fengwuyao

@tensorflow/tfjs-layers

TensorFlow layers API in JavaScript

@tensorflow/tfjs

An open-source machine learning framework.

@tensorflow/tfjs-core

Hardware-accelerated JavaScript library for machine intelligence

@tensorflow/tfjs-converter

Tensorflow model converter for javascript

@tensorflow-models/posenet

Pretrained PoseNet model in TensorFlow.js

@tensorflow-models/mobilenet

Pretrained MobileNet in TensorFlow.js

@tensorflow/tfjs-node

This repository provides native TensorFlow execution in backend JavaScript applications under the Node.js runtime, accelerated by the TensorFlow C binary under the hood. It provides the same API as [TensorFlow.js](https://js.tensorflow.org/api/latest/).

@tensorflow/tfjs-node-gpu

For information please refer [here](https://github.com/tensorflow/tfjs/blob/master/tfjs-node/README.md).

@tensorflow/tfjs-tsne

TensorFlow.js powered tSNE implementation

@tensorflow-models/knn-classifier

KNN Classifier for TensorFlow.js

@tensorflow-models/speech-commands

Speech-command recognizer in TensorFlow.js

@tensorflow/tfjs-vis

Utilities for in browser visualization with TensorFlow.js

@tensorflow-models/coco-ssd

Object detection model (coco-ssd) in TensorFlow.js

@tensorflow-models/person-segmentation

Pretrained Person Segmentation model in tensorflow.js

@tensorflow/tfjs-data

TensorFlow Data API in JavaScript

@tensorflow-models/body-pix

Pretrained BodyPix model in TensorFlow.js

@tensorflow-models/universal-sentence-encoder

Universal Sentence Encoder lite in TensorFlow.js

@tensorflow-models/toxicity

Toxicity model in TensorFlow.js

@tensorflow/tfjs-backend-webgpu

This package adds a GPU accelerated [WebGPU](https://www.w3.org/TR/webgpu/) backend to TensorFlow.js. It currently supports the following models: - BlazeFace - BodyPix - Face landmarks detection - HandPose - MobileNet - PoseDetection - Universal sentence

@tensorflow/tfjs-react-native

TensorFlow.js platform implementation for React Native

@tensorflow/tfjs-automl

This packages provides a set of APIs to load and run models produced by AutoML Edge.

@tensorflow-models/deeplab

Semantic Segmentation in the Browser: DeepLab v3 Model

@tensorflow/tfjs-backend-wasm

This package adds a WebAssembly backend to TensorFlow.js. It currently supports the following models from our [models](https://github.com/tensorflow/tfjs-models) repo: - BlazeFace - BodyPix - CocoSSD - Face landmarks detection - HandPose - KNN classifier

@tensorflow-models/blazeface

Pretrained face detection model in TensorFlow.js

@tensorflow-models/qna

Question and Answer model (Mobile BERT)