Stochastic Automatic Differentiation library for PyTorch.
GPL-3.0 License
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across t...
Kaggle Humpback whale identification: 2xGPU Data augmentation + FP16 mixed precision training
Awesome-pytorch-list 翻译工作进行中......
Model interpretability and understanding for PyTorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relat...
Modularized Implementation of Deep RL Algorithms in PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
The easiest way to use deep metric learning in your application. Modular, flexible, and extensibl...
A standard framework for modelling Deep Learning Models for tabular data
Network-to-Network Translation with Conditional Invertible Neural Networks
Bayesian optimization in PyTorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Constrained optimization toolkit for PyTorch