TOML-annotated C header file format for packaging binary files, from Microsoft Research
Simple tests for JAX, PyTorch, and TensorFlow to test if the installed NVIDIA drivers are being properly picked up
Goal: Low power cluster capable of serving 24+ streams of 4KHDR60 source transcodes while consuming no more than 100W at peak and idling at less than 10W
Windows & Linux automated scripts & docs to improve your UX & productivity (including WSL2, conda, GPU drivers & development tools)
Install PyTorch distributions with computation backend auto-detection
The PennyLane-Lightning plugin provides a fast state-vector simulator written in C++ for use with PennyLane
A CLI tool which lets you install proprietary NVIDIA drivers and much more easily on Fedora Linux (32 or above and Rawhide)