⛰ Reinforcement learning model trying to make car reach to top of mountain

마음가짐 웹 서비스

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.

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

Self hosted FLOSS fitness/workout, nutrition and weight tracker

A cross platform app for tracking your lifts in the gym

A lightweight, easy-to-use, web-based Gym Progress Tracker 🏋️

Simple and easily configurable grid world environments for reinforcement learning

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios

Simple Gridworld Gymnasium Environment

AI-FitnessTrainer using YOLOv8-pose

Introducing a comprehensive Gym Management System crafted with Java programming language. Meticulously developed through thorough UI/UX research, it offers complete functionality for efficient gym management.

Shows the number of people at the RWTH Gym over time

ReactJS-based solution that enables users to effortlessly search and explore a diverse range of exercises with detailed individual views for each one.

Occupancy tracker script and website for The Cliffs climbing and fitness gyms (DUMBO, Gowanus, Harlem, LIC, Valhalla, and Callowhill).

🏋️‍♂️ "Gym Website Frontend" 💪 Explore our sleek and responsive frontend for a gym website! 💻 Features include membership options 💳, class schedules 📅, and trainer profiles 🏋️‍♀️. Join us online and kickstart your fitness journey! 🚀

PWA to replace my gym notebook

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

App for Gym Training

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.