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🏡 Open source home automation that puts local control and privacy first.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
You like pytorch? You like micrograd? You love tinygrad! ❤️
Deezer source separation library including pretrained models.
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
Turn (almost) any Python command line program into a full GUI application with one line
get things from one computer to another, safely
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
📝 A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion / autosuggestion
AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
An open Apple AirDrop implementation written in Python
Fully automated homelab from empty disk to running services with a single command.
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.
Mealie is a self hosted recipe manager and meal planner with a RestAPI backend and a reactive frontend application built in Vue for a pleasant user experience for the whole family. Easily add recip…
SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
A Collection of Variational Autoencoders (VAE) in PyTorch.
Accessible large language models via k-bit quantization for PyTorch.
Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks