🤗 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.
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Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Making large AI models cheaper, faster and more accessible
Faster Whisper transcription with CTranslate2
Nano vLLM
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
Deep universal probabilistic programming with Python and PyTorch
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch