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Data Science Ipython Notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
A Fast, Extensible Progress Bar for Python and CLI
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
100 Days Of Ml Code
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
Open standard for machine learning interoperability
Best Of Ml Python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
Keras implementations of Generative Adversarial Networks.
AutoML library for deep learning
A Keras implementation of YOLOv3 (Tensorflow backend)
Deep learning operations reinvented (for pytorch, tensorflow, jax and others)
Techniques for deep learning with satellite & aerial imagery
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Py tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
Setup and customize deep learning environment in seconds.
Deep Learning Models
Keras code and weights files for popular deep learning models.
A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Deep Reinforcement Learning for Keras.
keras implement of transformers for humans
Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.
Basic Machine Learning and Deep Learning
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
Keras implementation of RetinaNet object detection.
TensorFlow Basic Tutorial Labs
Lstm Neural Network For Time Series Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Fast, distributed, secure AI for Big Data
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Deep Learning In Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Model summary in PyTorch similar to `model.summary()` in Keras
Artificial Intelligence Deep Learning Machine Learning Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
Image Super Resolution
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
A high performance and generic framework for distributed DNN training
Sequence to Sequence Learning with Keras
Deep Learning Keras Tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
A Hyperparameter Tuning Library for Keras
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
Image Segmentation Keras
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
StellarGraph - Machine Learning on Graphs
Neural network visualization toolkit for keras
Deep learning driven jazz generation using Keras & Theano!
Open source hardware and software platform to build a small scale self driving car.
Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
Sandbox for training deep learning networks
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.
Implementation of BERT that could load official pre-trained models for feature extraction and prediction
Graph Neural Networks with Keras and Tensorflow 2.
A small course on exploiting and defending neural networks
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
Practical Machine Learning With Python
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.
Algorithms for explaining machine learning models
CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras
Implementation of EfficientNet model. Keras and TensorFlow Keras.
Use supervised learning to illuminate the latent space of GAN for controlled generation and edit
Deep Learning tutorials in jupyter notebooks.
Deep neural network to extract intelligent information from invoice documents.
View model summaries in PyTorch!
The Python Code Tutorials
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Provide an input CSV and a target field to predict, generate a model + code to run it.
A Keras port of Single Shot MultiBox Detector
Distributed Deep learning with Keras & Spark
Hyperparameter Optimization for TensorFlow, Keras and PyTorch
Keras Temporal Convolutional Network.
Advanced Deep Learning With Keras
Advanced Deep Learning with Keras, published by Packt
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
Various ipython notebooks
Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.
Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow
General code to convert a trained keras model into an inference tensorflow model
Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-s
[UNMAINTAINED] Automated machine learning for analytics & production
Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.
The collection of pre-trained, state-of-the-art AI models for ailia SDK
MLBox is a powerful Automated Machine Learning python library.
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
Face Mask Detection
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
Machine Learning Experiments
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
Twitter Sentiment Analysis
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
make ASCII Art by Deep Learning
EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow
中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastTex RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
Image Quality Assessment
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
Residual networks implementation using Keras-1.0 functional API
This is now the official location of the Merlin project.
Live training loss plot in Jupyter Notebook for Keras, PyTorch and others
CakeChat: Emotional Generative Dialog System
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