Popular GitHub Repositories for Dynamic Simulation Environments

Tensors and Dynamic neural networks in Python with strong GPU acceleration

ComfyUI docker images for use in GPU cloud and local environments. Includes AI-Dock base for authentication and improved user experience.

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

Generating Robotic Simulation Tasks via Large Language Models

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

Convert ebooks to audiobooks with chapters and metadata using dynamic AI models and voice cloning. Supports 1,107+ languages!

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

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

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

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.

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.

Open source data anonymization and synthetic data platform for developers. Anonymize your production data and sync it across your environments so that developers can safely use it.

A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

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

Simplifying reinforcement learning for complex game environments

AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

The machine learning toolkit for time series analysis in Python

[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering