#deep-learning

Open standard for machine learning interoperability

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

oneAPI Deep Neural Network Library (oneDNN)

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Streamlit — A faster way to build and share data apps.

🤗 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.

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.

The official CLI and Python client for the Hugging Face Hub.

🤗 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.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

Deep Learning for humans

Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools