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Fast implementations of common spiking neural network primitives

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ParticleHolography.jl: Holographic particle measurement in Julia.

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

Unfolded convolutional learning for motif discovery

DeepForest Impletmentation in Julia

Simulating quantum computing verification

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Julia code of CycleGAN based on pytorch implementation

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.

FFT solvers in Julia language

Tensor decomposition algorithms

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Convenience wrappers to incomplete factorizations from CUSPARSE to be used for iterative solvers of sparse linear systems on the GPU

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Type for fast updating of correlation functions

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

Various closures models (closure -> seal -> seal 🦭 -> walrus) for ocean flavoured fluid dynamics

Percival wrapper in Nonconvex.jl

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

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Fast, accurate, and flexible spectral analysis for compressible quantum fluids

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.

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

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

Explores representations based on bag words