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Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing…
Tmux on Windows Powershell - tmux for PowerShell, Windows Terminal, cmd.exe. Includes psmux, pmux, and tmux commands. This is native High-Performance Tmux designed for Windows in Rust 🦀
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
Achieve state of the art inference performance with modern accelerators on Kubernetes
Manage multiple AI terminal agents like Claude Code, Codex, OpenCode, and Amp.
TPU inference for vLLM, with unified JAX and PyTorch support.
A PyTorch native platform for training generative AI models
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
A benchmark for LLMs on complicated tasks in the terminal
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
A live stream development of RL tunning for LLM agents
Tools for concurrent programming in Rust
Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint
SGLang is a high-performance serving framework for large language models and multimodal models.
My learning notes for ML SYS.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Ongoing research training transformer models at scale
Train transformer language models with reinforcement learning.