jaybutera/tetrisRL
A Tetris environment to train machine learning agents
GitHub repository with 75 stars and 19 forks.
Language: Python
Topics: reinforcement-learning, machine-learning, game, supervised-learning
A Tetris environment to train machine learning agents
GitHub repository with 75 stars and 19 forks.
Language: Python
Topics: reinforcement-learning, machine-learning, game, supervised-learning
Trending score 0.00, activity score 0.00, stars gained +0, forks gained +0.
2026-06-05: 75 stars and 19 forks.
Learn it. Build it. Ship it for others.
GitHub repository with 28,622 stars and 4,680 forks.
Trending score: 5.32; stars gained: +1,261; forks gained: +238.
Language: Python
Topics: agents, ai, ai-agents, ai-engineering, computer-vision, course
Evaluate and improve models and agents using environments
GitHub repository with 960 stars and 170 forks.
Trending score: 2.41; stars gained: +16; forks gained: +5.
Language: Python
Topics: reinforcement-learning, reinforcement-learning-environments, rl-environment, rl-training, gym, agents
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
GitHub repository with 42,779 stars and 7,642 forks.
Trending score: 2.37; stars gained: +15; forks gained: +13.
Language: Python
Topics: ray, distributed, parallel, machine-learning, reinforcement-learning, deep-learning
SGLang is a high-performance serving framework for large language models and multimodal models.
GitHub repository with 28,859 stars and 6,348 forks.
Trending score: 1.72; stars gained: -55; forks gained: +18.
Language: Python
Topics: attention, blackwell, cuda, deepseek, diffusion, glm
Reinforcement learning framework for tool-augmented multi-answer question answering with step-wise peer advantage and diversity-aware exploration rewards.
GitHub repository with 38 stars and 3 forks.
Trending score: 1.30; stars gained: +18; forks gained: +1.
Language: Python
Topics: agent, reinforcement-learning
A unified framework for easy reinforcement learning in Flow-Matching models
GitHub repository with 557 stars and 42 forks.
Trending score: 1.17; stars gained: +11; forks gained: +0.
Language: Python
Topics: diffusion, flow-matching, image-generation, reinforcement-learning, video-generation
The agent that grows with you
GitHub repository with 181,912 stars and 31,215 forks.
Trending score: 5.95; stars gained: +1,867; forks gained: +361.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
GitHub repository with 13,768 stars and 870 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, compression, context-engineering, context-window
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 27,484 stars and 2,256 forks.
Trending score: 5.52; stars gained: +1,079; forks gained: +89.
Language: Python
Topics: academic-pipeline, academic-writing, ai-research, claude, claude-code, literature-review
Learn it. Build it. Ship it for others.
GitHub repository with 28,622 stars and 4,680 forks.
Trending score: 5.32; stars gained: +1,261; forks gained: +238.
Language: Python
Topics: agents, ai, ai-agents, ai-engineering, computer-vision, course
GitHub repository with 30,060 stars and 4,235 forks.
Trending score: 4.88; stars gained: +688; forks gained: +114.
Language: Python
An opinionated list of Python frameworks, libraries, tools, and resources
GitHub repository with 301,396 stars and 28,042 forks.
Trending score: 4.60; stars gained: +518; forks gained: +24.
Language: Python
Topics: awesome, python, collections, python-frameworks, python-libraries, python-tools
Learn it. Build it. Ship it for others.
GitHub repository with 28,622 stars and 4,680 forks.
Trending score: 5.32; stars gained: +1,261; forks gained: +238.
Language: Python
Topics: agents, ai, ai-agents, ai-engineering, computer-vision, course
MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research · 浏览器里运行的安卓模拟器 · Browser-hosted Android Simulator · Verifiable Evaluation · Scalable Online RL Training
GitHub repository with 520 stars and 82 forks.
Trending score: 3.00; stars gained: +33; forks gained: +4.
Language: TypeScript
Topics: agent, agents, ai, android, automation, benchmark
Evaluate and improve models and agents using environments
GitHub repository with 960 stars and 170 forks.
Trending score: 2.41; stars gained: +16; forks gained: +5.
Language: Python
Topics: reinforcement-learning, reinforcement-learning-environments, rl-environment, rl-training, gym, agents
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
GitHub repository with 42,779 stars and 7,642 forks.
Trending score: 2.37; stars gained: +15; forks gained: +13.
Language: Python
Topics: ray, distributed, parallel, machine-learning, reinforcement-learning, deep-learning
SGLang is a high-performance serving framework for large language models and multimodal models.
GitHub repository with 28,859 stars and 6,348 forks.
Trending score: 1.72; stars gained: -55; forks gained: +18.
Language: Python
Topics: attention, blackwell, cuda, deepseek, diffusion, glm
Reinforcement learning framework for tool-augmented multi-answer question answering with step-wise peer advantage and diversity-aware exploration rewards.
GitHub repository with 38 stars and 3 forks.
Trending score: 1.30; stars gained: +18; forks gained: +1.
Language: Python
Topics: agent, reinforcement-learning