Adds support for parallelization for Taija packages.

Self-concordant Smoothing for Large-Scale Convex Composite Optimization

Fast implementations of common spiking neural network primitives

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

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Julia package for recovering stratified spaces underlying point clouds.

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

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

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

Julia implementation of AlphaFold 2's Invariant Point Attention

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Make recurrent layers in Flux much faster

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Character level tokenizers for sequence data

Percival wrapper in Nonconvex.jl

Pilot library for NLP convolutional nets in Julia

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

Parameter estimation under uncertainty.

Matrices with column weights

DeepForest Impletmentation in Julia

Unfolded convolutional learning for motif discovery

Explores representations based on bag words

Visualization of 3D meshes

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

🤗 diffusers, but in Julia (and with worse code) !

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Ray tracing of 3D meshes (not for visualization)

Additional layers and functions for Flux.jl.

[WIP] Wrapper package for simulation and bayesian inference of behavioral models

Data structures for graph neural network

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