Highlights
- Pro
Stars
A machine learning accelerator core designed for energy-efficient AI at the edge.
A menagerie of cute implementations of modern typechecking algorithms
Introduction to Machine Learning Systems
UCCL is an efficient communication library for GPUs, covering collectives, P2P (e.g., KV cache transfer, RL weight transfer), and EP (e.g., GPU-driven)
A controlled concurrency testing framework for the JVM
Open-source RTL logic simulator with CUDA acceleration
The "engine" of nissy, including the H48 optimal solver
A lightweight memory allocator for hardware-accelerated machine learning
Framework and Language for Neurosymbolic Programming.
Pen and paper exercises in machine learning
A toy compiler for NumPy array expressions that uses e-graphs and MLIR
graph based intermediate representation and backend for optimising compilers
Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
Vim plugin for LLM-assisted code/text completion
TensorRight: Automated Verification of Tensor Graph Rewrites
slides for the book "Principles od Abstract Interpretation", P. Cousot, MIT Press, 2021
Official inference framework for 1-bit LLMs
You like pytorch? You like micrograd? You love tinygrad! ❤️
An step by step fuzzing tutorial. A GitHub Security Lab initiative
A book-in-progress about the Linux kernel and its insides.
Rust port of Spice, a low-overhead parallelization library