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Bibliothèques et extensions
Découvrez des bibliothèques permettant de créer des modèles ou des méthodes avancés avec TensorFlow et accédez à des packages d'applications spécialisées pour enrichir TensorFlow de nouvelles fonctionnalités.
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TensorFlow Addons
Extra functionality for TensorFlow, maintained by SIG Addons.
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TensorFlow Agents
A library for designing, testing, and implementing reinforcement learning algorithms.
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TensorFlow Compression
A library to build ML models with end-to-end optimized data compression built in.
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TensorFlow Data Validation
A library to analyze training and serving data to compute descriptive statistics, infer schemas, and detect anomalies.
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TensorFlow Decision Forests
State-of-the-art algorithms for training, serving and interpreting models that use decision forests for classification, regression and ranking.
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Dopamine
A research framework for fast prototyping of reinforcement learning algorithms.
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Fairness Indicators
A library that enables easy computation of commonly-identified fairness metrics for binary and multiclass classifiers.
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TensorFlow Federated
An open source framework for machine learning and other computations on decentralized data.
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TensorFlow GNN
A library to build neural networks on graph data (nodes and edges with arbitrary features), including tools for preparing input data and training models.
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TensorFlow Graphics
A library of computer graphics functionalities ranging from cameras, lights, and materials to renderers.
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TensorFlow Hub
A library for reusable machine learning. Download and reuse the latest trained models with a minimal amount of code.
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TensorFlow IO
Dataset, streaming, and file system extensions, maintained by SIG IO.
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TensorFlow JVM
Language bindings for Java and other JVM languages, such as Scala or Kotlin.
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KerasCV
A library of modular components for common computer vision tasks such as data augmentation, classification, object detection, segmentation, and more.
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KerasNLP
An easily customizable natural language processing library providing modular components and state-of-the-art preset weights and architectures.
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TensorFlow Lattice
A library for flexible, controlled and interpretable ML solutions with common-sense shape constraints.
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TensorFlow Lite Micro
A library to run ML models on digital signal processors (DSPs), microcontrollers, and other devices with limited memory.
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TensorFlow Lite Model Maker
A library that simplifies model training for on-device natural language processing, vision, and audio applications.
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TensorFlow Lite Support
A toolkit to customize model interface on Android, create metadata, and build inference pipelines for mobile deployment.
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Utilities for passing TensorFlow-related metadata between tools.
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A library for recording and retrieving MLOps metadata associated with machine learning workflows.
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TensorFlow Model Analysis
A library for deep analysis of model results beyond simple training metrics, to measure edge and corner cases and bias.
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A collection of tools to generate documents that provide context and transparency into a model's development and performance.
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A suite of tools for optimizing ML models for deployment and execution.
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A library to help create and train models in a way that reduces or eliminates user harm resulting from underlying performance biases.
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NdArray
Utilities for manipulating data in a n-dimensional space in Java, maintained by SIG JVM.
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Neural Structured Learning
A learning framework to train neural networks by leveraging structured signals in addition to feature inputs.
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TensorFlow Privacy
A Python library that includes implementations of TensorFlow optimizers for training machine learning models with differential privacy.
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TensorFlow Probability
A library for probabilistic reasoning and statistical analysis.
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TensorFlow Quantum
A quantum machine learning library for rapid prototyping of hybrid quantum-classical ML models.
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TensorFlow Ranking
A library for Learning-to-Rank (LTR) techniques on the TensorFlow platform.
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TensorFlow Recommenders
A library for building recommender system models.
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TensorFlow Recommenders Addons
A collection of community projects introducing Dynamic Embedding Technology to large-scale recommendation systems built upon TensorFlow
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TensorFlow Serving
A flexible, high-performance serving system for machine learning models, designed for production environments
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Sonnet
A library from DeepMind for constructing neural networks.
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TensorFlow Text
A collection of text- and NLP-related classes and ops ready to use with TensorFlow 2.
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A library for large-scale feature engineering and eliminating training-serving skew.
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TensorFlow.js
A hardware-accelerated library for training and deploying ML models using JavaScript or Node.js.
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TFX
An end-to-end platform for deploying production ML pipelines.
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TFX-Addons
A collection of community projects to build new components, examples, libraries, and tools for TFX.
Consulter la documentation
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