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An Open Source Machine Learning Framework for Everyone
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Deep Learning for humans
Deepfakes Software For All
DeepFaceLab is the leading software for creating deepfakes.
💫 Industrial-strength Natural Language Processing (NLP) in Python
PyTorch Tutorial for Deep Learning Researchers
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.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Ai Expert Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
Visualizer for neural network, deep learning, and machine learning models
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Awesome Deep Learning
A curated list of awesome Deep Learning tutorials, projects and communities.
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
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、分布式训练和跨平台部署）
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Open standard for machine learning interoperability
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
Face recognition with deep neural networks.
Neural Networks And Deep Learning
Code samples for my book "Neural Networks and Deep Learning"
Awesome Pytorch List
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.
Machine Learning Tutorials
machine learning and deep learning tutorials, articles and other resources
Play with neural networks!
Mit Deep Learning Book Pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Fast Style Transfer
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
TensorFlow-based neural network library
Deep learning library featuring a higher-level API for TensorFlow.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
The Incredible Pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Mit Deep Learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Minimal and clean examples of machine learning algorithms implementations
Data-centric declarative deep learning framework
Keras implementations of Generative Adversarial Networks.
TensorFlow tutorials and best practices.
TensorFlow Tutorials with YouTube Videos
Differentiable Computer Vision Library
The next-generation platform to monitor and optimize your AI costs in one place 🚀
Awesome Artificial Intelligence
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
NeMo: a toolkit for conversational AI
A customisable 3D platform for agent-based AI research
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎）
Pytorch Deep Learning
Deep Learning (with PyTorch)
Learning Convolutional Neural Networks with Interactive Visualization.
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Friendly machine learning for the web! 🤖
A flexible, high-performance serving system for machine learning models
A flexible framework of neural networks for deep learning
header only, dependency-free deep learning framework in C++14
Tensorflow 2.x Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
Gluon CV Toolkit
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Deep Reinforcement Learning for Keras.
A general-purpose encoder-decoder framework for Tensorflow
Build Graph Nets in Tensorflow
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
Image augmentation library in Python for machine learning.
Gorgonia is a library that helps facilitate machine learning in Go.
Learn Data Science For Free
This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in Twitter.
Deep Learning V2 Pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanod
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Run Keras models in the browser, with GPU support using WebGL
A C++ standalone library for machine learning
🌸 Run 100B+ language models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
🌎 Simple and ready-to-use tutorials for TensorFlow
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Deep Reinforcement Learning
Repo for the Deep Reinforcement Learning Nanodegree program
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）
Stanford Cs 230 Deep Learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
Summaries and notes on Deep Learning research papers
Graph Based Deep Learning Literature
links to conference publications in graph-based deep learning
Relax! Flux is the ML library that doesn't make you tensor
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Learning To Learn
Learning to Learn in TensorFlow
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Probabilistic reasoning and statistical analysis in TensorFlow
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
Repo for the Deep Learning Nanodegree Foundations program.
Publication-ready NN-architecture schematics.
Facilitating the design, comparison and sharing of deep text matching models.
A PyTorch Library for Accelerating 3D Deep Learning Research
Probabilistic time series modeling in Python
Tensorflow Project Template
A best practice for tensorflow project template architecture.
[ICCV 2019] Monocular depth estimation from a single image
Python2 Deep Learning (21,357)
Python3 Deep Learning (21,357)
Python Deep Learning (13,092)
Jupyter Deep Learning (10,328)
Ml Deep Learning (8,437)
Python Neural Network (7,064)
Jupyter Notebook Deep Learning (6,566)
Deep Learning Pytorch (6,131)
Deep Learning Tensorflow (4,441)
Deep Learning Neural (3,768)
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