An ELECTRA model for binary classification to determine if a tweet is about a disaster or not. This implementation is part of an exercise to find the best performing model among an RNN, an MLP, and a transformer-based model.
A repository containing the solutions of all CS224N assignments I made during the 2021 class.
An experimentation project to help choose a SOTA neural model for summarization. The project uses HuggingFace's pre-trained models over the XSum and CNN / Daily Mail datasets. The generated summaries are evaluated intrinsically and extrinsically with ROUGE1 and ROUGEL.
A Spanish-English translator based on a Transformer model. It was trained on Google Cloud with 114k examples and a customized training loop. This is not a notebook but a modular object-oriented project with a simple TUI that allows interaction with the translator.
A prototype to know family-units' water consumption using IoT, time-series databases, and visualization software. This project aims to understand how we use water to reduce our footprint as a way to help against climate change.
A website I made with several objectives in mind: