Awesome Open Source
Awesome Open Source

Top Deep Learning Projects

A list of popular github projects related to deep learning (ranked by stars).

Last Update: 2020.07.09 | Project Name | Stars | Description | | ------- | ------ | ------ | |tensorflow|146k|An Open Source Machine Learning Framework for Everyone| |keras|48.9k|Deep Learning for humans| |opencv|46.1k|Open Source Computer Vision Library| |pytorch|40k|Tensors and Dynamic neural networks in Python with strong GPU acceleration| |TensorFlow-Examples|38.1k|TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)| |tesseract|35.3k|Tesseract Open Source OCR Engine (main repository)| |face_recognition|35.2k|The world's simplest facial recognition api for Python and the command line| |faceswap|31.4k|Deepfakes Software For All| |transformers|30.4k|🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.| |100-Days-Of-ML-Code|29.1k|100 Days of ML Coding| |julia|28.1k|The Julia Language: A fresh approach to technical computing.| |gold-miner|26.6k|🥇掘金翻译计划,可能是世界最大最好的英译中技术社区,最懂读者和译者的翻译平台:| |awesome-scalability|26.6k|The Patterns of Scalable, Reliable, and Performant Large-Scale Systems| |basics|24.5k|📚 Learn ML with clean code, simplified math and illustrative visuals.| |bert|23.9k|TensorFlow code and pre-trained models for BERT| |funNLP|22.1k|(Machine Learning)NLP面试中常考到的知识点和代码实现、nlp4han:中文自然语言处理工具集(断句/分词/词性标注/组块/句法分析/语义分析/NER/N元语法/HMM/代词消解/情感分析/拼写检查、XLM:Face…| |xgboost|19.4k|Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow| |Real-Time-Voice-Cloning|18.4k|Clone a voice in 5 seconds to generate arbitrary speech in real-time| |d2l-zh|17.9k|《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。| |openpose|17.8k|OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation| |Coursera-ML-AndrewNg-Notes|17.7k|吴恩达老师的机器学习课程个人笔记| |DeepFaceLab|17.3k|DeepFaceLab is the leading software for creating deepfakes.| |pytorch-tutorial|17.3k|PyTorch Tutorial for Deep Learning Researchers| |Mask_RCNN|17.2k|Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow| |spaCy|16.8k|💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython| |NLP-progress|16.2k|Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.| |100-Days-Of-ML-Code|15.6k|100-Days-Of-ML-Code中文版| |cs-video-courses|14.9k|List of Computer Science courses with video lectures.| |WaveFunctionCollapse|14.7k|Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics.| |lectures|14.7k|Oxford Deep NLP 2017 course| |reinforcement-learning|14.7k|Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accom…| |pwc|14.7k|Papers with code. Sorted by stars. Updated weekly.| |TensorFlow-Course|14.6k|Simple and ready-to-use tutorials for TensorFlow| |DeepSpeech|14.4k|A TensorFlow implementation of Baidu's DeepSpeech architecture| |pumpkin-book|14k|《机器学习》(西瓜书)公式推导解析,在线阅读地址:| |tfjs|13.5k|A WebGL accelerated JavaScript library for training and deploying ML models.| |examples|13.5k|A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.| |openface|13.5k|Face recognition with deep neural networks.| |Qix|13.3k|Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang| |spleeter|12.7k|Deezer source separation library including pretrained models.| |Virgilio|12.7k|Your new Mentor for Data Science E-Learning.| ||12.7k|《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning| |Screenshot-to-code|12.7k|A neural network that transforms a design mock-up into a static website.| |pytorch-CycleGAN-and-pix2pix|12.4k|Image-to-Image Translation in PyTorch| |pytorch-handbook|11.9k|pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行| |gun|11.9k|An open source cybersecurity protocol for syncing decentralized graph data.| |Paddle|11.8k|PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训…| |tensorflow-zh|11.8k|谷歌全新开源人工智能系统TensorFlow官方文档中文版| |darknet|11.4k|YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )| |learnopencv|11.4k|Learn OpenCV : C++ and Python Examples| |neural-networks-and-deep-learning|11.3k|Code samples for my book "Neural Networks and Deep Learning"| |google-research|11.2k|Google Research| |labelImg|11.2k|🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images| |gensim|11k|Topic Modelling for Humans| |pix2code|10.9k|pix2code: Generating Code from a Graphical User Interface Screenshot| |facenet|10.8k|Face recognition using Tensorflow| |DeOldify|10.7k|A Deep Learning based project for colorizing and restoring old images (and video!)| |python-machine-learning-book|10.7k|The "Python Machine Learning (1st edition)" book code repository and info resource| |stanford-cs-229-machine-learning|10.6k|VIP cheatsheets for Stanford's CS 229 Machine Learning| |mmdetection|10.5k|OpenMMLab Detection Toolbox and Benchmark| |face-api.js|10.4k|JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js| |Awesome-pytorch-list|10.4k|A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,t…| |nsfw_data_scraper|10.2k|Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier| |convnetjs|10k|Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.| |CycleGAN|9.8k|Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.| |streamlit|9.8k|Streamlit — The fastest way to build data apps in Python| |DeepCreamPy|9.7k|Decensoring Hentai with Deep Neural Networks| |stylegan|9.7k|StyleGAN - Official TensorFlow Implementation| |Dive-into-DL-PyTorch|9.6k|本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。| |stanford-tensorflow-tutorials|9.6k|This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.| |horovod|9.6k|Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.| |Deep-Learning-with-TensorFlow-book|9.4k|深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.| |neural-doodle|9.4k|Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)| |caire|9.3k|Content aware image resize library| |fast-style-transfer|9.2k|TensorFlow CNN for fast style transfer ⚡🖥🎨🖼| |ncnn|9.2k|ncnn is a high-performance neural network inference framework optimized for the mobile platform| |kubeflow|9.1k|Machine Learning Toolkit for Kubernetes| |nltk|9k|NLTK Source| |flair|9k|A very simple framework for state-of-the-art Natural Language Processing (NLP)| |ml-agents|9k|Unity Machine Learning Agents Toolkit| |allennlp|8.8k|An open-source NLP research library, built on PyTorch.