Popular GitHub Repositories for Sim Racing

A flexible, high-performance 3D simulator for Embodied AI research.

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

similarity: Text similarity calculation Toolkit for Java. 文本相似度计算工具包，java编写，可用于文本相似度计算、情感分析等任务，开箱即用。

Sim-to-real RL training and deployment tools for the Unitree Go1 robot.

Gibson Environments: Real-World Perception for Embodied Agents

[IEEE RA-L'25] NavRL: Learning Safe Flight in Dynamic Environments (NVIDIA Isaac/Python/ROS1/ROS2)

Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024)

3D-printed open-source humanoid robot platform for sim-to-real and RL

自然语言处理工具Macropodus，基于Albert+BiLSTM+CRF深度学习网络架构，中文分词，词性标注，命名实体识别，新词发现，关键词，文本摘要，文本相似度，科学计算器，中文数字阿拉伯数字(罗马数字)转换，中文繁简转换，拼音转换。tookit(tool) of NLP，CWS(chinese word segnment)，POS(Part-Of-Speech Tagging)，NER(name entity recognition)，Find(new words discovery)，Keyword(keyword extraction)，Summarize(text summarization)，Sim(text similarity)，Calculate(scientific calculator)，Chi2num(chinese number to arabic number)

? The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation

Deep Reinforcement Learning for Robotic Grasping from Octrees

VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

[RSS 2024]: Expressive Whole-Body Control for Humanoid Robots

Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.

[NeurIPS 2022] ?WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents

Drone Racing @ NeurIPS 2019, built on Microsoft AirSim

A virtual AI-based pit crew for Sim Racing. Use the latest GPT technology to create a real life like experience when out on the track.

K-Sim Gym: Making robots useful with RL. Built on top of K-Sim.