waffs's repositories
device-module
Nuxt.js module for detecting device type.
webcam-audio-visualizer
Audio visualizer with image from web camera.A Three.js powered audio visualizer that takes input from the webcam
autoencoder_based_image_compression
Autoencoder based image compression: can the learning be quantization independent? https://arxiv.org/abs/1802.09371
depthy
Extract depth map and original from photos made with Google Camera's Lens Blur.
pixi-viewport
A highly configurable viewport/2D camera designed to work with pixi.js
Efficient-Compression-Tool
Fast and effective C++ file optimizer
gophers
Gopher Artwork by Ashley McNamara
node-template-test
Created with CodeSandbox
SwagDefGen
This is a tool to help building Swagger documentations. It converts JSON request/response mocks to Swagger definitions.
honeycomb
Create hex grids easily, in node or the browser.
generative-compression
TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression
tensorflow
Computation using data flow graphs for scalable machine learning
TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10
How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows
tfjs-yolo-tiny
In-Browser Object Detection using Tiny YOLO on Tensorflow.js
tensorflow-image-recognition-chrome-extension
Chrome browser extension for using TensorFlow image recognition on web pages
matter-js
a 2D rigid body physics engine for the web ▲● ■
convnetjs
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
three.js
JavaScript 3D library.
three-gltf-viewer
Drag-and-drop preview for glTF 2.0 models in WebGL using three.js.
avataaars-geneator
Simple generator React app for avataaars
TweenTime
Another javascript timeline
tfObjWebrtc
Tensorflow Object Detection API Web Service wrapper that works on any <video> tag and WebRTC streams
html5sortable
VanillaJS sortable lists and grids using native HTML5 drag and drop API.
rawgithack
Serves files from github, bitbucket and gitlab, but with the correct content types
darknet
Convolutional Neural Networks