Learn and Master Node.js. V8, libuv, event loop, buffers, streams, async internals, performance, security, deployment, and production architecture.

A modern C standard library

A contact solver for physics-based simulations involving 👚 shells, 🪵 solids and 🪢 rods.

Lightweight 3d physics engine for javascript

DeepSeek 4 Flash and PRO local inference engine for Metal, CUDA and ROCm

Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-rep…

Become a cracked AI/ML Research Engineer

Website for Dynamic Programming TextBook

🌱Light and powerful C++ web framework for highly scalable and resource-efficient web application. It's zero-dependency and easy-portable.

Optimizing diffusion for production-ready speeds

Flash Attention in ~100 lines of CUDA (forward pass only)

Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch

Machine Learning Engineering Open Book

Dive into CPython internals, trying to illustrate every detail of CPython implementation

Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.

CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. The authors introduce each area of CUDA development through w…

Python bindings for llama.cpp

Minimal Claude Code alternative. Single Python file, zero dependencies, ~250 lines.

A fast communication-overlapping library for tensor/expert parallelism on GPUs.

mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local

GLake: optimizing GPU memory management and IO transmission.

Bilibili东川路第一可爱猫猫虫的AI笔记

This repo contains my solutions to “Introduction to Machine Learning Interviews” by Chip Huyen.

Position Based Fluids CUDA implementation

Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1

A hardware-aware guide to data structures for system software engineers.

Native and Compact Structured Latents for 3D Generation

Experimental CUDA kernel framework unifying typed dimensions, NVRTC JIT specialization, and ML‑guided tuning.

This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, s…