sweetice/Deep-reinforcement-learning-with-pytorch

Deep learning operations reinvented (for pytorch, tensorflow, chainer, gluon and others)

HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP

Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Google AI 2018 BERT pytorch implementation

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

A PyTorch implementation of the architecture of Mask RCNN

Geometric Deep Learning Extension Library for PyTorch