A simple demonstration for CNN models.
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Updated
Jun 10, 2017 - JavaScript
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
A simple demonstration for CNN models.
🐱 Take kemono pictures and lines up 3, then tanoshii
A TensorFlow.js model training on circle, square, and line strokes drawn on an HTML canvas
Real time Object detection through web-camera (PC, Phone, Tablets) using Tensorflow.js, Coco-ssd and React.
Draws an emoji on your face! Powered by Nuxt.js, Tensorflow.js and Posenet
Learn everything around ML
Implementing of face-api.js to build a face expression detector
App to classify images in real-time
Generic and easy-to-use serving service for machine learning models
IONDV application for forming and marking up datasets and dataset based checking of the results of differently set tensorflow models training
Realtime object detection in JavaScript.
A simple website containing information retrieval like a question answering system, give a question and get answers. written on JavaScript. A college assignment.
react webcam hand-tracking using tensorflow.js model - followed the following tutorial: https://www.youtube.com/watch?v=f7uBsb-0sGQ&t=166s
Zephyr is a platform which provides users with the predicted Air Quality Index levels of air pollution for 39 cities of India with daily, monthly and yearly trends. It also provides some of the statistics observed for AQI over these cities and various latest articles and blogs related to air pollution.
Share your webcam stream with real-time object detection to the public by Node.js.
Warning when put the hand on your face
a platform which provides users with the predicted Air Quality Index levels of air pollution for 39 cities of India with daily, monthly and yearly trends. It also provides some of the statistics observed for AQI over these cities and various latest articles and blogs related to air pollution.
TensorFlow as a Service, a general purpose framework to serve TF models.
Created by Google Brain Team
Released November 9, 2015