A collection of academic papers/blogs/talks/projects that I read/watched/explored during the month. I also include any small (or large) personal projects that I did and any such related ML/non-ML work.
Personal Projects VAE-Implementation - A simple implementation of Autoencoder and Variational Autoencoder - [Github] MinHash-Implemenation - A simple MinHash implementation based on the explanation in the Mining of Massive Datasets course by Stanford - [Github] Paper re-implementation - Sentence VAE paper, “Generating Sentences from a Continuous Space” by Bowman et al.