NLPModels for dynamic optimization

A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.

A foolproof way of doing ML with GUI elements.

EBIC - a biclustering algorithm in Julia

Julia package for general many-body exact diagonalization calculation.

A time domain electrical energy grid modeling and simulation tool with a focus on the control of power electronics converters

Julia implementation of various electron-correlation methods (main focus on coupled cluster methods).

Boosted trees in Julia

Julia implementation of ADMM solver on multiple GPUs

A Julia package for probability distributions member of the Exponential family

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

Load fasta files that contain DNA strings and process it for other downstream tasks

Accelerated computation of glacial isostatic adjustment for laterally-variable solid-Earth

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Fermi quantum chemistry program

Provide some MPS-based algorithms such as DMRG and TDVP.

3D computer vision library in Julia

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

Distributed Data Parallel Training of Deep Neural Networks

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Flux reconstruction method for advection-diffusion type physics

Data-parallelism on CUDA using Transducers.jl and for loops (FLoops.jl)

Tools for building fast, hackable, pseudospectral partial differential equation solvers on periodic domains

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A Julia package for fusing broadcast expressions into optimized kernels

Maximum Likelihood Gaussian Blob Fitter

Flexible and performant GEMM kernels in Julia

Generative Models with trainable conditional distributions in Julia!

Geometric Deep Learning for Flux

Geophysical fluid dynamics pseudospectral solvers with Julia and FourierFlows.jl.

Geothermal Cloud for Machine Learning

Gila implements free space, frequency domain, electromagnetic Green functions.

Implementation of a GNSSReceiver

Representing machine learning models using mathematical programming

Inspecting GPUs with Julia

A new lightweight package for Deep Learning with Julia

A library for machine learning datasets on graph

GraphNetCore.jl is a software package for the Julia programming language that provides an the core functionality of the MeshGraphNets.jl package. Some parts are based on the implementation of the MeshGraphNets framework by Google DeepMind for simulating mesh-based physical systems via graph neural networks.

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Julia implementation of the Gumbel-Softmax reparametrization trick compatible with Zygote and ForwardDiff