CNN based model using Quick-Draw-recognition Dataset

Identifying geometrical shapes from the google's quickdraw dataset using Neural Networks:train:

Google Quick Drawing implementation for doodling objects

Conditional GAN for the quickdraw dataset

Quick Draw dataset Classification

A self-made neural network library that supports feedforward neural networks and convolutional neural networks

Convolutional Neural Network trained to classify hand-drawn images

a tensorflow.js convolutional neural network for classifying sketches

Quickdraw application in pytorch and Flask.

Training notebooks for the quickdraw dataset

Quick Draw

ndjsonTosvg to convert Google Quickdraw data set ndjson format to svg i mages

Application for classifying hand-drawn sketches based on the QuickDrawDataset.

Multithreaded c++ program transforms ndjson to images

Sketch recognition Windows and MacOS app using google's quickdraw data set and Electron.js

A Python based TwitterBot implementation that is multi-featured with tweeting, chatting, and drawing.

Quickdraw_grid generates a grid of vector drawings from Google's "Quick, Draw!" database, based on user's input - selected category, number of rows and columns.

This project tries to create new doodles using GAN. This project uses google's quick draw data set

A simple CNN model that classifies doodles into 100 classes.

Multi-layered perceptron on Google's Quick Draw Dataset