Autoencoder Python Packages

ezyrb

Easy Reduced Basis method

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.

focal-frequency-loss

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

mathcraft-ocr

A Windows math workspace for screenshot OCR, handwriting-to-LaTeX, editing, preview, and symbolic computation, powered by MathCraft OCR and MathLive.

autoembedder

PyTorch autoencoder with additional embeddings layer for categorical data 🚘

simages

Find similar images in a dataset

augmented-pca

Python implementations of supervised and adversarial linear factor models.

autoencodix

Python library for multi-omics data integration by autoencoders

rectorch

rectorch: state-of-the-art recsys approaches implemented in pytorch.

keras-unsupervised

Keras framework for unsupervised learning

featurewiz-polars

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

easyvae

Python implementation of a Classical and Variational Autoencoders using Numpy

encodermap

python library for dimensionality reduction

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.

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.

colvars-finder

Find collective variables (CVs) by training neural networks.

dlkoopman

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

maskbit-pytorch

MaskBit

cae

A simple convolutional autoencoder

spender

Spectrum encoder and decoder

maui-tools

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

ztlearn

zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib

sequitur

Autoencoders for sequential data

lycorisad

An elegant outlier detection algorithm framework based on AutoEncoder.