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Fast implementations of common spiking neural network primitives

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Unfolded convolutional learning for motif discovery

Percival wrapper in Nonconvex.jl

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

Pilot library for NLP convolutional nets in Julia

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Matrices with column weights

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Make recurrent layers in Flux much faster

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

Julia package for recovering stratified spaces underlying point clouds.

This is a dimensionality reduction algorithm which has the goal of maintaining interpretability i.e we eliminate variables directly from potential models that don't seem to add any predictive power.

Parameter estimation under uncertainty.

Julia code of CycleGAN based on pytorch implementation

Self-concordant Smoothing for Large-Scale Convex Composite Optimization

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