Autoencoders Python Packages

featurewiz

Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.

chuchichaestli

Where you find all the state-of-the-art cooking utensils (salt, pepper, gradient descent... the usual).

numalogic

Collection of operational Machine Learning models and tools.

disent

Vae disentanglement framework built with pytorch lightning.

fraud-detection-autoencoders

Use autoencoders to detect fraud samples.

augmented-pca

Python implementations of supervised and adversarial linear factor models.

autokoopman

AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.

segmentae

SegmentAE: A Python Library for Anomaly Detection Optimization

biopy

Multi-omics translations through the usage of multiple uncoupled autoencoders sharing a common latent space

pressio4py

pressio4py: projection-based model reduction for Python

mmae

Package for Multimodal Autoencoders in TensorFlow / Keras

gimmick

Its a image generation library which learns to generate patterns based on training data

dimae

Dimensionality Autoencoder

easyae-samuel-revolinski

This repository if for creating auto-encoders easily. The main focus of the auto-encoders on this page is for genetic and spectral data analysis but likely could be used for any high dimensional data

easyae

This repository if for creating auto-encoders easily. The main focus of the auto-encoders on this page is for genetic and spectral data analysis but likely could be used for any high dimensional data

lscae

Laplacian Score-regularized CAE