sweetice

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

pyro

Deep universal probabilistic programming with Python and PyTorch

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

tianshou

An elegant PyTorch deep reinforcement learning library.

Machine-Learning-Session

introRL

Intro to Reinforcement Learning (强化学习纲要）

loss-landscape

Code for visualizing the loss landscape of neural nets

rlpyt

Reinforcement Learning in PyTorch

roboschool

DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.

procgen

Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments

MAAC

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

dreamer

Dream to Control: Learning Behaviors by Latent Imagination

BCQ

Author's PyTorch implementation of BCQ for continuous and discrete actions

MathsDL-spring18

Topics course Mathematics of Deep Learning, NYU, Spring 18

Stein-Variational-Gradient-Descent

code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"

probmods2

probmods 2: electric boogaloo

alf

Agent Learning Framework https://alf.readthedocs.io

self-imitation-learning

ICML 2018 Self-Imitation Learning

ODE-DL

Paper List For Linking ODE and Deep Learning

neural-processes

Pytorch implementation of Neural Processes for functions and images :fireworks:

LipNet-PyTorch

The state-of-art PyTorch implementation of the method described in the paper "LipNet: End-to-End Sentence-level Lipreading" (https://arxiv.org/abs/1611.01599)

Mine_pytorch

MINE: Mutual Information Neural Estimation in pytorch (unofficial)

BEAR

Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction

oprl

A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing

implicit-variational-inference

The collection of recent papers about variational inference

prl

Open-source library for a reinforcement learning research.

Streamlined-Off-Policy-Learning

ICRL 2020

svpg-pytorch

Simple SVPG example using Pytorch

variance-reduction-mixtures

Online Variance Reduction with Mixtures