Stars
A curated list of awesome resources on AI Scientists based on our survey "A Comprehensive Survey of AI Scientists".
This is a survey of research on AI scientists, AI researchers, AI engineers, and a series of AI-driven research studies
TradingAgents: Multi-Agents LLM Financial Trading Framework
A beautiful, simple, clean, and responsive Jekyll theme for academics
LLM-powered paper trading system with Claude for macro ETF allocation and tamper-evident trade ledger
A virtual lab of LLM agents for science research
A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.
🦞 Just talk to your agent — it learns and EVOLVES 🧬.
토스증권을 AI 에이전트와 터미널에서 다루는 도구. CLI 와 MCP 서버로 계좌·시세·주문은 물론 웹앱 전용 기능(수급·AI 시그널·스크리너·배당)까지, JSON·CSV 구조화 출력으로 AI 도구·자동화에 바로 연동.
Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA
Fully autonomous & self-evolving research from idea to paper. Chat an Idea. Get a Paper. 🦞
AIDE: AI-Driven Exploration in the Space of Code. The machine Learning engineering agent that automates AI R&D.
AI agents running research on single-GPU nanochat training automatically
Kosmos: An AI Scientist for Autonomous Discovery - An implementation and adaptation to be driven by Claude Code or API - Based on the Kosmos AI Paper - https://arxiv.org/abs/2511.02824
Comparison-based Active Preference Learning for Multi-dimensional Personalization
[ACL 2025] Official implementation of "Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language Models"
[ICCV 2025] Official implementation of "Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning"
A PowerPoint add-in to insert LaTeX equations into PowerPoint presentations on Windows and Mac
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023
Using LLMs for efficient communication of explainers.
OmniXAI: A Library for eXplainable AI
TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!
Code for paper: Are Large Language Models Post Hoc Explainers?