#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.
🔎 Search the information available on a webpage using natural language instead of an exact string match.
XR Animator, AI-based Full Body Motion Capture and Extended Reality (XR) solution, powered by System Animator Online
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