Machine Learning List
A list of interesting machine learning Github repositories.
- OpenAI Gym - A toolkit for developing and comparing reinforcement learning algorithms.
- CycleGAN and pix2pix in PyTorch - Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more),
- Soft Q-Learning - Reinforcement Learning with Deep Energy-Based Policies.
- Finch - Deep Learning Models zhedongzheng have Implemented (mainly tensorflow, sometimes pytorch / mxnet).
- DeMoN - DeMoN: Depth and Motion Network.
- Flownet2 - FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
- pytorch-a2c-ppo-acktr - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).
- ZhuSuan - A Library for Bayesian Deep Learning, Generative Models, Based on Tensorflow.
- textvae - Theano code for experiments in the paper "A Hybrid Convolutional Variational Autoencoder for Text Generation."
- PNU - Semi-supervised classification based on positive-unlabeled classification.
- Trained image classification models for Keras - Keras code and weights files for popular deep learning models.
- mxnet-the-straight-dope - An interactive book on deep learning. Much easy, so MXNet. Wow.
- deep-learning-model-convertor - The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
- tf_texture_net - TensorFlow implementation of DmitryUlyanov/texture_nets.
- Rewrite - Neural Style Transfer For Chinese Characters.
- deepflow - This code contains the neural network implementation from the nature communication manuscript NCOMMS-16-25447A.
- tinder-scraper - A Tinder Bot for Data Scientist's 🛠️ 🔥
- fast-style-transfer-deeplearnjs - Demo of in-browser Fast Neural Style Transfer with Deeplearn.JS library.
- fashion-mnist - A MNIST-like fashion product database. Benchmark 👉
- PyAono - A Python implementation of the homomorphic encryption scheme by Yoshinori Aono et al.
- ashwinkalyan / dbs - This code implements Diverse Beam Search (DBS).
- ethanluoyc / e2c-pytorch - E2C implementation in PyTorch.
- khanhptnk / bandit-nmt - This is code repo for our EMNLP 2017 paper "Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback", which implements the A2C algorithm on top of a neural encoder-decoder model and benchmarks the combination under simulated noisy rewards.
- OpenNMT / OpenNMT - Open-Source Neural Machine Translation in Torch.
- taivop / joke-dataset - A dataset of 200k English plaintext jokes.
- abewley / sort - Simple, online, and realtime tracking of multiple objects in a video sequence.
- albanie / mcnSSD - A matconvnet implementation of the Single Shot Detector.
- Eniac-Xie / faster-rcnn-resnet - ResNet Implementation for Faster-rcnn.
- hszhao / PSPNet - Pyramid Scene Parsing Network.
- QISKit / qiskit-sdk-py - Python software development kit for writing quantum computing experiments, programs, and applications.
- 1adrianb / face-alignment - 🔥 2D and 3D Face alignment library build using pytorch.
- jinwchoi / awesome-action-recognition - A curated list of action recognition and related area resources.
- karim-ahmed / nofe-caffe - Network of Experts (NoFE) caffe implementation.
- yosinski / deep-visualization-toolbox - DeepVis Toolbox.
- lhmRyan / deep-supervised-hashing-DSH - Deep Supervised Hashing for Fast Image Retrieval,
- grahamjenson / list_of_recommender_systems - A List of Recommender Systems and Resources.
- znxlwm / pytorch-generative-model-collections - Collection of generative models in Pytorch version.
- gpleiss / efficient_densenet_pytorch - A memory-efficient implementation of DenseNets.
- facebookresearch / fairseq-py - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
- marshq / europilot - A toolkit for controlling Euro Truck Simulator 2 with python to develop self-driving algorithms.
- facebookresearch / Starspace - Learning embeddings for classification, retrieval and ranking.
- eriklindernoren / ML-From-Scratch - Python implementations of Machine Learning models and algorithms from scratch. Aims to cover everything from Data Mining techniques to Deep Learning.
- taolei87 / sru - Training RNNs as Fast as CNNs.
- RandomAdversary / Awesome-AI-Security - 📁 #AISecurity.
- allenai / allennlp - An open-source NLP research library, built on PyTorch.
- NVIDIA / DeepRecommender - Deep learning for recommender systems.
- exacity / simplified-deeplearning - Simplified implementations of deep learning related works.
- katerakelly / pytorch-maml - This is a PyTorch implementation of the supervised learning experiments from the paper Model-Agnostic Meta-Learning.
- fchollet / deep-learning-with-python-notebooks - Jupyter notebooks for the code samples of the book "Deep Learning with Python".
- hwalsuklee / tensorflow-generative-model-collections - Collection of generative models in Tensorflow.
- aymericdamien / TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners with Latest APIs.
- likedan / Awesome-CoreML-Models - Largest list of models for Core ML (for iOS 11+)
- dformoso / machine-learning-mindmap - A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
- deepmind / learning-to-learn - Learning to Learn in TensorFlow.
- deepmind / sonnet - TensorFlow-based neural network library.
- songrotek / Deep-Learning-Papers-Reading-Roadmap - Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
- chainer / chainer - A flexible framework of neural networks for deep learning.
- bioinf-jku / SNNs - Tutorials and implementations for "Self-normalizing networks".
- vahidk / EffectiveTensorflow - TensorFlow tutorials and best practices.
- josephmisiti / awesome-machine-learning - A curated list of awesome Machine Learning frameworks, libraries and software.
- wush978/KDD2015wpp - Reproduce the experiments published in "Predicting Winning Price in Real Time Bidding with Censored Data".
- wenying45/nn_text_representation - Neural networks for text representation.
- richzhang / colorization - Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
- LantaoYu / SeqGAN - Implementation of Sequence Generative Adversarial Nets with Policy Gradient.
- Atomu2014/product-nets - Product-based Neural Networks for User Response Prediction.
- han-cai / rlb-dp - Real-Time Bidding by Reinforcement Learning in Display Advertising.
- LantaoYu / MARL-Papers - Paper list of multi-agent reinforcement learning (MARL).
- PAIR-code / deeplearnjs - A hardware-accelerated deep learning library for the web.
- elena-sharova / HiddenMarkovModel - Example implementation of a discrete 1st order Hidden Markov model with test.
- ageitgey / face_recognition - The world's simplest facial recognition api for Python and the command line.
- lyst / lightfm - A Python implementation of LightFM, a hybrid recommendation algorithm.
- Mendeley / mrec - A recommender systems development and evaluation package by Mendeley.
- guoguibing / librec - LibRec: A Leading Java Library for Recommender Systems.
- quora / qmf - A fast and scalable C++ library for implicit-feedback matrix factorization models.
- benfred / implicit - Fast Python Collaborative Filtering for Implicit Datasets.
- SheffieldML / GPyOpt - Gaussian Process Optimization using GPy.
- antingshen / BeaverDam - Video annotation tool for deep learning training labels.
- facebookresearch / DrQA - Reading Wikipedia to Answer Open-Domain Questions.
- correll / Introduction-to-Autonomous-Robots - Introduction to Autonomous Robots.
- srendle / libfm - Library for factorization machines.
- OpenMined/PySyft - The goal of this library is to give the user the ability to efficiently train Deep Learning models in a homomorphically encrypted state without needing to be an expert in either.