Train a spiking recurrent neural network

🧊 Coupled and stand-alone simulations of sea ice for Earth system modeling

Reduced basis methods for parametrised eigenproblems

CUDA integration for the NNlib API

Library for the numerical simulation of open quantum systems.

A library for machine learning datasets on graph

Julia package with several functions to train and analyze Autoencoder-based neural networks

Experimental features for Flux.jl

Adaptive stress testing of black-box systems within POMDPs.jl

Tools for general Tight Binding systems

Protein ribbon plots implemented in Julia using Makie

Simulations of cosmological scalar fields

Implementation of Integral Probability Measures in Julia

ADRIA: Adaptive Dynamic Reef Intervention Algorithms. A multi-criteria decision support platform for informing reef restoration and adaptation interventions.

Collection of layers that can perform arithmetic operations

Graph-building for AtomicGraphNets

Sklearn Interface and Distributed Training for Flux.jl

A Tensor Network Library (TenNetLib.jl) built on top of ITensors.jl for quantum many-body problems.

Approximate the product between infinite functional objects on a manifold -- i.e. belief products

Libint2 interface to Julia

TensorKit extension for reading in categorical data.

The Juice package for circuits in artificial intelligence, both logic and probabilistic

Text preprocessing library with framework for composable tokenizations

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A high-performance library for gradient based quantum optimal control

NLPModels for dynamic optimization

Fast, gpu-accelerated distance transforms

Lightweight module of neural differential equations in Kinetic.jl

JutulDarcyRules: ChainRules extension to Jutul and JutulDarcy

A Julia package for behavioural modeling

Julia library for visualization and annotation medical images, specialized particularly for rapid development segmentation of 3 dimensional images like CT or PET/CT scans. Has full support of nuclear medicine Data.

Operator layers for Flux.jl that allow for the construction of Neural Operator models by using Flux's API. Useful for discretization-independent spatio-temporal ML models.

A package for wrapping iterative MLJ models in a control strategy

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Linear models

Optimal experimental design of ODE and DAE systems in julia

Differentiable 2d rasterizer in Julia

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Julia wrapper for Devito functionality. Part of the COFII framework.