A practical framework for AI-Assisted Research in Mathematics and Machine Learning

A collection of notes on Data Science

A curated, multilingual library of 182 installable AI agent skills for end-to-end academic research—spanning literature discovery, scientific writing, grant development, bioinformatics, drug discovery, clinical research, machine learning, and data analysis.

Experiment task scheduling made easy.

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

LLM agents as your hyperparameter optimizer.

Install, run and deploy your own decentralized AI agent service

The fastest path to AI-powered full stack observability, even for lean teams.

Learn what AI skills are and how to design, structure, and use them in real-world agent systems.

🔨 Kyoko is the all-in-one, fully local tool for debugging and improving your AI agents.

Learn AI and LLMs from scratch using free resources

An ML engineering plugin for your coding agents.

Curated list of AutoResearch use cases with optimization traces and open source implementations

The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai

🤖 AI Agent-driven Kaggle competition workflow. Battle-tested patterns for score stabilization, submission troubleshooting, kernel workflows, and spec-driven development.

MCP server for spatial transcriptomics analysis through natural language interfaces.

Claude Code, Codex, and multi-agent configuration system: principles, hooks, skills, and workflow patterns for AI-assisted development

Umbrella package for SciTeX — reproducible science from raw data to manuscript

Learn it. Build it. Ship it for others.

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.

Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.

Meet Reviewer 2 before they meet you ！ A Claude Code skill that red-teams your paper draft — a simulated peer-review panel + an evidence-grounded fix list, before you submit.

YC (S26) | Open Computer History | Record your screen continuously locally and provide context to your agents (Claude, Codex, Openclaw, Hermes, Runner...)