befreor's repositories

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domain-robust-visual-il

Domain-Robust Visual Imitation Learning with Mutual Information Constraints code

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ffjord

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

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FOCAL-ICLR

Code for FOCAL Paper Published at ICLR 2021

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Folder-Structure-Conventions

Folder / directory structure options and naming conventions for software projects

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google-research

Google Research

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LearningToCompare_FSL

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

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linux

About making use of Linux well

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meta-sampling

Bayesian Meta Sampling for Fast Uncertainty Adaptation

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moco

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

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mopo

Code for MOPO: Model-based Offline Policy Optimization

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O-RAAC

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

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oyster

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

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per

Prioritized Experience Replay (PER) implementation in PyTorch

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PLAS

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

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pytorch_aae

Pytorch Adversarial Auto Encoder (AAE)

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ray

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 hyperparameter tuning library.

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rllab

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

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SRFlow

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

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torchdiffeq

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

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Variational-Recurrent-Models

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)

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