#deep-learning

AI Toolkit for Healthcare Imaging

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

Open standard for machine learning interoperability

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.

oneAPI Deep Neural Network Library (oneDNN)

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

🤗 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.

Neural Network Compression Framework for enhanced OpenVINO™ inference

Scalable and user friendly neural :brain: forecasting algorithms.

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.

Fast and Accurate ML in 3 Lines of Code

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

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

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

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

Deep Learning for humans

On-device AI across mobile, embedded and edge for PyTorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

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

Refine high-quality datasets and visual AI models

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

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）

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.

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

🐍 Geometric Computer Vision Library for Spatial AI

Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

ModelScope: bring the notion of Model-as-a-Service to life.