#tensorflow

Tensorflow's Fairness Evaluation and Visualization Toolkit

End-to-end ML toolkit automating the complete workflow — data profiling, preprocessing, feature engineering, model selection, training, validation, explainability, drift monitoring, fairness checks, and interactive HTML reporting. Includes a full CLI for zero-code ML pipelines. Python 3.10+.

Utilities for passing TensorFlow-related metadata between tools

A multi-backend graph learning library.

MLeap: Deploy ML Pipelines to Production

Next-gen AI-native tensor-network-based quantum software framework

🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

Scaleout Edge: Sovereign Edge AI orchestration and Federated Learning

Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO