There are 27 repositories under tensorflowjs topic.
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
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.
Run JavaScript and TypeScript in node.js within VS Code notebooks with excellent support for debugging, tensorflowjs visulizations, plotly, danfojs, etc
PyTorch to Keras model convertor
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
XR Animator, AI-based Full Body Motion Capture and Extended Reality (XR) solution, powered by System Animator Online
👀 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...】
Github action that checks the toxicity level of comments and PR reviews to help make repos safe spaces.
微信小程序运行 TensorFlow 的 Demo
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
Realtime TensorFlow.js + WebGL visualization apps. 3D Hand pose estimation, 3D Human pose estimation, Face swap, Depth estimation, Higher accuracy face detection.
A reinforcement learning environment for self-driving cars in the browser.
Node.js module to predict indoor location using machine learning and WiFi information 📶
Become a virtual character with just your webcam!
This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and pb. PyTorch (NCHW) -> ONNX (NCHW) -> OpenVINO (NCHW) -> openvino2tensorflow -> Tensorflow/Keras (NHWC/NCHW) -> TFLite (NHWC/NCHW). And the conversion from .pb to saved_model and from saved_model to .pb and from .pb to .tflite and saved_model to .tflite and saved_model to onnx. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support.
TFJS based finger pose classifier for hand landmarks detected by the MediaPipe Handpose Detection model
A machine learning project. Turn on your webcam. Mona Lisa's eyes will follow you around.
Generate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support. Supports inverse quantization of INT8 quantization model.
A UI tool for quickly training image classifiers in the browser
Brainchop: In-browser 3D MRI rendering and segmentation
PoseNet Sketchbook is a collection of open source, interactive web experiments designed to allude to the artistic possibilities of using PoseNet (running on tensorflow.js) to create a relationship between movement and machine.
Play a Beat Saber clone with hand movements using Tensorflow.js & PoseNet
📖 👆🏻 Links Detector makes printed links clickable via your smartphone camera. No need to type a link in, just scan and click on it.