dblanm

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

awesome-rl

Reinforcement learning resources curated

autograd

Efficiently computes derivatives of numpy code.

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

BlenderProc

A procedural Blender pipeline for photorealistic training image generation

sofa

Real-time multi-physics simulation with an emphasis on medical simulation.

mbbl

sympy.github.com

SymPy's web page (sympy.org)

pyphysx

Python Wrapper for Nvidia PhysX simulator.

convgp

Convolutional Gaussian processes based on GPflow.

kalman-jax

Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX

DifferentiableCloth

dedo

Dynamic Environments with Deformable Objects (DEDO)

EDeN

Explicit Decomposition with Neighborhoods python version

gym-cloth

Code for IROS 2020 paper: https://arxiv.org/abs/1910.04854

dextairity

[RSS 2022, Best System Paper Finalist] DextAIRity: Deformable Manipulation Can be a Breeze

dgplib

Library for Deep Gaussian Processes based on GPflow

mbbl-pilco

Implementation of PILCO for the Model-Based Baselines Project

Reinforcement-Learning-Papers-Notes

Notes on many interesting RL papers

differentiable-cloth-folding

Cloth Folding Through Differentiable Physcis Simulation

DGP-Graph

Codes for paper "Stochastic Deep Gaussian Processes over Graphs"

Conjuncitve_Disjunctive_Kernel

This is the test repository in github

Deepwl

Diffusion-based-Gaussian-Process

gym

A toolkit for developing and comparing reinforcement learning algorithms.