Makie visualization module for TopOpt.jl

Collection of Functions useful for testing various packages in the Lux Ecosystem

An adapter package that implements Lighthouse's framework interface for Flux

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

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A small package for differentiable discontinuities in Julia.

Data structures for graph neural network

A reverse McCormick operator library

Compute solar radiation and generate sky domes for VPL

Draw simple Flux neural networks using TikZ

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.

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

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Parameter estimation under uncertainty.

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Visualization of 3D meshes

Ray tracing of 3D meshes (not for visualization)

Pilot library for NLP convolutional nets in Julia

Julia code of CycleGAN based on pytorch implementation

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.

Fast implementations of common spiking neural network primitives

Character level tokenizers for sequence data

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DeepForest Impletmentation in Julia

Make recurrent layers in Flux much faster

Self-concordant Smoothing for Large-Scale Convex Composite Optimization

Unfolded convolutional learning for motif discovery

Julia package for recovering stratified spaces underlying point clouds.

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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