Andrey Portnoy

Tokamax: A GPU and TPU kernel library.

No description provided.

Procedural image generator

A minimal RISC-V RV32I disassembler

Visualize core-to-core communication latency

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Report cards for courses at UCSD using simple statistical analysis.

MLX: An array framework for Apple silicon

No description provided.

Mirror of GNU Emacs

CUDA Templates for Linear Algebra Subroutines

A machine learning compiler for GPUs, CPUs, and ML accelerators

No description provided.

Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.

Stores documents and resources used by the OpenXLA developer community

No description provided.

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Note: the repository does not accept github pull requests at this moment. Please submit your patches at http://reviews.llvm.org.

No description provided.

Common Log Format Pretty Print

Beej's Guide to Unix Interprocess Communication source

A book about compiling Racket and Python to x86-64 assembly

Driving Compilers

FreeBSD doc tree (read-only mirror)

No description provided.

scikit-learn: machine learning in Python

Unified sensor driver for the Adafruit BNO055 orientation sensor breakout

Freeze (package) Python programs into stand-alone executables

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

No description provided.

Python library for linear mixed effects model fitting