Jet operator pack for seismic modeling dependent on WaveFD.jl. Part of the COFII framework.

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A Julia based implementation of Plug and Play Language Models

A Julia package for modelling Algorithmic Recourse Dynamics.

Independent Hypothesis Weighting for multiple testing with side-information in Julia

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Bayesian addition to Flux.jl

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Layerwise Relevance Propagation in Julia.

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A powerful, no code solution for control and systems engineering

Compressed belief-state MDPs in Julia compatible with POMDPs.jl

A package with exported learning networks that combine resampling methods from Imbalance.jl and classification models from MLJ

A Julia package for people that love to learn new things about constraints

A small Julia package to facilitate working with the Trillion Dollar Words dataset.

Subspace Inference package for uncertainty analysis in deep neural networks and neural ordinary differential equations using Julia

Evidential Deep Learning Layers for Flux

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

Optimally tuned ridge regression when features can be partitioned into groups.

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Integrate deep neural network and reverse mode automatic differentiation into Gauss process, have fun !

Monotone Cubic B-Splines (arXiv:2307.01748)

Empirical Bayes shrinkage in Julia

Advanced process control for AutomationLabs

Classification algorithms based on kernel nearest centers

Deep and convolutional neural networks with feedback operations in Flux.

Dynamical systems identification

Lightweight module for fusing physical and neural models

Utilities to test implementations of the MLJ model interface and provide integration tests for the MLJ ecosystem

One package to train them all

(Experimental) Predicting hand assignments in piano MIDI using neural networks

Operator pack for Jets.jl. Part of the COFII framework.

Invariant Causal Prediction in pure Julia

MulticlassPerceptron.jl

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A Julia package for Generative Topographic Mapping

Little helpers for neural networks in the Knet ecosystem

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

Non-critical functions for SeaPearl

A collection of background subtraction algorithms for spectroscopic data