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ライブラリと拡張機能
TensorFlow を使用して高度なモデルやメソッドを構築するための各種ライブラリや、TensorFlow を拡張するドメイン固有のアプリケーション パッケージをご用意しています。
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.
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.
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.
KerasNLP
An easily customizable natural language processing library providing modular components and state-of-the-art preset weights and architectures.
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.
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.
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
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.
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.
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