Machine Learning Tokyo Tensorflow JS Workshop project
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Updated
Oct 5, 2019 - JavaScript
Machine Learning Tokyo Tensorflow JS Workshop project
A simple store site which uses TensorflowJS hand pose detection to place cat food orders -which gets stored to db
A simple image classification app created using tensorflow-js and react. The app uses the pre-built MobileNet v2 model for image classification without going through any additional training process.
TensorFlow.js library codes and model training.
Real time AI Body pose estimation and positioning app build by using ReactJS and react webcam
Real time AI integrated Image classifier and identifier built with ReactJS , TensorflowJS and Tensorflow models
Real time AI hand pose detection and Gesture recognition app build by using ReactJS and react webcam
A Chrome Extension to find out toxicity on any social media page.
Answering questions based on a given context or passage.
Evaluates a client-side model built on top of the Universal Sentence Encoder to detect hateful content selected for the analysis
Upload Image and Face Identification using React js and tensorflow model
Faciem-Deprehendatur is a web application which can do our Real Time AI Face Landmark Detection using Pre-Trained Model " Facemesh-Landmark-Detection " of Tensorflow.js and shows the Face-Mesh by connecting the 3D points through neutral networks on React-Webcam [ a React.js package ]
transforms image or video to pixel art using tensor flow model body-pix
Face tracker to detect and analyze lack of attention using facial features.
This repository demonstrates an end-to-end pipeline for real-time Facial emotion recognition application through full-stack development. The frontend is developed in react.js and the backend is developed in FastAPI. The emotion prediction model is built with Tensorflow Keras, and for real-time face detection with animation on the frontend, Tenso…
TFJS based finger pose classifier for hand landmarks detected by the MediaPipe Handpose model
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