gilad-rubin/hypster
HyPSTER - Configuration Framework for Optimizing AI & AI Systems
GitHub repository with 59 stars and 2 forks.
Language: Python
Topics: hyperparameter-optimization, auto-ml, machine-learning, generative-ai
HyPSTER - Configuration Framework for Optimizing AI & AI Systems
GitHub repository with 59 stars and 2 forks.
Language: Python
Topics: hyperparameter-optimization, auto-ml, machine-learning, generative-ai
Trending score 0.05, activity score 0.05, stars gained not enough history, forks gained not enough history.
2026-06-05: 59 stars and 2 forks.
Fast and Accurate ML in 3 Lines of Code
GitHub repository with 10,450 stars and 1,158 forks.
Trending score: 1.01; stars gained: +10; forks gained: +2.
Language: Python
Topics: autogluon, automated-machine-learning, automl, computer-vision, data-science, deep-learning
Can LLMs beat classical HPO? A benchmark comparing classical, LLM-based, and hybrid methods on Karpathy's autoresearch.
GitHub repository with 38 stars and 4 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: automl, autoresearch, benchmark, cma-es, hyperparameter-optimization, llambo
HyPSTER - Configuration Framework for Optimizing AI & AI Systems
GitHub repository with 59 stars and 2 forks.
Trending score: 0.05.
Language: Python
Topics: hyperparameter-optimization, auto-ml, machine-learning, generative-ai
The agent that grows with you
GitHub repository with 182,513 stars and 31,295 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 14,053 stars and 885 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 27,616 stars and 2,272 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 28,711 stars and 4,695 forks.
Trending score: 5.32; stars gained: +1,261; forks gained: +238.
Language: Python
Topics: agents, ai, ai-agents, ai-engineering, computer-vision, course
An opinionated list of Python frameworks, libraries, tools, and resources
GitHub repository with 301,435 stars and 28,046 forks.
Trending score: 4.60; stars gained: +518; forks gained: +24.
Language: Python
Topics: awesome, collections, python, python-frameworks, python-libraries, python-tools
Use claude-code for free in the terminal, VSCode extension or discord like OpenClaw (voice supported)
GitHub repository with 32,540 stars and 4,942 forks.
Trending score: 4.56; stars gained: +467; forks gained: +82.
Language: Python
Fast and Accurate ML in 3 Lines of Code
GitHub repository with 10,450 stars and 1,158 forks.
Trending score: 1.01; stars gained: +10; forks gained: +2.
Language: Python
Topics: autogluon, automated-machine-learning, automl, computer-vision, data-science, deep-learning
Can LLMs beat classical HPO? A benchmark comparing classical, LLM-based, and hybrid methods on Karpathy's autoresearch.
GitHub repository with 38 stars and 4 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: automl, autoresearch, benchmark, cma-es, hyperparameter-optimization, llambo
Open Source AI Infra & Engineering Control Plane
GitHub repository with 3,706 stars and 325 forks.
Trending score: 0.03; stars gained: +0; forks gained: +0.
Topics: agents, artificial-intelligence, data-science, deep-learning, harness, hyperparameter-optimization
HyPSTER - Configuration Framework for Optimizing AI & AI Systems
GitHub repository with 59 stars and 2 forks.
Trending score: 0.05.
Language: Python
Topics: hyperparameter-optimization, auto-ml, machine-learning, generative-ai