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- An Open Source Machine Learning Framework for Everyone
- Probabilistic reasoning and statistical analysis in TensorFlow
- An open-source Python framework for hybrid quantum-classical machine learning.
- A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
- TFX is an end-to-end platform for deploying production ML pipelines
- A flexible, high-performance serving system for machine learning models
- TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
- TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
- A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
- Lingvo
- Training neural models with structured signals.
- A WebGL accelerated JavaScript library for training and deploying ML models.
- TensorFlow Recommenders is a library for building recommender system models using TensorFlow.