#tensorflow

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

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.

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

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.

🤗 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

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

Neural Network Compression Framework for enhanced OpenVINO™ inference

Containers for machine learning

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

XR Blocks is a lightweight WebXR + AI library for rapidly prototyping advanced AI + XR experiences.

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

Flower: A Friendly Federated AI Framework

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

Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.

⚡️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.

Security scanner for AI/ML model files. Detects malicious code, backdoors, and vulnerabilities before deployment

Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference

TFX is an end-to-end platform for deploying production ML pipelines