Stars
High-performance, light-weight C++ LLM and VLM Inference Software for Physical AI
Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.
Examples for Recommenders - easy to train and deploy on accelerated infrastructure.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
🤗 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.
A lightweight window border system for macOS
Generate a timeline of your day, automatically
pytest plugin for distributed testing and loop-on-failures testing modes.
Image recognition for chess positions
Predict chessboard FEN layouts from images using TensorFlow
Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM
UCCL is an efficient communication library for GPUs, covering collectives, P2P (e.g., KV cache transfer, RL weight transfer), and EP (e.g., GPU-driven)
A modern port of Turbo Vision 2.0, the classical framework for text-based user interfaces. Now cross-platform and with Unicode support.
NVIDIA TensorRT-RTX is an SDK for high-performance AI inference on NVIDIA RTX GPUs. This repository contains Open-Source Software components of TensorRT-RTX.
PyTorch native quantization and sparsity for training and inference
DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling
A simple, performant and scalable Jax LLM!
This is the latest version of the internal repository from Pebble Technology providing the software to run on Pebble watches. Proprietary source code has been removed from this repository and it wi…
A list of tech-related Bluesky starter packs