Lightweight module of neural differential equations in Kinetic.jl

JutulDarcyRules: ChainRules extension to Jutul and JutulDarcy

A high-performance library for gradient based quantum optimal control

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

Differentiable 2d rasterizer in Julia

Linear models

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A package for wrapping iterative MLJ models in a control strategy

Operator layers for Flux.jl that allow for the construction of Neural Operator models by using Flux's API. Useful for discretization-independent spatio-temporal ML models.

Useful sparse codes

MLJ.jl interface for JLBoost.jl

A Julia package for parameterized convex approximators including parameterized log-sum-exp (PLSE) network.

MLJ.jl interface for JLBoost.jl

Connecting MLJ and MLFlow

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

Fast accurate creation, detection and analysis of quantum vortex distributions.

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Neural-Network Outlier Detection Algorithms for Julia

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

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A Package for Estimating Stochastic Frontier Models using Julia

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

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

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

Julia package for MPI reconstruction

A Julia based implementation of Plug and Play Language Models

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A Julia package for modelling Algorithmic Recourse Dynamics.

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

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

Layerwise Relevance Propagation in Julia.

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Bayesian addition to Flux.jl

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

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

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

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