CNN based model using Quick-Draw-recognition Dataset
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Updated
Nov 12, 2019 - Jupyter Notebook
CNN based model using Quick-Draw-recognition Dataset
Convolutional Neural Network trained to classify images
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 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
Multi-layered perceptron on Google's Quick Draw Dataset
A web game developed using Google QuickDraw dataset
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.
Simple GAN example using "Quick, Draw!" dataset example (bird doodles)
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