Lists (10)
Stars
AssetOpsBench - Industry 4.0: A unified benchmark and framework for building, orchestrating, and evaluating domain-specific AI agents for Industry 4.0 asset operations and maintenance, with 460+ sc…
Important math books for university and beginner students
Reverse engineering NVIDIA SASS instruction dictionary, kernel audits and pattern recognition across GPU architectures.
Library for reducing tail latency in RAM reads
from vibe coding to agentic engineering - practice makes claude perfect
Intraday pairs trading engine using Kalman Filters for dynamic beta estimation and Avellaneda-Stoikov optimal execution.
Beginner, advanced, expert level Rust training material
GitNexus: The Zero-Server Code Intelligence Engine - GitNexus is a client-side knowledge graph creator that runs entirely in your browser. Drop in a GitHub repo or ZIP file, and get an interactive …
Write normal code and get step-by-step visualizations of popular data structures
Reflex - The instant, code-aware local search engine.
Recursive Language Models Gateway build using rlm https://arxiv.org/abs/2512.24601v1
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static bin…
Hydra is a framework for elegantly configuring complex applications
An MLIR-based compiler that takes GPU kernels and compiles them to real hardware instructions. Interactive web visualizer included.
Rust-powered API framework for Django achieving 60k+ RPS. Uses Actix Web for HTTP, PyO3 for Python bridging, msgspec for serialization. Decorator-based routing with built-in auth and middleware.
A collection of resources on wait-free and lock-free programming
A type-safe, header-only generic vector library for C11 using X-Macros.
It is said that, Ilya Sutskever gave John Carmack this reading list of ~ 30 research papers on deep learning.
🍒 cuRBLAS (Randomized BLAS) is a GPU-accelerated library for accelerating AI and HPC applications.
Anthropic's Interactive Prompt Engineering Tutorial
Simulation platform for general-purpose robotics & embodied AI learning.
csp is a high performance reactive stream processing library, written in C++ and Python
The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.
PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
FastAPI Best Practices and Conventions we used at our startup