A powerful, no code solution for control and systems engineering

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

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

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Advanced process control for AutomationLabs

Dynamical systems identification

Deep and convolutional neural networks with feedback operations in Flux.

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

One package to train them all

Monotone Cubic B-Splines (arXiv:2307.01748)

Lightweight module for fusing physical and neural models

Classification algorithms based on kernel nearest centers

Empirical Bayes shrinkage in Julia

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

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

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

A Julia package to handle high dimensional astronomy image data sets for radio interferometry

Computational models of algorithmic competition

A Julia package for Generative Topographic Mapping

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

Invariant Causal Prediction in pure Julia

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

A collection of background subtraction algorithms for spectroscopic data

Non-critical functions for SeaPearl

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MulticlassPerceptron.jl

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Little helpers for neural networks in the Knet ecosystem

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

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Ecosystem of numerical methods for microbial kinetics data analysis, from preprocessing to result interpretation.

A Julia package for visualizing of Method of Moments (MoM) and Multi-level Fast Multipole Algorithm (MLFMA).

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

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Easy way to use public outlier detection datasets with Julia

Test Toolkit for Outlier Detection Algorithms

Generate checklists and flow diagrams based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)