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FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
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.
The Self-hosted AI Starter Kit is an open-source template that quickly sets up a local AI environment. Curated by n8n, it provides essential tools for creating secure, self-hosted AI workflows.
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
StarCraft II Learning Environment
Remove backgrounds from images directly in the browser environment with ease and no additional costs or privacy concerns. Explore an interactive demo.
PyTorch implementations of deep reinforcement learning algorithms and environments
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.
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
A collection of environments for autonomous driving and tactical decision-making tasks
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Isaac Gym Environments for Legged Robots
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
RL training environments for Microduck (mjlab)
An interface library for RL post training with environments.
A unified framework for privacy-preserving data analysis and machine learning
Simple and easily configurable grid world environments for reinforcement learning
A simple framework that allows researchers and hobbyists to develop AI agents for Atari 2600 games
Run, compile and execute JavaScript for Scientific Computing and Data Visualization TOTALLY TOTALLY TOTALLY in your BROWSER! An open source scientific computing environment for JavaScript TOTALLY in your browser, matrix operations with GPU acceleration, TeX support, data visualization and symbolic computation.
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
Apache Mahout - an environment for quickly creating scalable, performant machine learning applications.
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control