| |botpress|8.8k|🤖 The Conversational Platform with built-in language understanding (NLU), beautiful graphical interface and Dialog Manager (DM). Easily create chatbots and AI-based virtual assistants.| |the-gan-zoo|8.7k|A list of all named GANs!| |EffectiveTensorflow|8.6k|TensorFlow tutorials and best practices.| |tfjs-core|8.5k|WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.| |fairseq|8.4k|Facebook AI Research Sequence-to-Sequence Toolkit written in Python.| |sonnet|8.4k|TensorFlow-based neural network library| |mit-deep-learning-book-pdf|8.3k|MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville| |TensorFlow-Tutorials|8.3k|TensorFlow Tutorials with YouTube Videos| |pytorch_geometric|8.2k|Geometric Deep Learning Extension Library for PyTorch| |tutorials|8.2k|机器学习相关教程| |fashion-mnist|8k|A MNIST-like fashion product database. Benchmark 👉| |bert-as-service|7.9k|Mapping a variable-length sentence to a fixed-length vector using BERT model| |pix2pix|7.8k|Image-to-image translation with conditional adversarial nets| |mediapipe|7.7k|MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.| |recommenders|7.7k|Best Practices on Recommendation Systems| |mit-deep-learning|7.7k|Tutorials, assignments, and competitions for MIT Deep Learning related courses.| |pytorch-book|7.6k|PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)| |Winds|7.6k|A Beautiful Open Source RSS & Podcast App Powered by| |vid2vid|7.4k|Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.| |Learn_Machine_Learning_in_3_Months|7.3k|This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube| |golearn|7.3k|Machine Learning for Go| |Keras-GAN|7.2k|Keras implementations of Generative Adversarial Networks.| ||7k|Open Machine Learning Course| |faceai|7k|一款入门级的人脸、视频、文字检测以及识别的项目.| |pysc2|6.9k|StarCraft II Learning Environment| |pretrained-models.pytorch|6.9k|Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.| |PyTorch-GAN|6.7k|PyTorch implementations of Generative Adversarial Networks.| |vision|6.7k|Datasets, Transforms and Models specific to Computer Vision| |nlp-tutorial|6.6k|Natural Language Processing Tutorial for Deep Learning Researchers| |bullet3|6.6k|Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics,| |DCGAN-tensorflow|6.6k|A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"| |tfjs-models|6.5k|Pretrained models for TensorFlow.js| |abu|6.5k|阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构| |pytorch-lightning|6.5k|The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate| |tensorboardX|6.4k|tensorboard for pytorch (and chainer, mxnet, numpy, ...)| |machine-learning-course|6.4k|💬 Machine Learning Course with Python:| |guess|6.3k|🔮 Libraries & tools for enabling Machine Learning driven user-experiences on the web| |pyro|6.3k|Deep universal probabilistic programming with Python and PyTorch| |lab|6.2k|A customisable 3D platform for agent-based AI research| ||6.2k|Companion webpage to the book "Mathematics For Machine Learning"| |Interview|6.2k|Interview = 简历指南 + LeetCode + Kaggle| |tensorlayer|6.2k|Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥| |generative-models|6.1k|Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.| |machine-learning-yearning-cn|6.1k|Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著| |keras-yolo3|6k|A Keras implementation of YOLOv3 (Tensorflow backend)| |BossSensor|5.9k|Hide screen when boss is approaching.| |tensorflow2_tutorials_chinese|5.9k|tensorflow2中文教程,持续更新(当前版本:tensorflow2.0),tag: tensorflow 2.0 tutorials| |TensorFlow-Tutorials|5.9k|Simple tutorials using Google's TensorFlow Framework| |argo|5.9k|Argo Workflows: Get stuff done with Kubernetes.| |python-machine-learning-book-2nd-edition|5.8k|The "Python Machine Learning (2nd edition)" book code repository and info resource| |dvc|5.7k|🦉Data Version Control | Git for Data & Models| |EasyPR|5.7k|An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.| |AdversarialNetsPapers|5.6k|The classical paper list with code about generative adversarial nets| |tensorpack|5.6k|A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility| |photoprism|5.6k|Personal Photo Management powered by Go and Google TensorFlow| |tensorflow_cookbook|5.6k|Code for Tensorflow Machine Learning Cookbook| |albumentations|5.6k|fast image augmentation library and easy to use wrapper around other libraries| |swift|5.6k|Swift for TensorFlow| |darkflow|5.6k|Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices| |tensorflow_tutorials|5.5k|From the basics to slightly more interesting applications of Tensorflow| |deep-learning-coursera|5.5k|Deep Learning Specialization by Andrew Ng on Coursera.| |transferlearning|5.5k|Everything about Transfer Learning and Domain Adaptation--迁移学习| |ML-NLP|5.5k|此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。| |nmt|5.5k|TensorFlow Neural Machine Translation Tutorial| |faster-rcnn.pytorch|5.5k|A faster pytorch implementation of faster r-cnn| |UGATIT|5.4k|Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Inst…| |pandas-profiling|5.4k|Create HTML profiling reports from pandas DataFrame objects| |deep-residual-networks|5.4k|Deep Residual Learning for Image Recognition| |xlnet|5.3k|XLNet: Generalized Autoregressive Pretraining for Language Understanding| |leeml-notes|5.2k|李宏毅《机器学习》笔记,在线阅读地址:| |wav2letter|5.2k|Facebook AI Research's Automatic Speech Recognition Toolkit| |neural-style|5.2k|Neural style in TensorFlow! 🎨| |CVPR2020-Paper-Code-Interpretation|5.2k|cvpr2020/cvpr2019/cvpr2018/cvpr2017 papers,极市团队整理| |TensorFlow-2.x-Tutorials|5.2k|TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT exampl…| |yolov3|5.2k|YOLOv3 in PyTorch > ONNX > CoreML > iOS| |cnn-text-classification-tf|5.2k|Convolutional Neural Network for Text Classification in Tensorflow| |seq2seq|5.2k|A general-purpose encoder-decoder framework for Tensorflow| |chineseocr_lite|5.1k|超轻量级中文ocr,支持竖排文字识别, 支持ncnn推理 , dbnet(1.7M) + crnn(6.3M) + anglenet(1.5M) 总模型仅10M| |featuretools|5k|An open source python library for automated feature engineering| |labelme|5k|Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).| |ImageAI|5k|A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities| |nlp-recipes|5k|Natural Language Processing Best Practices & Examples| |have-fun-with-machine-learning|4.9k|An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks| |eat_tensorflow2_in_30_days|4.9k|Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋| |tensorflow-wavenet|4.9k|A TensorFlow implementation of DeepMind's WaveNet paper| |PyTorch-Tutorial|4.9k|Build your neural network easy and fast| |stylegan2|4.9k|StyleGAN2 - Official TensorFlow Implementation| |h2o-3|4.9k|Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBo…| |awesome-machine-learning-on-source-code|4.8k|Cool links & research papers related to Machine Learning applied to source code (MLonCode)| |Learning-to-See-in-the-Dark|4.8k|Learning to See in the Dark. CVPR 2018| |PyTorch-YOLOv3|4.8k|Minimal PyTorch implementation of YOLOv3| |first-order-model|4.8k|This repository contains the source code for the paper First Order Motion Model for Image Animation| |models|4.8k|Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证的深度学习模型)| |smile|4.8k|Statistical Machine Intelligence & Learning Engine| |keras-js|4.7k|Run Keras models in the browser, with GPU support using WebGL| |carla|4.7k|Open-source simulator for autonomous driving research.| |keras-rl|4.7k|Deep Reinforcement Learning for Keras.| |useful-java-links|4.7k|A list of useful Java frameworks, libraries, software and hello worlds examples| |Awesome-CoreML-Models|4.7k|Largest list of models for Core ML (for iOS 11+)| |python-small-examples|4.7k|告别枯燥,致力于打造 Python 富有体系且实用的小例子、小案例。| |gcn|4.7k|Implementation of Graph Convolutional Networks in TensorFlow| |introduction_to_ml_with_python|4.7k|Notebooks and code for the book "Introduction to Machine Learning with Python"| |stargan|4.6k|StarGAN - Official PyTorch Implementation (CVPR 2018)| |pix2pixHD|4.6k|Synthesizing and manipulating 2048x1024 images with conditional GANs| |Data-Science-Wiki|4.6k|A wiki of DataScience, Statistics, Maths, R,Python, AI, Machine Learning, Automation, Devops Tools, Bash, Linux Tutor…| |MVision|4.6k|机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶| |cleverhans|4.6k|An adversarial example library for constructing attacks, building defenses, and benchmarking both| |vaex|4.6k|Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second 🚀| |Grokking-Deep-Learning|4.6k|this repository accompanies the book "Grokking Deep Learning"| |trax|4.5k|Trax — Deep Learning with Clear Code and Speed| |graph_nets|4.5k|Build Graph Nets in Tensorflow| |edward|4.5k|A probabilistic programming language in TensorFlow. Deep generative models, variational inference.| |TensorFlow-World|4.5k|🌎 Simple and ready-to-use tutorials for TensorFlow| |imbalanced-learn|4.5k|A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning| |machine-learning-mindmap|4.5k|A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.| |seq2seq-couplet|4.5k|Play couplet with seq2seq model. 用深度学习对对联。| |EfficientNet-PyTorch|4.4k|A PyTorch implementation of EfficientNet| |TensorFlow-Book|4.4k|Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.| |stanza|4.4k|Official Stanford NLP Python Library for Many Human Languages| |amazon-dsstne|4.4k|Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) ma…| |cnn-explainer|4.4k|Learning Convolutional Neural Networks with Interactive Visualization.| |Realtime_Multi-Person_Pose_Estimation|4.4k|Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)| |stanford-cs-230-deep-learning|4.3k|VIP cheatsheets for Stanford's CS 230 Deep Learning| |Real-Time-Person-Removal|4.3k|Removing people from complex backgrounds in real time using TensorFlow.js in the web browser| |OpenNMT-py|4.3k|Open Source Neural Machine Translation in PyTorch| |tensorflow_practice|4.3k|tensorflow实战练习,包括强化学习、推荐系统、nlp等| |pytorch-cnn-visualizations|4.2k|Pytorch implementation of convolutional neural network visualization techniques| |tensorspace|4.2k|Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep …| |DeepLearningExamples|4.2k|Deep Learning Examples| |sketch-code|4.2k|Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to dra…| |deeplearning-papernotes|4.2k|Summaries and notes on Deep Learning research papers| |apex|4.2k|A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch| |AlphaPose|4.1k|Real-Time and Accurate Multi-Person Pose Estimation&Tracking System| |attention-is-all-you-need-pytorch|4.1k|A PyTorch implementation of the Transformer model in "Attention is All You Need".| |nmap|4.1k|Nmap - the Network Mapper. Github mirror of official SVN repository.| |Machine-learning-learning-notes|4.1k|周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有…| |serenata-de-amor|4.1k|🕵 Artificial Intelligence for social control of public administration| |practical-pytorch|4.1k|DEPRECATED and not maintained - see official repo at| |pytorch-image-models|4.1k|PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more| |face-alignment|4k|🔥 2D and 3D Face alignment library build using pytorch| |learning-to-learn|4k|Learning to Learn in TensorFlow| |machine-learning-notes|4k|My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更…| |umap|4k|Uniform Manifold Approximation and Projection| |DeepLearningZeroToAll|4k|TensorFlow Basic Tutorial Labs| |gluon-cv|4k|Gluon CV Toolkit| |pipeline|4k|PipelineAI Kubeflow Distribution| |snorkel|4k|A system for quickly generating training data with weak supervision| |DIGITS|4k|Deep Learning GPU Training System| |DenseNet|4k|Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).| |awesome-project-ideas|4k|Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas| |tutorials|4k|PyTorch tutorials.| |Deep-Learning-21-Examples|3.9k|《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码| |DeepLearningTutorials|3.9k|Deep Learning Tutorial notes and code. See the wiki for more info.| |textgenrnn|3.9k|Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines …| |lucid|3.8k|A collection of infrastructure and tools for research in neural network interpretability.| |nsfwjs|3.8k|NSFW detection on the client-side via TensorFlow.js| |ssd.pytorch|3.8k|A PyTorch Implementation of Single Shot MultiBox Detector| |MachineLearning|3.8k|Basic Machine Learning and Deep Learning| |Tensorflow-Tutorial|3.8k|Tensorflow tutorial from basic to hard| |awesome-ml-for-cybersecurity|3.8k|Machine Learning for Cyber Security| |daily-paper-computer-vision|3.8k|记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文| |SSD-Tensorflow|3.8k|Single Shot MultiBox Detector in TensorFlow| |cvat|3.8k|Powerful and efficient Computer Vision Annotation Tool (CVAT)| |deep-learning-roadmap|3.8k|📡 All You Need to Know About Deep Learning - A kick-starter| |sqlflow|3.8k|Brings SQL and AI together.| |mmf|3.7k|A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)| |tensorflow-docs|3.7k|TensorFlow 最新官方文档中文版| |iGAN|3.7k|Interactive Image Generation via Generative Adversarial Networks| |CapsNet-Tensorflow|3.7k|A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules| |Yet-Another-EfficientDet-Pytorch|3.6k|The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.| |pytorch-examples|3.6k|Simple examples to introduce PyTorch| |ML_for_Hackers|3.6k|Code accompanying the book "Machine Learning for Hackers"| |docs|3.6k|TensorFlow documentation| |tensorflow-generative-model-collections|3.6k|Collection of generative models in Tensorflow| ||3.6k|This repository contains my personal notes and summaries on specialization courses. I've enjoyed ever…| |BERT-pytorch|3.6k|Google AI 2018 BERT pytorch implementation| |pwnagotchi|3.5k|(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.| |HyperLPR|3.5k|基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.| |deep-learning|3.5k|Repo for the Deep Learning Nanodegree Foundations program.| |TensorFlowOnSpark|3.5k|TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.| |BigDL|3.5k|BigDL: Distributed Deep Learning Framework for Apache Spark| |AlgoWiki|3.5k|Repository which contains links and resources on different topics of Computer Science.| |examples|3.5k|TensorFlow examples| |tf-faster-rcnn|3.4k|Tensorflow Faster RCNN for Object Detection| |tf-pose-estimation|3.4k|Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.| |awesome-machine-learning-cn|3.4k|机器学习资源大全中文版,包括机器学习领域的框架、库以及软件| |metaflow|3.4k|Build and manage real-life data science projects with ease.| |deep-reinforcement-learning|3.3k|Repo for the Deep Reinforcement Learning Nanodegree program| |semantic-segmentation-pytorch|3.3k|Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset| |gocv|3.3k|Go package for computer vision using OpenCV 4 and beyond.| |d2l-pytorch|3.3k|This project reproduces the book Dive Into Deep Learning (, adapting the code from MXNet into PyTorch.| |Chinese-BERT-wwm|3.3k|Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)| |SmartCropper|3.3k|🔥 A library for cropping image in a smart way that can identify the border and correct the cropped image. 智能图片裁剪框架。自动识别边框,手动调节选区,使用透视变换裁剪并矫正选区;适用于身份证,名片,文档等照片的裁剪。| |PyTorchZeroToAll|3.3k|Simple PyTorch Tutorials Zero to ALL!| |pyAudioAnalysis|3.3k|Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications| |InterpretableMLBook|3.3k|《可解释的机器学习--黑盒模型可解释性理解指南》,该书为《Interpretable Machine Learning》中文版| |snips-nlu|3.3k|Snips Python library to extract meaning from text| |pyod|3.3k|A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)| |DeepLearning|3.2k|深度学习入门教程, 优秀文章, Deep Learning Tutorial| |vespa|3.2k|Vespa is an engine for low-latency computation over large data sets.| |deep-voice-conversion|3.2k|Deep neural networks for voice conversion (voice style transfer) in Tensorflow| |lightfm|3.2k|A Python implementation of LightFM, a hybrid recommendation algorithm.| |machine-learning|3.2k|Content for Udacity's Machine Learning curriculum| |skflow|3.2k|Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning| |Tensorflow-Project-Template|3.2k|A best practice for tensorflow project template architecture.| |EasyOCR|3.2k|Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai| |text-classification-cnn-rnn|3.1k|CNN-RNN中文文本分类,基于TensorFlow| |MachineLearning_Python|3.1k|机器学习算法python实现| |imagededup|3.1k|😎 Finding duplicate images made easy!| |MatchZoo|3.1k|Facilitating the design, comparison and sharing of deep text matching models.| |transformer|3.1k|A TensorFlow Implementation of the Transformer: Attention Is All You Need| |tensorflow_poems|3.1k|中文古诗自动作诗机器人,屌炸天,基于tensorflow1.10 api,正在积极维护升级中,快star,保持更新!| |Deep-Learning-Roadmap|3.1k|📡 Organized Resources for Deep Learning Researchers and Developers| |label-studio|3.1k|Label Studio is a multi-type data labeling and annotation tool with standardized output format| |ASRT_SpeechRecognition|3.1k|A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统| |benchmark_results|3.1k|Visual Tracking Paper List| |Machine-Learning|3k|⚡机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归| |yolact|3k|A simple, fully convolutional model for real-time instance segmentation.| |trfl|3k|TensorFlow Reinforcement Learning| |pytorch-cifar|3k|95.16% on CIFAR10 with PyTorch| |sacred|3k|Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.| |yolov5|3k|YOLOv5 in PyTorch > ONNX > CoreML > iOS| |Reinforcement-Learning|3k|Learn Deep Reinforcement Learning in 60 days! 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Both training from scratch and inferring directly from pretrained Detectron we…| |LSTM-Human-Activity-Recognition|2.6k|Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier| |neural-style-tf|2.6k|TensorFlow (Python API) implementation of Neural Style| |Pytorch-UNet|2.6k|PyTorch implementation of the U-Net for image semantic segmentation with high quality images| |kornia|2.6k|Open Source Differentiable Computer Vision Library for PyTorch| |Ad-papers|2.6k|Papers on Computational Advertising| |deep-high-resolution-net.pytorch|2.6k|The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Hum…| |VoTT|2.6k|Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.| |espnet|2.6k|End-to-End Speech Processing Toolkit| |ltp|2.6k|Language Technology Platform| |Learn_Deep_Learning_in_6_Weeks|2.6k|This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube| |keras-vis|2.6k|Neural network visualization toolkit for keras| |onnxruntime|2.6k|ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator| |3DDFA|2.6k|The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.