ora-io/opml
quality grade D, 42 out of 100OPML: OPtimistic Machine Learning on Blockchain
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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Autonomous and multi-agent systems, agent frameworks, planning and tool use.
Signals: ai-agent, ai-agents, agents, autonomous-agents, agent-framework, multi-agent, multi-agent-systems, agentic
3,261 results
OPML: OPtimistic Machine Learning on Blockchain
Chrome extension for detecting phishing web sites
Android Automation Tool Based on Vision-Language Models
LoongFlow is an expert-grade Agent framework for Loop Engineering. Through a Plan-Execute-Summary loop and structured experiential memory, it enables AI to continuously think, execute, reflect, and evolve across complex software engineering, mathematical, and machine learning tasks.
A Hearthstone: Heroes of WarCraft Simulator for the purposes of Machine Learning and Data Mining
MLE-bench is a benchmark for measuring how well AI agents perform at machine learning engineering
✨ Build a machine learning model from a prompt
An agentic Machine Learning Engineer
DeepProbLog is an extension of ProbLog that integrates Probabilistic Logic Programming with deep learning by introducing the neural predicate.
A deep learning based AI bot for playing the football simulation game FIFA 18 (Windows platform)
Bridging deep learning and logical reasoning using a differentiable satisfiability solver.
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 simple neural network for python autocompletion
PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.
A Trusted Human-Multi-Agent Reinforcement Learning Interaction Framework
A simple OpenAI Gym environment for single and multi-agent reinforcement learning
Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
Repo containing code for multi-agent deep reinforcement learning (MADRL).
Awesome Game AI materials of Multi-Agent Reinforcement Learning
Hello, I pushed some python environments for Multi Agent Reinforcement Learning.
Generate a comprehensive review from an arXiv paper, then turn it into a blog post. This project powers the website below for the HuggingFace's Daily Papers (https://huggingface.co/papers).
Use AI Agents directly in Blender.
Integration for the OpenAI Api in Unreal Engine
24,524 repositories in the index in total.