Pinned repositories
Repositories
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tensorflow
An Open Source Machine Learning Framework for Everyone
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datasets
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
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tflite-support
TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile / ioT devices.
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docs
TensorFlow documentation
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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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docs-l10n
Translations of TensorFlow documentation
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serving
A flexible, high-performance serving system for machine learning models
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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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tfjs
A WebGL accelerated JavaScript library for training and deploying ML models.
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runtime
A performant and modular runtime for TensorFlow
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graphics
TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow
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tensorboard
TensorFlow's Visualization Toolkit
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tfx
TFX is an end-to-end platform for deploying production ML pipelines
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models
Models and examples built with TensorFlow
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io
Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO
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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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federated
A framework for implementing federated learning
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community
Stores documents used by the TensorFlow developer community
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addons
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
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probability
Probabilistic reasoning and statistical analysis in TensorFlow
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model-analysis
Model analysis tools for TensorFlow
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tfx-bsl
Common code for TFX
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text
Making text a first-class citizen in TensorFlow.
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tpu
Reference models and tools for Cloud TPUs.
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java
Java bindings for 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.