Autoencoder Python Packages

augmented-pca

Repository for the AugmentedPCA Python package.

ezyrb

Easy Reduced Basis method

focal-frequency-loss

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

tmu

Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating.

pyaerial

Scalable association rule mining from tabular datasets.

phasecurvefit

Construct Paths through Phase-Space Points

anomalybench

A comprehensive Python library for anomaly detection with 30+ algorithms, benchmarking tools, and extensible plugin architecture

mathcraft-ocr

Formula Recognition & Office Editing | Handwriting & PDF to LaTeX/Markdown | Secure API Integrations.

autoembedder

PyTorch autoencoder with additional embeddings layer for categorical data 🚘

medtokenizers

Tokenizers for 2D and 3D medical images: VQ, LFQ, FSQ, Residual FSQ, VAE, and AE quantizers behind one backbone.

autoencodix

Python library for multi-omics data integration by autoencoders

dlkoopman

A general-purpose Python package for Koopman theory using deep learning.

keras-unsupervised

Keras framework for unsupervised learning

ponyo

Software to simulate compendium-wide gene expression data using a VAE.

va-am

VA-AM (Various Advanced - Analogue Methods) is a Python package based on the deep learning enhancement of the classical statistical Analogue Method. It provides several tools to analyse climatological extreme events, particularly heat waves.

spender

Spectrum encoder and decoder

simages

Find duplicates and similar images in a folder

maui-tools

Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit

featurewiz-polars

New Polars implementation of the classic featurewiz MRMR algorithm. Created by Ram Seshadri. Collaborators welcome.

mlx-vis

Pure MLX implementations of UMAP, t-SNE, PaCMAP, TriMap, DREAMS, CNE, MMAE, and NNDescent for Apple Silicon. Metal GPU for computation and video rendering.

cae

a convolutional autoencoder in python and keras.

aestetik

AESTETIK: Convolutional autoencoder for learning spot representations from spatial transcriptomics and morphology data

colvars-finder

A package to find collective variables of dynamical systems by training neural networks

encodermap

python library for dimensionality reduction