wangsd01

DiffCoSim

By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to enable learning of hybrid dynamics.

dl_appointment

Auto-PyTorch

Automatic architecture search and hyperparameter optimization for PyTorch

backtesting

blackbox_mpc

Sampling based Model Predictive Control package for Model-Based RL research

botorch

Bayesian optimization in PyTorch

box2d-1

Box2D is a 2D physics engine for games

bullet3

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

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DensePhysNet-Simulation

diffsim

Scalable Differentiable Physics for Learning and Control (ICML2020)

difftaichi

10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)

dm_control

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

flights_checker

五个一航班查询app

fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

guildai

Open source experiment tracking and optimization for machine learning

gym

A toolkit for developing and comparing reinforcement learning algorithms.

ignite

High-level library to help with training neural networks in PyTorch

mujoco

Multi-Joint dynamics with Contact. A general purpose physics simulator.

NTRTsim

The NASA Tensegrity Robotics Toolkit Simulator, a physics based simulator to research the design and control of tensegrity robots.

PINNs

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

pyMPC

A Model Predictive Control (MPC) Python library based on the OSQP solver.

PythonLinearNonlinearControl

PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

qiuzhi_heimingdan

ritm_interactive_segmentation

Reviving Iterative Training with Mask Guidance for Interactive Segmentation

taichi

The Taichi programming language

tianshou

An elegant, flexible, and superfast PyTorch deep reinforcement learning platform.

tiny-differentiable-simulator

Tiny Differentiable Simulator is a header-only C++ physics library with zero dependencies.

torchdiffeq

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