#人脸识别#JavaScript API 人脸识别，基于 tensorflow.js
#计算机科学#NSFW detection on the client-side via TensorFlow.js
#人脸识别#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), ...
#人脸识别#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,...
Web Augmented Reality. Image Tracking, Face Tracking. Tensorflow.js
#计算机科学#Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
#计算机科学#JS Expert Week 7.0 - 🙅🤏🏻 Controlling Streaming Platforms using Eye and Hand Detection 👁🖐
A free, open source, and privacy-focused browser extension to block “not safe for work” content built using TypeScript and TensorFlow.js.
XR Animator, AI-based Full Body Motion Capture and Extended Reality (XR) solution, powered by System Animator Online
🔎 Search the information available on a webpage using natural language instead of an exact string match.
Run JavaScript and TypeScript in node.js within VS Code notebooks with excellent support for debugging, tensorflowjs visulizations, plotly, danfojs, etc
#计算机科学#PyTorch to Keras model convertor
#安卓#Real-time portrait segmentation for mobile devices
#计算机科学#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 arch...
#前端开发#👀 Use machine learning in JavaScript to detect eye movements and build gaze-controlled experiences.
🌸这是一个有趣的前端趣味知识公园~该项目是我平时捣鼓前端相关技术的一些案例集合。【涵盖：（Tensorflow.js-姿态识别，人脸识别），(WebRTC-音视频通话，录屏，虚拟背景，信令服务器)，（Threejs-太阳系，3D 动画），（图片处理-千图成像，图片压缩，画板），（隐写术-文本隐写加密，图片隐写加密）等等...】
微信小程序运行 TensorFlow 的 Demo
#计算机科学#A project to make Amazon Echo respond to sign language using your webcam
TFJS based finger pose classifier for hand landmarks detected by the MediaPipe Handpose model