EZyRB
EZyRB: Easy Reduced Basis method - Published in JOSS (2018)
BetaML
BetaML: The Beta Machine Learning Toolkit, a self-contained repository of Machine Learning algorithms in Julia - Published in JOSS (2021)
Multi-view-AE
Multi-view-AE: A Python package for multi-view autoencoder models - Published in JOSS (2023)
MACE
MACE: a Machine-learning Approach to Chemistry Emulation - Published in JOSS (2025)
rapidae
Explore, compare and develop autoencoder models with a back-end agnostic framework
lgn-autoencoder
Lorentz group equivariant autoencoders based on Lorentz Group Network
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.
https://github.com/yzhao062/pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
https://github.com/araffin/srl-zoo
State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
https://github.com/chris-santiago/autoencoders
Experimenting with various autoencoder architectures.
emri_signal_detection
Detecting GW signals from extreme mass ratio inspirals using convolutional autoencoders
syncx
Official code repository for NeurIPS 2024 paper "Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery"
jamie
Joint variational Autoencoders for Multimodal Imputation and Embedding (JAMIE)