The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

Smallest debug unit to unlock achievements available on the GitHub profile 🏆 Only for the purpose of learning

Implementation of Google Quick Draw doodle recognition game in PyTorch and comparing other classifiers and features.

Classifying images from Google Quick Draw

An AI online game that challenges players to sketch objects and the CNN model makes prediction of what that object is.

My Playground for Deep Learning Experiments and Reading Lists

Developed an interactive doodle classification project where users draw images and a MobileNet-based model predicts the sketch.

Library that provides a QuickDraw dataset using the Pytorch API.

An interactive AI web app that recognizes 50 different animal species from user doodles.

A gamified quantum image classifier inspired by 'Quick, Draw!'.

Doodle recognition using Convolution Neural Networks

DrawBell — Wake up or keep drawing. An alarm app powered by on-device AI that recognizes your doodles. Set an alarm, get a random prompt, draw it — only a correct drawing recognized by our SE-ResNet model (345 categories, 76% top-1 accuracy, trained on 50M+ Quick Draw sketches) silences the alarm. No internet. No excuses.