Valid Discrete-Time Methods for Relaxing pODEs

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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.

Core API of BAT.jl

A Julia package for plotting sequential sampling models

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Bosons/Fermions Superfluid problem with morden tools.

Deep Unfolded Convolutional Dictionary Learning for motif discovery.

Noise modeling

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Pilot library for NLP convolutional nets in Julia

Percival wrapper in Nonconvex.jl

Pavito wrapper in Nonconvex.jl

Wrapper of NOMAD.jl using the Nonconvex.jl API.

NLopt wrapper in Nonconvex.jl.

Multi-start optimization in Nonconvex.jl

Parameter estimation under uncertainty.

Juniper wrapper in Nonconvex.jl

Ipopt wrapper for Nonconvex.jl.

Deep-learning sliding window attention with circular boundary conditions. No tokenization, no patchify-ing.

Constrained Bayesian optimization implementation in Nonconvex.jl

Experimental augmented Lagrangian package.

Matrices with column weights

Direct Gaussian simulation solver for the GeoStats.jl framework

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Kernel functions optimized for 1d input

A package for working with BioVisionHierarchy files (motion capture data)

A Julia package for multiple kernel learning based one-class support vector machine.

Gaussian process models for spatial transcriptomics

Multi-trajectory and local search methods in Nonconvex.jl

Make recurrent layers in Flux much faster

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

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Adds support for parallelization for Taija packages.

Tools for GPs with Kronecker product kernels.

Simple predictive models for tumor growth, and tools to apply them to clinical data

Jet transform operators that depend on FFTW.jl, and Wavelets.jl. Part of the COFII framework.

Julia implementation of AlphaFold 2's Invariant Point Attention

DeepForest Impletmentation in Julia