Popular GitHub Repositories for Traffic Simulation

Generating Robotic Simulation Tasks via Large Language Models

? AgentVerse ? is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation

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

An open source quadruped robot pet framework for developing Boston Dynamics-style four-legged robots that are perfect for STEM, coding & robotics education, IoT robotics applications, AI-enhanced robotics application services, research, and DIY robotics kit development.

[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving

Massively parallel rigidbody physics simulation on accelerator hardware.

Scenarios, tutorials and demos for Autonomous Driving

Graphormer is a general-purpose deep learning backbone for molecular modeling.

Fully functional Pokerbot that works on PartyPoker, PokerStars and GGPoker, scraping tables with Open-CV (adaptable via gui) or neural network and making decisions based on a genetic algorithm and montecarlo simulation for poker equity calculation. Binaries can be downloaded with this link:

A Burp Suite extension that integrates OpenAI's GPT to perform an additional passive scan for discovering highly bespoke vulnerabilities and enables running traffic-based analysis of any type.

Resources on the topic of digital morphogenesis (creating form with code). Includes links to major articles, code repos, creative projects, books, software, and more.

Community for applying LLMs to robotics and a robot simulator with ChatGPT integration

UnrealCV: Connecting Computer Vision to Unreal Engine

SAPIEN Manipulation Skill Framework, an open source GPU parallelized robotics simulator and benchmark, led by Hillbot, Inc.

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

GPTeam: An open-source multi-agent simulation

[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals

Simulation of spiking neural networks (SNNs) using PyTorch.

A selection of state-of-the-art research materials on trajectory prediction

A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.