PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

Code for FOCAL Paper Published at ICLR 2021

Google Research

Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyp…

Domain-Robust Visual Imitation Learning with Mutual Information Constraints code

Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting

Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICLR 2020 (https://openreview.net/forum?id=r1lL4a4tDB)

Folder / directory structure options and naming conventions for software projects

Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]

Code for MOPO: Model-based Offline Policy Optimization

code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

Bayesian Meta Sampling for Fast Uncertainty Adaptation

Prioritized Experience Replay (PER) implementation in PyTorch

About making use of Linux well

Pytorch Adversarial Auto Encoder (AAE)

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)