| |olivia|2.6k|💁‍♀️Your new best friend powered by an artificial neural network| |albert_zh|2.6k|A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型| |ai-deadlines|2.6k|⏰ AI conference deadline countdowns| |opencvsharp|2.5k|.NET Framework wrapper for OpenCV| |telegram-list|2.5k|List of telegram groups, channels & bots // Список интересных групп, каналов и ботов телеграма // Список чатов для программистов| |easy12306|2.5k|使用机器学习算法完成对12306验证码的自动识别| |rust|2.5k|Rust language bindings for TensorFlow| |miles-deep|2.5k|Deep Learning Porn Video Classifier/Editor with Caffe| |VisualDL|2.5k|Deep Learning Visualization Toolkit(『飞桨』深度学习可视化工具 )| |SinGAN|2.5k|Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"| |t81_558_deep_learning|2.5k|Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks| |training|2.5k|🐝 Custom Object Detection and Classification Training| |PocketFlow|2.5k|An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.| |autogluon|2.5k|AutoGluon: AutoML Toolkit for Deep Learning| |simple-faster-rcnn-pytorch|2.5k|A simplified implemention of Faster R-CNN that replicate performance from origin paper| |MITIE|2.5k|MITIE: library and tools for information extraction| |reinforcement-learning|2.5k|Minimal and Clean Reinforcement Learning Examples| |ISLR-python|2.4k|An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code| |EAST|2.4k|A tensorflow implementation of EAST text detector| |DeepNLP-models-Pytorch|2.4k|Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)| |Machine-Learning-with-Python|2.4k|Python code for common Machine Learning Algorithms| |stanford_dl_ex|2.4k|Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial| |tensorflow-internals|2.4k|It is open source ebook about TensorFlow kernel and implementation mechanism.| |DeepLearning|2.4k|Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现| |text|2.4k|Data loaders and abstractions for text and NLP| |ALAE|2.4k|[CVPR2020] Adversarial Latent Autoencoders| |pytorch-summary|2.4k|Model summary in PyTorch similar to model.summary() in Keras| |pytorch-doc-zh|2.4k|Pytorch 中文文档| |Deep_reinforcement_learning_Course|2.4k|Implementations from the free course Deep Reinforcement Learning with Tensorflow| |ML-Tutorial-Experiment|2.4k|Coding the Machine Learning Tutorial for Learning to Learn| |pytorch-Deep-Learning|2.4k|Deep Learning (with PyTorch)| |models|2.4k|A collection of pre-trained, state-of-the-art models in the ONNX format| |book|2.4k|Deep Learning 101 with PaddlePaddle (『飞桨』深度学习框架入门教程)| |PyTorch_Tutorial|2.4k|《Pytorch模型训练实用教程》中配套代码| |Dive-into-DL-TensorFlow2.0|2.4k|本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的同意| |Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials|2.4k|A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding in…| |segmentation_models|2.4k|Segmentation models with pretrained backbones. 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DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.| |keras-attention-mechanism|2.1k|Attention mechanism Implementation for Keras.| |Meta-Learning-Papers|2.1k|Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning| |tacotron|2.1k|A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)| |machinelearninginaction|2.1k|Source Code for the book: Machine Learning in Action published by Manning| |BuildingMachineLearningSystemsWithPython|2.1k|Source Code for the book Building Machine Learning Systems with Python| |CHINESE-OCR|2.1k|[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别| |deepdetect|2.1k|Deep Learning API and Server in C++11 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost an…| |XLM|2.1k|PyTorch original implementation of Cross-lingual Language Model Pretraining.| |tensorflow-on-raspberry-pi|2.1k|TensorFlow for Raspberry Pi| |decaNLP|2.1k|The Natural Language Decathlon: A Multitask Challenge for NLP| |AlphaZero_Gomoku|2.1k|An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)| |pytorch-beginner|2.1k|pytorch tutorial for beginners| |tangent|2.1k|Source-to-Source Debuggable Derivatives in Pure Python| |Person_reID_baseline_pytorch|2.1k|A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉…| |mmlspark|2k|Microsoft Machine Learning for Apache Spark| |FATE|2k|An Industrial Level Federated Learning Framework| |text-to-image|2k|Text to image synthesis using thought vectors| |pytorch-sentiment-analysis|2k|Tutorials on getting started with PyTorch and TorchText for sentiment analysis.| |ELF|2k|An End-To-End, Lightweight and Flexible Platform for Game Research| |catalyst|2k|Accelerated DL R&D| |neuralcoref|2k|✨Fast Coreference Resolution in spaCy with Neural Networks| |DeepRL-Agents|2k|A set of Deep Reinforcement Learning Agents implemented in Tensorflow.| |RL-Adventure|2k|Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchic…| |fe4ml-zh|2k|📖 [译] 面向机器学习的特征工程| |lingvo|2k|Lingvo| |pytorch-generative-model-collections|2k|Collection of generative models in Pytorch version.| |ResNeSt|2k|ResNeSt: Split-Attention Networks| |TensorFlow-Tutorials|2k|텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다| |MUNIT|2k|Multimodal Unsupervised Image-to-Image Translation| |oneDNN|2k|oneAPI Deep Neural Network Library (oneDNN)| |deepvariant|2k|DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.| |texar|2k|Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow| |kaolin|2k|A PyTorch Library for Accelerating 3D Deep Learning Research| |Clairvoyant|2k|Software designed to identify and monitor social/historical cues for short term stock movement| |implicit|2k|Fast Python Collaborative Filtering for Implicit Feedback Datasets| |DeepRL|2k|Modularized Implementation of Deep RL Algorithms in PyTorch| |lgo|2k|Interactive Go programming with Jupyter| |kcws|2k|Deep Learning Chinese Word Segment| |tensorflow-build-archived|2k|TensorFlow binaries supporting AVX, FMA, SSE| |dm_control|2k|DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.| |gpytorch|2k|A highly efficient and modular implementation of Gaussian Processes in PyTorch| |Neural-Photo-Editor|1.9k|A simple interface for editing natural photos with generative neural networks.