featurewiz

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under choice of GPL-2 or GPL-3 license.

Place recognition with WiFi fingerprints using Autoencoders and Neural Networks

Implementation of simple autoencoders networks with Keras

Network-to-Network Translation with Conditional Invertible Neural Networks

A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.

Collection of operational time series ML models and tools

[ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"

Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder