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🚀 Beautiful highly customizable statusline for Claude Code CLI with powerline support, themes, and more.
[ICLR 2026] A framework to "create benchmarks" and "evaluate AI co-scientists" in experimental data-driven real-world scientific research.
Turn any agent into a life science expert with NVIDIA BioNeMo skills.
Clone of DeepSeek Thinking-with-Visual-Primitives
Skills for Real Engineers. Straight from my .agents directory.
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 170,000+ scientists worldwide. 158 ready-to-use skills plus 100+ scientific databases covering biology, chem…
Skill package for ML/CV/NLP paper writing, curated and adapted from Prof. Peng Sida's open notes for Codex, Claude Code, and Gemini.
An agentic skills framework & software development methodology that works.
Terminal-Bench Science: Evaluating AI Agents on Complex Real-World Scientific Workflows in the Terminal
My AI Stand. Realtime by day, rewriting itself by night. Summon my AI superpower.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while control…
Code for ICLR2026 paper Adaptive Data-Knowledge Alignment in Genetic Perturbation Prediction.
Hydra is a framework for elegantly configuring complex applications
The most comprehensive toolkit for Claude Code -- 135 agents, 35 curated skills, 42 commands, 176+ plugins, 20 hooks, 15 rules, 7 templates, 14 MCP configs, 26 companion apps, 52 ecosystem entries,…
A small guide and helper to help non-technical people to deploy local LLM on EBI's HPC.
Repo for the Claude Code Marketplace to use with the Claude for Life Sciences Launch. This will continue to host the marketplace.json long-term, but not the actual MCP servers.
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
Backend library for benchmarking LLMs through templates
DSPy: The framework for programming—not prompting—language models
A lightweight, powerful framework for multi-agent workflows
Acceptance rates for the major AI conferences
Processed / Cleaned Data for Paper Copilot
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.