Empirical Bayes shrinkage in Julia

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)

Julia package for Light Based Tomographic Volumetric Additive Manufacturing.

Neural Networks deals with hardware implementations and simulation in mind

Differential Inequality Algorithms for Parametric ODEs

Dynamical systems identification

Advanced process control for AutomationLabs

Power spectrum inference of irregularly sampled time series using Gaussian Processes in Julia

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Lightweight module for fusing physical and neural models

Deep and convolutional neural networks with feedback operations in Flux.

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Move your models to Knet!

A collection of background subtraction algorithms for spectroscopic data

Little helpers for neural networks in the Knet ecosystem

Molecular backbone geometry utilities

Computational models of algorithmic competition

MulticlassPerceptron.jl

Invariant Causal Prediction in pure Julia

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

Differentiable rasterisation of point clouds in julia

Differentiable, CUDA supported, image rotation algorithm in Julia.

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

A Julia package for Generative Topographic Mapping

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Non-critical functions for SeaPearl

Trigger Package for AMDGPU Support in Lux.jl

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

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

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Abstraction Layer for Dynamic Bounds

Bounds and Relaxations of Parametric Differential Equations

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

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

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

Marginalized log-probability functions in Julia

Data driven acoustic propagation models