Mantenha tudo organizado com as coleções
Salve e categorize o conteúdo com base nas suas preferências.
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.
-
TensorFlow Addons
Extra functionality for TensorFlow, maintained by SIG Addons.
Ver documentação
-
TensorFlow Agents
A library for designing, testing, and implementing reinforcement learning algorithms.
Ver documentação
-
TensorFlow Compression
A library to build ML models with end-to-end optimized data compression built in.
Ver documentação
-
TensorFlow Data Validation
A library to analyze training and serving data to compute descriptive statistics, infer schemas, and detect anomalies.
Ver documentação
-
TensorFlow Decision Forests
State-of-the-art algorithms for training, serving and interpreting models that use decision forests for classification, regression and ranking.
Ver documentação
-
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.
Ver documentação
-
TensorFlow Federated
An open source framework for machine learning and other computations on decentralized data.
Ver documentação
-
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.
Ver documentação
-
TensorFlow Hub
A library for reusable machine learning. Download and reuse the latest trained models with a minimal amount of code.
Ver documentação
-
TensorFlow IO
Dataset, streaming, and file system extensions, maintained by SIG IO.
Ver documentação
-
TensorFlow JVM
Language bindings for Java and other JVM languages, such as Scala or Kotlin.
Ver documentação
-
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.
Ver documentação
-
TensorFlow Lite Micro
A library to run ML models on digital signal processors (DSPs), microcontrollers, and other devices with limited memory.
Ver documentação
-
TensorFlow Lite Model Maker
A library that simplifies model training for on-device natural language processing, vision, and audio applications.
Ver documentação
-
TensorFlow Lite Support
A toolkit to customize model interface on Android, create metadata, and build inference pipelines for mobile deployment.
Ver documentação
-
Utilities for passing TensorFlow-related metadata between tools.
-
A library for recording and retrieving MLOps metadata associated with machine learning workflows.
Ver documentação
-
TensorFlow Model Analysis
A library for deep analysis of model results beyond simple training metrics, to measure edge and corner cases and bias.
Ver documentação
-
A collection of tools to generate documents that provide context and transparency into a model's development and performance.
Ver documentação
-
A suite of tools for optimizing ML models for deployment and execution.
Ver documentação
-
A library to help create and train models in a way that reduces or eliminates user harm resulting from underlying performance biases.
Ver documentação
-
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.
Ver documentação
-
TensorFlow Privacy
A Python library that includes implementations of TensorFlow optimizers for training machine learning models with differential privacy.
Ver documentação
-
TensorFlow Probability
A library for probabilistic reasoning and statistical analysis.
Ver documentação
-
TensorFlow Quantum
A quantum machine learning library for rapid prototyping of hybrid quantum-classical ML models.
Ver documentação
-
TensorFlow Ranking
A library for Learning-to-Rank (LTR) techniques on the TensorFlow platform.
Ver documentação
-
TensorFlow Recommenders
A library for building recommender system models.
Ver documentação
-
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
Ver documentação
-
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.
Ver documentação
-
A library for large-scale feature engineering and eliminating training-serving skew.
Ver documentação
-
TensorFlow.js
A hardware-accelerated library for training and deploying ML models using JavaScript or Node.js.
Ver documentação
-
TFX
An end-to-end platform for deploying production ML pipelines.
Ver documentação
-
TFX-Addons
A collection of community projects to build new components, examples, libraries, and tools for TFX.
Ver documentação
[{
"type": "thumb-down",
"id": "missingTheInformationINeed",
"label":"Não contém as informações de que eu preciso"
},{
"type": "thumb-down",
"id": "tooComplicatedTooManySteps",
"label":"Muito complicado / etapas demais"
},{
"type": "thumb-down",
"id": "outOfDate",
"label":"Desatualizado"
},{
"type": "thumb-down",
"id": "translationIssue",
"label":"Problema na tradução"
},{
"type": "thumb-down",
"id": "samplesCodeIssue",
"label":"Problema com as amostras / o código"
},{
"type": "thumb-down",
"id": "otherDown",
"label":"Outro"
}]
[{
"type": "thumb-up",
"id": "easyToUnderstand",
"label":"Fácil de entender"
},{
"type": "thumb-up",
"id": "solvedMyProblem",
"label":"Meu problema foi resolvido"
},{
"type": "thumb-up",
"id": "otherUp",
"label":"Outro"
}]
{
"confidential": False
}