Highlights
- Pro
Stars
Introduction to Machine Learning Systems
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
Rust port of Spice, a low-overhead parallelization library
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
Applying Prophecy variables in TLA+ to the Herlihy & Wing paper