#ai4science (15 Repositories)
Ranked open-source repositories tagged with #ai4science, scored by pull request acceptance likelihood and maintainer engagement velocity.
58.9%
35.0h
15 repositories tagged #ai4science
xuzhougeng/wisp-science
Open-source, local-first desktop AI research workbench for scientific computing with Python/R, MCP bioinformatics tools, SSH/WSL/GPU runtimes, and OpenAI/Anthropic models.
NoKV-Lab/NoKV
The State Layer of Agent Sandbox
EvoScientist/EvoScientist
🔬 Harness Vibe Research with Self-evolving AI Scientists
PKU-YuanGroup/OpenAI4S
Open-source AI agent for scientific research. Analyze data in Python/R with Claude, GPT, Gemini, and more.
harbor-framework/terminal-bench-science
Terminal-Bench-Science: Evaluating AI agents on research workflows across scientific domains
PaddlePaddle/PaddleMaterials
Open-source AI infrastructure for materials science.
IntelliGen-AI/IntelliFold
IntelliFold: A Controllable Foundation Model for General and Specialized Biomolecular Structure Prediction.
pzqpzq/Principia
Principia extracts reusable principles, composes those principles into traceable research ideas, and helps researchers inspect why an idea may be worth testing.
PaddlePaddle/PaddleOCR
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
Future-House/aviary
A language agent gym with challenging scientific tasks
Omni-Scientist/Awesome-AI-Scientist
🧪 Awesome list of AI Scientist papers, systems, benchmarks, datasets and open-source platforms.
ai4s-research/awesome-ai-for-science
A curated list of awesome AI tools, libraries, papers, datasets, and frameworks that accelerate scientific discovery — from physics and chemistry to biology, materials, and beyond.
Tencent-Hunyuan/Hyra-results
Research artifacts from Hyra (/ˈhaɪ.rɑː/)
EvoScientist/EvoSkills
🧬 Extend EvoScientist with Installable Skill & Knowledge Packs
InternScience/GraphGen
GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation