Implementation of Transitional Markov Chain Monte Carlo (TMCMC) in Julia.

Solver for 1D nonlinear partial differential equations in Julia based on the collocation method of Skeel and Berzins and providing an API similar to MATLAB's pdepe

A flexible toolkit for simulation based inference in Julia

Simple Julia Lattice Boltzmann Solver for Thin Liquid Films and Droplets, approximating the thin film equation.

Julia code for nuclear shell-model calculations

Macros to define custom adjoints for TensorOperations.jl

Test particle tracing in electromagnetic field

Coloring algorithms for sparse Jacobian and Hessian matrices

A general interface for symbolic indexing of SciML objects used in conjunction with Domain-Specific Languages

Julia Wrappers for SoapySDR

Train a spiking recurrent neural network

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

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

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

CUDA integration for the NNlib API

Modern Hopfield layer implementations in Julia

Structure-preserving numerical methods for dispersive shallow water models

Learning Dynamic Movement Primitives in Julia

Interactive examples for different geodynamic problems

Reduced basis methods for parametrised eigenproblems

Julia implementation of the bond graph framework

A Julia client for the JuliaHub platform

Package to build Cases for Power Systems Modeling

Ecosystem for writing partial differential equation solvers

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A new lightweight package for Deep Learning with Julia

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

Library for the numerical simulation of open quantum systems.

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

Storing and accessing large Julia array locally or in cloud storage without server.

Drift diffusion simulator for semiconductor devices

A Julia package for Interpretable Compositional Networks (ICN), a variant of neural networks, allowing the user to get interpretable results, unlike regular artificial neural networks.

Julia dashboard for analysis of cryptocurrency market data

Exact reduction of ODE models via linear transformations

Julia client for connecting to FHIR (Fast Healthcare Interoperability Resources) servers and building SMART on FHIR applications

A library for machine learning datasets on graph

A modular hydrodynamic code written in pure Julia

Implementation of Integral Probability Measures in Julia

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