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