| |alpha-zero-general|1.9k|A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4| |tacotron2|1.9k|Tacotron 2 - PyTorch implementation with faster-than-realtime inference| |siamese-triplet|1.9k|Siamese and triplet networks with online pair/triplet mining in PyTorch| |awesome-quant|1.9k|中国的Quant相关资源索引| |image-super-resolution|1.9k|🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.| |generative_inpainting|1.9k|DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral| |code-of-learn-deep-learning-with-pytorch|1.9k|This is code of book "Learn Deep Learning with PyTorch"| |gpt-2-simple|1.9k|Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts| |DeepInterests|1.9k|深度有趣| |segmentation_models.pytorch|1.9k|Segmentation models with pretrained backbones. PyTorch.| |human-pose-estimation.pytorch|1.9k|The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(h…| |BigGAN-PyTorch|1.9k|The author's officially unofficial PyTorch BigGAN implementation.| |pytorch-playground|1.9k|Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)| |bertviz|1.9k|Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)| |face.evoLVe.PyTorch|1.9k|🔥🔥High-Performance Face Recognition Library on PyTorch🔥🔥| |Reco-papers|1.8k|Classic papers and resources on recommendation| |coach|1.8k|Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms| |sling|1.8k|SLING - A natural language frame semantics parser| |pytorch-deeplab-xception|1.8k|DeepLab v3+ model in PyTorch. Support different backbones.| |mmskeleton|1.8k|A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.| |sru|1.8k|Training RNNs as Fast as CNNs (| |pytorch-seq2seq|1.8k|Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.| |Deep-Learning-Interview-Book|1.8k|深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)| |pai|1.8k|Resource scheduling and cluster management for AI| |AI-Blocks|1.8k|A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!| |scikit-optimize|1.8k|Sequential model-based optimization with a scipy.optimize interface| |sequence_tagging|1.8k|Named Entity Recognition (LSTM + CRF) - Tensorflow| |zh-NER-TF|1.8k|A very simple BiLSTM-CRF model for Chinese Named Entity Recognition 中文命名实体识别 (TensorFlow)| |donkeycar|1.8k|Open source hardware and software platform to build a small scale self driving car.| |edge-connect|1.8k|EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019| |awd-lstm-lm|1.7k|LSTM and QRNN Language Model Toolkit for PyTorch| |pytorch-kaldi|1.7k|pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.| |Bender|1.7k|Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.| |zi2zi|1.7k|Learning Chinese Character style with conditional GAN| |automl-gs|1.7k|Provide an input CSV and a target field to predict, generate a model + code to run it.| |stats|1.7k|A well tested and comprehensive Golang statistics library package with no dependencies.| |ranking|1.7k|Learning to Rank in TensorFlow| |mathAI|1.7k|一个拍照做题程序。输入一张包含数学计算题的图片,输出识别出的数学计算式以及计算结果。This is a mathematic expression recognition project.| |spark-ml-source-analysis|1.7k|spark ml 算法原理剖析以及具体的源码实现分析| |video-object-removal|1.7k|Just draw a bounding box and you can remove the object you want to remove.| |datascience-pizza|1.7k|🍕 Repositório para juntar informações sobre materiais de estudo em análise de dados e áreas afins, empresas que trabalham com dados e dicionário de conceitos| |data-science-interviews|1.7k|Data science interview questions and answers| |yolov3-tf2|1.7k|YoloV3 Implemented in Tensorflow 2.0| |ComputeLibrary|1.7k|The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs using SIMD technologies.| |tacotron|1.7k|A TensorFlow Implementation of Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model| |DeepLearn|1.7k|Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.| |analytics-zoo|1.7k|Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray| |PyTorch-NLP|1.7k|Basic Utilities for PyTorch Natural Language Processing (NLP)| |captcha_break|1.7k|验证码识别| |crnn|1.7k|Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.| |DeblurGAN|1.7k|Image Deblurring using Generative Adversarial Networks| |robosat|1.6k|Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds| |pointnet2|1.6k|PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space| |AutonomousDrivingCookbook|1.6k|Scenarios, tutorials and demos for Autonomous Driving| |imgclsmob|1.6k|Sandbox for training convolutional networks for computer vision| |tf_unet|1.6k|Generic U-Net Tensorflow implementation for image segmentation| |torchsample|1.6k|High-Level Training, Data Augmentation, and Utilities for Pytorch| |nlp|1.6k|🤗nlp – Datasets and evaluation metrics for Natural Language Processing in NumPy, Pandas, PyTorch and TensorFlow| |hdbscan|1.6k|A high performance implementation of HDBSCAN clustering.| |m2cgen|1.6k|Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby) with zero dependencies| |fastNLP|1.6k|fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.| |keras-yolo2|1.6k|Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at (not on Windows).| |Awesome-Chatbot|1.6k|Awesome Chatbot Projects,Corpus,Papers,Tutorials.Chinese Chatbot =>:| |knockknock|1.6k|🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code| |MTBook|1.6k|《机器翻译:统计建模与深度学习方法》肖桐 朱靖波 著 - Machine Translation: Statistical Modeling and Deep Learning Methods| |trains|1.6k|TRAINS - Auto-Magical Experiment Manager & Version Control for AI - NOW WITH AUTO-MAGICAL DEVOPS!| |self-driving-car|1.6k|Udacity Self-Driving Car Engineer Nanodegree projects.| |cnn_captcha|1.6k|use cnn recognize captcha by tensorflow. 本项目针对字符型图片验证码,使用tensorflow实现卷积神经网络,进行验证码识别。| |XLearning|1.6k|AI on Hadoop| |Tacotron-2|1.6k|DeepMind's Tacotron-2 Tensorflow implementation| |fast-wavenet|1.6k|Speedy Wavenet generation using dynamic programming ⚡| |spacy-course|1.6k|👩‍🏫 Advanced NLP with spaCy: A free online course| |gandissect|1.6k|Pytorch-based tools for visualizing and understanding the neurons of a GAN.| |NCRFpp|1.6k|NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.| |stargan-v2|1.6k|StarGAN v2 - Official PyTorch Implementation (CVPR 2020)| |tinyflow|1.6k|Tutorial code on how to build your own Deep Learning System in 2k Lines| |UNIT|1.6k|Unsupervised Image-to-Image Translation| |ssd_keras|1.6k|A Keras port of Single Shot MultiBox Detector| |cosin|1.5k|🌲 春松客服,多渠道智能客服系统,开源客服系统| |foolbox|1.5k|A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX| |capsule-networks|1.5k|A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".