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1. VAE-Preference-Learning VAE-Preference-Learning Public

   In this work I create a variational auto-encoder to create trajectory query pairs for active preference learning of terrain costs for robot navigation.

   Python 2

2. realtime-lead-scoring realtime-lead-scoring Public

   Real-time lead scoring with Spark Structured Streaming and Random Forest classification to connect buyers with agents (90% accuracy).

   Jupyter Notebook 1

3. readcrumbs readcrumbs Public

   A system that recommends books given a user’s favorite titles, including an API, monitoring website, and app.

   Python

4. emotigrad emotigrad Public

   EmotiGrad is a tiny Python library that wraps your PyTorch optimizers and gives you emotionally-charged feedback during training, from wholesome encouragement to unhinged sass.

   Python 1 1

5. lightread lightread Public

   LightRead is a Chrome extension that lets you highlight any text on a webpage and instantly generate a smart, readable summary — right where you're reading. Perfect for students, researchers, and c…

   JavaScript

6. PixelMon PixelMon Public

   In this project I explore various deep learning models for image generation. Check out my blog post!

   Python 2