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.

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.

Explores representations based on bag words

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Julia implementation of AlphaFold 2's Invariant Point Attention

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

Julia code of CycleGAN based on pytorch implementation

DeepForest Impletmentation in Julia

Unfolded convolutional learning for motif discovery

Self-concordant Smoothing for Large-Scale Convex Composite Optimization