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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

dsp_lab

Digital Signal Processing Lab Summer Semester 2015/2016 at TU Darmstadt

ekf

Extended Kalman Filter

foundations-of-robotics

Learn fundamental knowledge in robotics

intuitivephysics

To learn the intuitive physics from videos by using Deep Learning Neural Networks

k-vim

vim配置

mamba-minimal

Simple, minimal implementation of Mamba in one file of PyTorch.

minimalrl

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

mnist-docker

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

ng-video-lecture

nvim

pybind11_catkin

Catkin wrapper for pybind11

rl_prototype

rsl_rl

Fast and simple implementation of RL algorithms, designed to run fully on GPU.

self-paced-rl

Implementation of the Self Paced Reinforcement Learning Experiments

sphinx_template

symforce

Fast symbolic computation, code generation, and nonlinear optimization for robotics

tiny-differentiable-simulator

Tiny Differentiable Simulator is a header-only C++ and CUDA physics library for reinforcement learning and robotics with zero dependencies.

torchrl

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

underactuated

The course text for MIT 6.832 (and 6.832x on edX)

vim

vim-plug

:hibiscus: Minimalist Vim Plugin Manager

yaml-loader

Deprecated; use messageformat-loader instead

yun-long.github.io