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🌱 A little course on Reinforcement Learning Environments for evaluating and training Language Models
SGLang is a high-performance serving framework for large language models and multimodal models.
A Paper collection for LLM based Patient Simulators
PaperBanana: Automating Academic Illustration For AI Scientists
[ICLR 2025] ACES: Automatic Cohort Extraction System for Event-Streams
Schema definitions and Python types for Medical Event Data Standard, a standard for medical event data such as EHR and claims data
A machine learning primer built from first principles. For engineers who want to reason about ML systems the way they reason about software systems.
Turn paper/text/topic into editable research figures, technical route diagrams, and presentation slides.
Native web workspace for Hermes Agent — chat, terminal, memory, skills, inspector.
AI agent toolkit: coding agent CLI, unified LLM API, TUI & web UI libraries, Slack bot, vLLM pods
Memory library for building stateful agents
Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM
Meta-Reinforcement Learning with Self-Reflection
Agent skills for Obsidian. Teach your agent to use Markdown, Bases, JSON Canvas, and use the CLI.
Hypernetworks that update LLMs to remember factual information
Hundreds of models & providers. One command to find what runs on your hardware.
"CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub: https://clianything.cc/
The largest open-source medical AI skills library for OpenClaw🦞.
🦞 Just talk to your agent — it learns and EVOLVES 🧬.
The AI-Q NVIDIA Blueprint is an open reference example for building intelligent AI agents that connect to your enterprise data, reason using state-of-the-art models, and deliver trusted business in…
🦖 ClawBio — The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Built on OpenClaw.
Semantic grep powered by Jina embeddings v5 (MLX on Apple Silicon)
Apple Silicon (MLX) port of Karpathy's autoresearch — autonomous AI research loops on Mac, no PyTorch required.