#tensorflow

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.

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

Neural Network Compression Framework for enhanced OpenVINO™ inference

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.

A library for training and deploying machine learning models on Amazon SageMaker

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

Deep Learning for humans

Containers for machine learning

Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

A retargetable MLIR-based machine learning compiler and runtime toolkit.

Pretrained model hub for Keras 3.

We write your reusable computer vision tools. 💜

TensorFlow's Visualization Toolkit

⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.