To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

Fast and Accurate ML in 3 Lines of Code

A game theoretic approach to explain the output of any machine learning model.

An open source implementation of CLIP.

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

A list of all named GANs!

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

Easy to maintain open source documentation websites.

book

List of Computer Science courses with video lectures.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Exploratory, Inferential and Predictive data analysis. Feel free to show your ❤️ by giving a star ⭐

Dive into Deep Learning Compiler

all kinds of text classification models and more with deep learning

Implementation of Mogrifier LSTM in PyTorch

A framework for Privacy Preserving Machine Learning

Faceswap with Pytorch or DeepFake with Pytorch

A fast, simple & powerful blog framework, powered by Node.js.

Speech Recognition using DeepSpeech2.

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 a…

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translatio…

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

A challenge to explore adversarial robustness of neural networks on CIFAR10.

A challenge to explore adversarial robustness of neural networks on MNIST.

Circumventing the defense in "Ensemble Adversarial Training: Attacks and Defenses"

Models and examples built with TensorFlow