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Lists (12)
Starred repositories
Make websites accessible for AI agents
This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-e…
Detect (classify and localize) people, pets and objects using millimeter-wave radar.
🐢 A collection of awesome browser-side JavaScript libraries, resources and shiny things.
Client did not pay? Add opacity to the body tag and decrease it every day until their site completely fades away
A collection of multi agent environments based on OpenAI gym.
Visualization of all roads within any city
🏝️ OASIS: Open Agent Social Interaction Simulations with One Million Agents. https://oasis.camel-ai.org
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.
A self-hostable bookmark-everything app (links, notes and images) with AI-based automatic tagging and full text search
macOS menu bar app that shows how full the International Space Station's urine tank is in real time
Newtonian n-body gravity simulator
An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments
Implementation of Evolutionary Strategies with Multi-Agent Deep Reinforcement Learning in PettingZoo Environments 🦘
Web app for simulating the collective movement of fish schools
👾 JS library for simple biological simulations and cellular automata
This is a simulation of sunfllowers evolution given certain evniormental conditions, it is simulated via a genetic algorthim using a loss/fitness function, corssing over and other biological mechan…
Minimal and Clean Reinforcement Learning Examples
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Python Backtesting library for trading strategies
A sandbox game/simulator that demonstrates machine learning with evolutionary algorithms.
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
