Modern Hopfield layer implementations in Julia

Ecosystem for writing partial differential equation solvers

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Interactive examples for different geodynamic problems

Structure-preserving numerical methods for dispersive shallow water models

The base package for Optimization.jl, containing the structs and basic functions for it.

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

Measures (metrics) for statistics and machine learning

Julia Wrappers for SoapySDR

Train a spiking recurrent neural network

Propagate waves efficiently, optically, physically, differentiably with Julia Lang.

Lrs wrapper module for Julia

A differentiable parametrization of a group of unitary matrices.

Learning Dynamic Movement Primitives in Julia

Simple visualization for the RigidBodyDynamics.jl library

WGPU bindings (Alias for WGPU_jll without JLLWrappers)

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Organize Scanning Probe Microscopy (SPM, STM, AFM) Images and Spectra.

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

Population data analysis in Julia

A small step for dynamics, a giant leap for SciML

EHT Image domain analysis through template matching.

Plot recipe for plotting (decision) trees

Exact reduction of ODE models via linear transformations

A generic and fast solver of mode-coupling theory-like integrodifferential equations

Orbital dynamics and waveforms for binary black-hole systems, in the post-Newtonian approximation

A Julia library of positivity-preserving time integration methods

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

A flexible Julia toolkit for high-dimensional cellular profiles

A Julia package for estimating phylogenetic networks from genomic data

An easy to use Julia framework for agent based modeling.

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Symbolics-based function property propagation for optimization

ProToPortal: The Portal to the Magic of PromptingTools and Julia-first LLM Coding

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Experimental features for Flux.jl

Julia GARCH package

FreeType 2 bindings for Julia

Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning