Advanced exports management for AutomationLabs.jl

A simple interface for defining, training, and deploying MDNs.

DNA Motif discovery that includes the discovery of flexible (long or gapped) motifs.

Simple, blazing fast, message-passing graph neural network.

Simple, blazing fast, transformer components.

Bosons/Fermions Superfluid problem with morden tools.

Approximate Bayesian Computation (ABC) with differential evolution (de) moves and model evidence (Z) estimates.

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A package for Joint Energy Models and Energy-Based Models in Julia.

A Julia package to provide RML imaging methods for high-resolution radio interferometry

Advanced systems management for AutomationLabs

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Neural network training, fast and easy.

This is a dimensionality reduction algorithm which has the goal of maintaining interpretability i.e we eliminate variables directly from potential models that don't seem to add any predictive power.

Julia implementation of the ISOKANN algorithm for the computation of invariant subspaces of Koopman operators

JutulDarcyRules: ChainRules extension to Jutul and JutulDarcy

One package to train them all

Julia package for the paper "Decomposition with Monotone B-splines: Fitting and Testing"

Unfolded convolutional learning for motif discovery

Quantum dynamics simulation environment

Advanced process control for AutomationLabs

A simulation engine for models related to plants

Computational models of algorithmic competition

Interpretable Machine Learning via Rule Extraction

An Open-Source End-to-End Pipeline for Spiral Magnetic Resonance Image (MRI) Reconstruction in Julia

Experimental features for Flux.jl

A Julia package for Generative Topographic Mapping

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Deep Unfolded Convolutional Dictionary Learning for motif discovery.

Warehouse for dynamical systems identification and control

A powerful, no code solution for control and systems engineering

Dynamical systems identification

Monotone Cubic B-Splines (arXiv:2307.01748)

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Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.

Repository that containts climate relevant ML datasets from the Climate Modeling Alliance.

Linear models

A Julia package for robust neural networks.

Scalable and distributed matrix-free abstractions for machine learning and scientific computing

A Julia package to handle multi-dimensional radio interferometric data