tensorflowjs

JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

NSFW detection on the client-side via TensorFlow.js

Blendshape and kinematics calculator for Mediapipe/Tensorflow.js Face, Eyes, Pose, and Finger tracking models.

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

JS Expert Week 7.0 - 🙅🤏🏻 Controlling Streaming Platforms using Eye and Hand Detection 👁🖐

Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

Web Augmented Reality. Image Tracking, Face Tracking. Tensorflow.js

Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition

🔎 Search the information available on a webpage using natural language instead of an exact string match.

PyTorch to Keras model convertor

Run JavaScript and TypeScript in node.js within VS Code notebooks with excellent support for debugging, tensorflowjs visulizations, plotly, danfojs, etc

In this repository, I have developed the entire server-side principal architecture for real-time stock market prediction with Machine Learning. I have used Tensorflow.js for constructing ml model architecture, and Kafka for real-time data streaming and pipelining.

Real-time portrait segmentation for mobile devices

Image Upscaling in Javascript. Increase image resolution up to 4x using Tensorflow.js.

👀 Use machine learning in JavaScript to detect eye movements and build gaze-controlled experiences.

Github action that checks the toxicity level of comments and PR reviews to help make repos safe spaces.

A project to make Amazon Echo respond to sign language using your webcam

微信小程序运行 TensorFlow 的 Demo

TFJS based finger pose classifier for hand landmarks detected by the MediaPipe Handpose model

A reinforcement learning environment for self-driving cars in the browser.