Integrated Assessment Modeling Framework

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Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.

Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.

Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

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

A flexible neural net training library inspired by fast.ai

Genome-wide association studies (GWAS) for ordered categorical phenotypes

Darcy flow and reservoir simulator based on Jutul.jl

Experimental framework for automatic differentiation finite-volume simulators

Export Julia profiles to the pprof format

A kRPC client for Julia

Parsers and processing for geoenergy data file formats in Julia.

Repository of best practices for deep learning in Julia, inspired by fastai

Population Genetics in Julia

A Julia library for fitting DDMs to pulse-based evidence accumulations task data

Easy peasy logging to TensorBoard with Julia

Julia protobuf implementation

Julia hybrid constraint programming solver enhanced by a reinforcement learning driven search.

Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.

[DEPRECATED] Bioinformatics and Computational Biology Infrastructure for Julia

A fast and modular Julia implementation of the macroeconomic ABM of [Poledna et al., European Economic Review (2023)]

DEcomposition and Component Analysis of Exponential Signals (DECAES) - a Julia implementation of the UBC Myelin Water Imaging (MWI) toolbox for computing voxelwise T2-distributions of multi spin-echo MRI images.

DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

Elastic Full Waveform Inversion for Subsurface Flow Problems Using Intrusive Automatic Differentiation

A Julia wrapper for TensorFlow

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Variable Selection with Knockoffs

OpenMendel package for haplotyping and imputation

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Compressed storage for SNP data

Neural network training, fast and easy.

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Optimization for the Mimi.jl modeling framework

Battery modelling using Jutul.jl and BattMo in MRST

Automatic Differentiation Library for Computational and Mathematical Engineering

FMIZoo.jl is a collection of testing and example FMUs (fmi-standard.org) for the Julia libraries FMI.jl and FMIFlux.jl.

An easy to use Flux implementation of the Kolmogorov Arnold Network. This is a Julia version of TorchKAN.

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