Pinned repositories
Repositories
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tfx
TFX is an end-to-end platform for deploying production ML pipelines
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datasets
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
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models
Models and examples built with TensorFlow
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federated
A framework for implementing federated learning
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text
Making text a first-class citizen in TensorFlow.
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model-remediation
Model Remediation is a library that provides solutions for machine learning practitioners working to create and train models in a way that reduces or eliminates user harm resulting from underlying performance biases.
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ranking
Learning to Rank in TensorFlow
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graphics
TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow
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recommenders
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
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decision-forests
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
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model-optimization
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
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agents
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
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hub
A library for transfer learning by reusing parts of TensorFlow models.
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mesh
Mesh TensorFlow: Model Parallelism Made Easier
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transform
Input pipeline framework
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tfx-bsl
Common code for TFX
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addons
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
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cloud
The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in a local environment to distributed training in the cloud.
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quantum
Hybrid Quantum-Classical Machine Learning in TensorFlow
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neural-structured-learning
Training neural models with structured signals.
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model-analysis
Model analysis tools for TensorFlow
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data-validation
Library for exploring and validating machine learning data
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metadata
Utilities for passing TensorFlow-related metadata between tools
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estimator
TensorFlow Estimator
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model-card-toolkit
a tool that leverages rich metadata and lineage information in MLMD to build a model card
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privacy
Library for training machine learning models with privacy for training data
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benchmarks
A benchmark framework for Tensorflow
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tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