| |flogo|1.5k|Project Flogo is an open source ecosystem of opinionated event-driven capabilities to simplify building efficient & modern serverless functions, microservices & edge apps.| |lip-reading-deeplearning|1.5k|🔓 Lip Reading - Cross Audio-Visual Recognition using 3D Architectures| |hummingbird|1.5k|Hummingbird compiles trained ML models into tensor computation for faster inference.| |deep-rl-tensorflow|1.5k|TensorFlow implementation of Deep Reinforcement Learning papers| |practical-machine-learning-with-python|1.5k|Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.| |NeuroNER|1.5k|Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.| |wavenet_vocoder|1.5k|WaveNet vocoder| |awesome-hand-pose-estimation|1.5k|Awesome work on hand pose estimation/tracking| |mAP|1.5k|mean Average Precision - This code evaluates the performance of your neural net for object recognition.| |agents|1.5k|TF-Agents is a library for Reinforcement Learning in TensorFlow| |CADL|1.5k|ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL| |tensorflow-DeepFM|1.5k|Tensorflow implementation of DeepFM for CTR prediction.| |tensorflow-1.4-billion-password-analysis|1.5k|Deep Learning model to analyze a large corpus of clear text passwords.| |DAT8|1.5k|General Assembly's 2015 Data Science course in Washington, DC| |NeMo|1.5k|NeMo: a toolkit for conversational AI| |Machine-Learning-Flappy-Bird|1.5k|Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm| |ml-visuals|1.5k|Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.| |GANimation|1.5k|GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]| |EagleEye|1.5k|Stalk your Friends. Find their Instagram, FB and Twitter Profiles using Image Recognition and Reverse Image Search.| |PyTorch-Encoding|1.5k|A PyTorch CV Toolkit| |spark|1.5k|.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.| |quiver|1.5k|Interactive convnet features visualization for Keras| |MachineLearning|1.5k|一些关于机器学习的学习资料与研究介绍| |GAT|1.5k|Graph Attention Networks (| |mt-dnn|1.4k|Multi-Task Deep Neural Networks for Natural Language Understanding| |deep-neuroevolution|1.4k|Deep Neuroevolution| |a-PyTorch-Tutorial-to-Object-Detection|1.4k|SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection| |labelbox|1.4k|Labelbox is the fastest way to annotate data to build and ship computer vision applications.| |openvino|1.4k|OpenVINO™ Toolkit repository| |awesome-decision-tree-papers|1.4k|A collection of research papers on decision, classification and regression trees with implementations.| |project_alias|1.4k|Alias is a teachable “parasite” that is designed to give users more control over their smart assistants, both when it comes to customisation and privacy. Through a simple app the user can train Alias to react on a custom wake-word/sound, and once trained, Alias can take control over your home assistant by activating it for you.| |data-science-question-answer|1.4k|A repo for data science related questions and answers| |photo2cartoon|1.4k|人像卡通化探索项目 (photo-to-cartoon translation project)| |video2x|1.4k|A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley 2, 2018.| |Tengine|1.4k|Tengine is a lite, high performance, modular inference engine for embedded device| |cuml|1.4k|cuML - RAPIDS Machine Learning Library| |BentoML|1.4k|Model Serving Made Easy| |GANotebooks|1.4k|wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch| |MobileNet|1.4k|MobileNet build with Tensorflow| |CRAFT-pytorch|1.4k|Official implementation of Character Region Awareness for Text Detection (CRAFT)| |mlr|1.4k|Machine Learning in R| |monodepth2|1.4k|Monocular depth estimation from a single image| |TensorKart|1.4k|self-driving MarioKart with TensorFlow| |keras-contrib|1.4k|Keras community contributions| |stellargraph|1.4k|StellarGraph - Machine Learning on Graphs| |GDLnotes|1.4k|Google Deep Learning Notes(TensorFlow教程)| |pydensecrf|1.4k|Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.| |seldon-server|1.4k|Machine Learning Platform and Recommendation Engine built on Kubernetes| |chainercv|1.4k|ChainerCV: a Library for Deep Learning in Computer Vision| |tensorflow-nlp|1.4k|Building blocks for NLP and Text Generation in TensorFlow 2.x / 1.x| |iOS_ML|1.4k|List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.| |tfgo|1.4k|Tensorflow + Go, the gopher way| |bi-att-flow|1.4k|Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.| |CoreML-in-ARKit|1.4k|Simple project to detect objects and display 3D labels above them in AR. This serves as a basic Template for an ARKit project to use CoreML.| |lightning|1.4k|Large-scale linear classification, regression and ranking in Python| |DeepFace|1.4k|Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.| |torch2trt|1.4k|An easy to use PyTorch to TensorRT converter| |deepvoice3_pytorch|1.4k|PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models| |sphereface|1.4k|Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.| |jeelizFaceFilter|1.4k|Javascript/WebGL lightweight face tracking library designed for augmented reality webcam filters. Features : multiple faces detection, rotation, mouth opening. Various integration examples are provided (Three.js, Babylon.js, FaceSwap, Canvas2D, CSS3D...).| |kaggle-web-traffic|1.4k|1st place solution| |minimalRL|1.4k|Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)| |Machine-Learning-Notes|1.4k|周志华《机器学习》手推笔记| |Gen.jl|1.4k|A general-purpose probabilistic programming system with programmable inference| |faster_rcnn_pytorch|1.4k|Faster RCNN with PyTorch| |sod|1.4k|An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)| |keras_to_tensorflow|1.4k|General code to convert a trained keras model into an inference tensorflow model| |handtracking|1.3k|Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow| |word-rnn-tensorflow|1.3k|Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.| |TorchCraft|1.3k|Connecting Torch to StarCraft| |AndroidTensorFlowMachineLearningExample|1.3k|Android TensorFlow MachineLearning Example (Building TensorFlow for Android)| |magnitude|1.3k|A fast, efficient universal vector embedding utility package.| |hackermath|1.3k|Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way| |pytorch-grad-cam|1.3k|PyTorch implementation of Grad-CAM| |grenade|1.3k|Deep Learning in Haskell| |captcha_trainer|1.3k|[验证码识别-训练] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is only for training the model.| |anago|1.3k|Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.| |mne-python|1.3k|MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python| |eos|1.3k|A lightweight 3D Morphable Face Model fitting library in modern C++14| |ngraph|1.3k|nGraph - open source C++ library, compiler and runtime for Deep Learning| |NSFWDetector|1.3k|A NSFW (aka porn) detector with CoreML| |open_nsfw_android|1.3k|🔥🔥🔥色情图片离线识别,基于TensorFlow实现。识别只需20ms,可断网测试,成功率99%,调用只要一行代码,从雅虎的开源项目open_nsfw移植,该模型文件可用于iOS、java、C++等平台| |cs230-code-examples|1.3k|Code examples in pyTorch and Tensorflow for CS230| |pytorch-generative-adversarial-networks|1.3k|A very simple generative adversarial network (GAN) in PyTorch| |forecasting|1.3k|Time Series Forecasting Best Practices & Examples| |VIBE|1.3k|Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"| |bulbea|1.3k|🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling| |electra|1.3k|ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators| |scattertext|1.3k|Beautiful visualizations of how language differs among document types.| |talos|1.3k|Hyperparameter Optimization for TensorFlow, Keras and PyTorch| |practicalAI-cn|1.3k|AI实战-practicalAI 中文版| |impersonator|1.3k|PyTorch implementation of our ICCV 2019 paper: Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis| |gluon-ts|1.3k|Probabilistic time series modeling in Python| |dcgan-completion.tensorflow|1.3k|Image Completion with Deep Learning in TensorFlow| |EfficientDet.Pytorch|1.3k|Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch| |NeuronBlocks|1.3k|NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego| |yolo2-pytorch|1.3k|YOLOv2 in PyTorch| |EmojiIntelligence|1.3k|Neural Network built in Apple Playground using Swift| |efficientnet|1.3k|Implementation of EfficientNet model. Keras and TensorFlow Keras.| |YOLOv3_TensorFlow|1.3k|Complete YOLO v3 TensorFlow implementation. 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(Training code to reproduce the original result is available.)| |python-machine-learning-book-3rd-edition|1.2k|The "Python Machine Learning (3rd edition)" book code repository| |tf-quant-finance|1.2k|High-performance TensorFlow library for quantitative finance.| |gnes|1.1k|GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.| |Image-OutPainting|1.1k|🏖 Keras Implementation of Painting outside the box| |Fabrik|1.1k|🏭 Collaboratively build, visualize, and design neural nets in browser| |attention-transfer|1.1k|Improving Convolutional Networks via Attention Transfer (ICLR 2017)| |pytorch-cifar100|1.1k|Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet)| |MONAI|1.1k|AI Toolkit for Healthcare Imaging| |tensorrec|1.1k|A TensorFlow recommendation algorithm and framework in Python.| |mleap|1.1k|MLeap: Deploy Spark Pipelines to Production| |noreward-rl|1.1k|[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning| |PyTorchNLPBook|1.1k|Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media| |mtcnn|1.1k|MTCNN face detection implementation for TensorFlow, as a PIP package.| |WaveRNN|1.1k|WaveRNN Vocoder + TTS| |UNet-family|1.1k|Paper and implementation of UNet-related model.| |Awesome-pytorch-list-CNVersion|1.1k|Awesome-pytorch-list 翻译工作进行中......| |tensorflow-fcn|1.1k|An Implementation of Fully Convolutional Networks in Tensorflow.| |BicycleGAN|1.1k|Toward Multimodal Image-to-Image Translation| |TensorFlow2.0-Examples|1.1k|🙄 Difficult algorithm, simple code.| |fast-autoaugment|1.1k|Official Implementation of 'Fast AutoAugment' in PyTorch.| |fastai_deeplearn_part1|1.1k|Notes for Fastai Deep Learning Course| |HyperGAN|1.1k|Composable GAN framework with api and user interface| |home|1.1k|ApacheCN 开源组织:公告、介绍、成员、活动、交流方式| |tfx|1.1k|TFX is an end-to-end platform for deploying production ML pipelines| |handwriting-synthesis|1.1k|Handwriting Synthesis with RNNs ✏️| |image-quality-assessment|1.1k|Convolutional Neural Networks to predict the aesthetic and technical quality of images.| |PerceptualSimilarity|1.1k|Learned Perceptual Image Patch Similarity (LPIPS) metric. In CVPR, 2018.| |lanenet-lane-detection|1.1k|Unofficial implemention of lanenet model for real time lane detection using deep neural network model| |uTensor|1.1k|TinyML AI inference library| |torchgan|1.1k|Research Framework for easy and efficient training of GANs based on Pytorch| |merlin|1.1k|This is now the official location of the Merlin project.| |CLUE|1k|中文语言理解基准测评 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard| |tfjs-node|1k|TensorFlow powered JavaScript library for training and deploying ML models on Node.js.| |CycleGAN-TensorFlow|1k|An implementation of CycleGan using TensorFlow| |EffectivePyTorch|1k|PyTorch tutorials and best practices.| |hercules|1k|Gaining advanced insights from Git repository history.| |AdvancedEAST|1k|AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which make long text predictions more accurate.| |one-pixel-attack-keras|1k|Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet| |CRNN_Chinese_Characters_Rec|1k|(CRNN) Chinese Characters Recognition.| |hmtl|1k|🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP| |rethinking-network-pruning|1k|Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)| |pytorch-classification|1k|Classification with PyTorch.| |a-PyTorch-Tutorial-to-Image-Captioning|1k|Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning| |reformer-pytorch|1k|Reformer, the efficient Transformer, in Pytorch| |pytorch-YOLOv4|1k|PyTorch ,ONNX and TensorRT implementation of YOLOv4| |FaceMaskDetection|1k|开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.| |gen-efficientnet-pytorch|1k|Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS| |open-reid|1k|Open source person re-identification library in python| |wgan-gp|1k|A pytorch implementation of Paper "Improved Training of Wasserstein GANs"|

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