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Michelle Bonat's Projects

aisquared-end-to-end icon aisquared-end-to-end

End-to-End examples of using the aisquared Python SDK to create .air files for use within the AI Squared Extension

angular-find-devs icon angular-find-devs

An app to find developers in a specific city based on their programming language. Built in Angular 4 using Angular CLI, TypeScript, Node.js, and of course Javascript.

applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-fintech icon awesome-fintech

A curated list of amazingly awesome financial libraries, resources and shiny things.

bert icon bert

TensorFlow code and pre-trained models for BERT

bitparrot icon bitparrot

An app I created so developers can track the info they need: now includes Twitter API feeds and Machine Learning, Python, and Ruby on Rails sections. Update: no longer being served, leaving public for the code.

bloccit icon bloccit

This is a Reddit-type app built as an exercise. Features include topics, posts, voting and privacy features.

bloccit-rails-4 icon bloccit-rails-4

A Reddit clone to teach the fundamentals of web development and Rails 4

blocipedia icon blocipedia

This is my wikipedia-type app demo. It has collaboration, privacy, and paid settings, uses Stripe, HAML, and more.

bowsprit icon bowsprit

A web app to guide you through customer development interviews

chatgpt-api icon chatgpt-api

Node.js client for the unofficial ChatGPT API. 🔥

ckan icon ckan

CKAN is an open-source DMS (data management system) for powering data hubs and data portals. CKAN makes it easy to publish, share and use data. It powers catalog.data.gov, open.canada.ca/data, data.humdata.org among many other sites.

code_quizzer icon code_quizzer

Programming practice questions with Ruby, JavaScript, Rails, and Bash.

create-react-app-auth-amplify icon create-react-app-auth-amplify

Implements a basic authentication flow for signing up/signing in users as well as protected client side routing using AWS Amplify.

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