This project demonstrates how to use a simple autoencoder to perform dimensionality reduction on the MNIST dataset. The autoencoder is built with TensorFlow/Keras and learns to compress the ...

This repository demonstrates dimensionality reduction on RGB images with a Convolutional Autoencoder (CAE). It includes a training notebook (models/cae.ipynb), a Streamlit demo (app.py) that uses the ...

Anomaly detection, also called outlier detection, is the process of finding rare items in a dataset. Examples include finding fraudulent login events and fake news items. Take a look at the demo ...

The sequence of amino acids within a protein dictates its structure and function. Protein engineering campaigns seek to discover protein sequences with desired functions. Data-driven models of the ...