Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
-
Updated
Dec 5, 2022 - JavaScript
Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
👀 Use machine learning in JavaScript to detect eye movements and build gaze-controlled experiences.
In-Browser Object Detection using Tiny YOLO on Tensorflow.js
Github action that checks the toxicity level of comments and PR reviews to help make repos safe spaces.
Learning to track eye movement in the browser
Node.js module to predict indoor location using machine learning and WiFi information 📶
NudeNet: NSFW Object Detection for TFJS and NodeJS
Automatic detection of water running to trigger a countdown in the browser
A WeChat MiniProgram Face AR using TensorFlow.js (TFJS) and a face landmarks detection.
Official repository of the book "Deep learning in the browser" published by Bleeding Edge Press August 2018. Find here all of the source code of the demos!
Motion-controlled Fruit Ninja clone using Three.js & Tensorflow.js
Chrome extension to toggle dark mode on Netlify by clapping hands 👏
Object Detection using Yolov7 in tensorflow.js
Real time webcam face detection, protect yourself from COVID19 with a virtual mask
monitor how often you touch your face with WebRTC and tensorflow.js
ES6 hyperparameters search for tfjs
[JS/TensorFlow] JavaScript library that implements machine learning-based models for human pose estimation and human movement analysis. It allows you to easily implement three neural network models for human pose estimation: MoveNet, PoseNet, and BlazePose. No Node.js is required. TensorFlowJS was used, and an example app is included.
Tensorflow.js examples with Electron
run tensorflow on lambdas (aws, vercel, ...)
Add a description, image, and links to the tfjs topic page so that developers can more easily learn about it.
To associate your repository with the tfjs topic, visit your repo's landing page and select "manage topics."