Stars
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm
A maintained, feature-rich and performance oriented, neofetch like system information tool.
A Visual Studio Code extension for Colab.
The latest releases for Niagara Launcher, a modern + minimalist Android home screen optimized for one-✋ access and staying focused.
Generative Models by Stability AI
StableLM: Stability AI Language Models
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
An Open Source Machine Learning Framework for Everyone
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Helper application for Linux distributions serving as a kind of "entry point" for running and integrating AppImages