#Tfjs
Showing 22 of 22 repositories tagged #tfjs, ranked by stars
Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
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.
A tool for converting ONNX files to LiteRT/TFLite/TensorFlow, PyTorch native code (nn.Module), TorchScript (.pt), state_dict (.pt), Exported Program (.pt2), and Dynamo ONNX. It also supports direct conversion from LiteRT to PyTorch.
๐ Use machine learning in JavaScript to detect eye movements and build gaze-controlled experiences.
In-Browser Object Detection using Tiny YOLO on Tensorflow.js
Demo on adding virtual background to a live video stream in the browser
Github action that checks the toxicity level of comments and PR reviews to help make repos safe spaces.
Learning to track eye movement in the browser
low-light๐ก image enhancement
๐Change the world, it will become a better place. | ไปฅ็ง็ ๅ็ซ่ตไธบๅฏผๅ็ๆๅฅฝ็YOLOๅฎ่ทตๆกๆถ!
Official repository of the book "Deep learning in the browser" published by Bleeding Edge Press August 2018. Find here all of the source code of the demos!
Motion-controlled Fruit Ninja clone using Three.js & Tensorflow.js
A minimal TensorFlow.js re-implementation of Karpathy's minGPT (Generative Pre-trained Transformer). The GPT model itself is <300 lines of code.
Identify Diseases in Plantsโ๏ธ with Machine Learning on the web using TFJS
Chrome extension to toggle dark mode on Netlify by clapping hands ๐
Object Detection using Yolov7 in tensorflow.js
Real time webcam face detection, protect yourself from COVID19 with a virtual mask
[JS/TensorFlow] JavaScript library that implements machine learning-based models for human pose estimation and human movement analysis. It allows you to easily implement three neural network models for human pose estimation: MoveNet, PoseNet, and BlazePose. No Node.js is required. TensorFlowJS was used, and an example app is included.
Simple APIs to load and prepare data for use in machine learning models
Face detection from webcam in browser using javascript library face-api.js
Visualize backpropagation in neural networks live in your browser. VISxAI 2021
Machine Learning platform in-browser for creators