Pinned Repositories
amazon-product-relation-analysis
A final project for CS 225 that analyzes patterns between buying habits and how Amazon presents products that are frequently bought together.
amit-sawhney
Best-README-Template
An awesome README template to jumpstart your projects!
example-repo
flutter-exploration
mnist-classifier
NaiveBayes Classifier on the MNIST dataset that allows users to draw numbers with real-time prediction.
neural-network-builder
A dynamic neural network builder that allows drag and drop datasets with customizable neural structures.
phet-particle-simulator
Phet-based particle simulator with temperature and particle controls.
react-table-ts
south-side-weekly
An internal volunteer contributor dashboard.
amit-sawhney's Repositories
amit-sawhney/amazon-product-relation-analysis
A final project for CS 225 that analyzes patterns between buying habits and how Amazon presents products that are frequently bought together.
amit-sawhney/flutter-exploration
amit-sawhney/react-table-ts
amit-sawhney/amit-sawhney
amit-sawhney/Best-README-Template
An awesome README template to jumpstart your projects!
amit-sawhney/example-repo
amit-sawhney/mnist-classifier
NaiveBayes Classifier on the MNIST dataset that allows users to draw numbers with real-time prediction.
amit-sawhney/neural-network-builder
A dynamic neural network builder that allows drag and drop datasets with customizable neural structures.
amit-sawhney/phet-particle-simulator
Phet-based particle simulator with temperature and particle controls.
amit-sawhney/polario-extension
Chrome extension that rates the reliability of the current website using MBFC (Media Bias/Fact Check) data.
amit-sawhney/hack-illinois-staff-app
This is the coding challenge for the 2020 Hack Illinois Staff Application
amit-sawhney/hackillinois
Hack Illinois 2020 Hackathon
amit-sawhney/learning-ml
amit-sawhney/notes
just random notes from school (not comprehensive)
amit-sawhney/nuntium
amit-sawhney/planet-hunters
A class project for CS 196 to exploring different machine learning models and understanding the basics of neural networks
amit-sawhney/takehome-fa20
amit-sawhney/tech-talk-repo