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repository hosts a set of pre-trained models that have been ported to TensorFlow.js.","homepage":"https://github.com/adri1336/tfjs-models-rn3#readme","repository":{"type":"git","url":"git+https://github.com/adri1336/tfjs-models-rn3.git"},"author":{"name":"adri1336"},"bugs":{"url":"https://github.com/adri1336/tfjs-models-rn3/issues"},"license":"Apache-2.0","readme":"# Pre-trained TensorFlow.js models\n\nThis repository hosts a set of pre-trained models that have been ported to\nTensorFlow.js.\n\nThe models are hosted on NPM and unpkg so they can be used in any project out of the box. They can be used directly or used in a transfer learning\nsetting with TensorFlow.js.\n\nTo find out about APIs for models, look at the README in each of the respective\ndirectories. In general, we try to hide tensors so the API can be used by\nnon-machine learning experts.\n\nFor those interested in contributing a model, please file a [GitHub issue on tfjs](https://github.com/tensorflow/tfjs/issues) to gauge\ninterest. We are trying to add models that complement the existing set of models\nand can be used as building blocks in other apps.\n\n## Models\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
TypeModelDemoDetailsInstall
Images
MobileNet
liveClassify images with labels from the ImageNet database.npm i @tensorflow-models/mobilenet
source
Hand
liveReal-time hand pose detection in the browser using TensorFlow.js.npm i @tensorflow-models/hand-pose-detection
source
Pose
liveAn API for real-time human pose detection in the browser.npm i @tensorflow-models/pose-detection
source
Coco SSD
Object detection model that aims to localize and identify multiple objects in a single image. Based on the TensorFlow object detection API.npm i @tensorflow-models/coco-ssd
source
DeepLab v3
Semantic segmentationnpm i @tensorflow-models/deeplab
source
Face Landmark Detection
liveReal-time 3D facial landmarks detection to infer the approximate surface geometry of a human facenpm i @tensorflow-models/face-landmarks-detection
source
Audio
Speech Commands
liveClassify 1 second audio snippets from the speech commands dataset.npm i @tensorflow-models/speech-commands
source
Text
Universal Sentence Encoder
Encode text into a 512-dimensional embedding to be used as inputs to natural language processing tasks such as sentiment classification and textual similarity.npm i @tensorflow-models/universal-sentence-encoder
source
Text Toxicity
liveScore the perceived impact a comment might have on a conversation, from \"Very toxic\" to \"Very healthy\".npm i @tensorflow-models/toxicity
source
Depth Estimation
Portrait Depth
liveEstimate per-pixel depth (the distance to the camera center) for a single portrait image, which can be further used for creative applications such as 3D photo and relighting.npm i @tensorflow-models/depth-estimation
source
General Utilities
KNN Classifier
This package provides a utility for creating a classifier using the K-Nearest Neighbors algorithm. Can be used for transfer learning.npm i @tensorflow-models/knn-classifier
source
\n\n## Development\n\nYou can run the unit tests for any of the models by running the following\ninside a directory:\n\n`yarn test`\n\nNew models should have a test NPM script (see [this](./mobilenet/package.json) `package.json` and `run_tests.ts` [helper](./mobilenet/run_tests.ts) for reference).\n\nTo run all of the tests, you can run the following command from the root of this\nrepo:\n\n`yarn presubmit`\n","readmeFilename":"README.md"}