Forked Successor to github.com/JuliaFolds/FLoops.jl

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Data structures for graph neural network

An easy to use Flux implementation of the Kolmogorov Arnold Network. This is a Julia version of TorchKAN.

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

Julia package for microstructure imaging

Base package that ships symbols and functionality that is relevant to all or multiple packages in the ecosystem

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

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

Differentiable tree-based models for tabular data

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

Representing machine learning models using mathematical programming

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

Layerwise Relevance Propagation in Julia.

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Adds support for parallelization for Taija packages.

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A decision-making framework for the cost-efficient design of experiments, balancing the value of acquired experimental evidence and incurred costs.

Explores representations based on bag words

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

A package for plotting custom symbols from Taija packages.

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Connecting MLJ and MLFlow

Scalable nonparametric clustering with unified marker gene selection for single-cell RNA-seq data

Julia implementation of AlphaFold 2's Invariant Point Attention

A Julia toolbox with resampling methods to correct for class imbalance.

SMLMBoxer.jl is a Julia package that provides a fast and efficient method for detecting particles or blobs in a multidimensional image stack and cutting out sub-regions around local maxima.

Structural Similarity Index Measure loss function for use with AD systems in Julia

A high-performance library for gradient based quantum optimal control

Data driven acoustic propagation models

Self-concordant Smoothing for Large-Scale Convex Composite Optimization

Measures (metrics) for statistics and machine learning

A Julia package for building production-ready measures (metrics) for statistics and machine learning

Julia package with several functions to train and analyze Autoencoder-based neural networks

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

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

MPI based parallel for method of moments (MoM) and MLFMA (https://github.com/deltaeecs/MoM_AllinOne.jl.jl)

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

Julia package for "Degrees of Freedom: Search Cost and Self-consistency"