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.

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Julia code of CycleGAN based on pytorch implementation

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

Self-concordant Smoothing for Large-Scale Convex Composite Optimization

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Pilot library for NLP convolutional nets in Julia

Make recurrent layers in Flux much faster

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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

The command-line interface of Express.jl

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.

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Explores representations based on bag words

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