Calculate the circle winding biases for each country with data from Google QuickDraw
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Updated
Jul 8, 2017 - Jupyter Notebook
Calculate the circle winding biases for each country with data from Google QuickDraw
🔥 A Complete List of GitHub Profile Badges and Achievements 🔥
Quickdraw application in pytorch and Flask.
Implementation of Quickdraw - an online game developed by Google
🛡️ A list of all profile badges and how to obtain each one 🛡️
This repository includes a collection of every single badge on GitHub, and how to obtain each one of them. Some of them are obtainable, not obtainable, or still in beta testing. This repository orders the badges from Very Easy to Easy to Medium and finally Hard.
🐶 exploring the latent space of google quickdraw's dogs
iOS App that guesses what you have drawn. It is creating using SwiftUI interface and CoreML. Model is trained using Google's Quick Draw Dataset
A subset of the famous Google "Quick Draw" dataset
Conditional GAN for the quickdraw dataset
An implementation of Google's Quick
Recognition of million drawings doodle considering three types of birds: 'duck', 'flamingo' and 'swan'. The project focused on six kind of models: MLP, LSTM, GRU, bi-LSTM, CNN and CNN-D
Repository for a Pictionary-inspired gaming app created for the Flatiron Hackathon in August 2021 (Flatiron + Pictionary = Flictionary, in case it wasn't apparent)
Training notebooks for the quickdraw dataset
Quick Draw
A Complete List of GitHub Profile Badges and Achievements
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