ClimaCoupler: bringing atmosphere, land, and ocean together

Deep Learning made easy and fast

Differential equation problem specifications and scientific machine learning for common financial models

Accelerate your ML research using pre-built Deep Learning Models with Lux

Geospatial tables compatible with the GeoStats.jl framework

A Julian abstraction layer over FreeType.jl

A Julia wrapper around a PyCall wrapper around the qhull Convex Hull library

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

Neural network training, fast and easy.

A Julia wrapper for the NVIDIA Collective Communications Library.

Simulate quantum systems consisting of many spins interacting via dipole-dipole interaction

Tools for the Simulation and Execution of Quantum Annealing Algorithms

Builds conductance based neural networks iteratively, from ion channels and synapses

Diagnostics for Oceananigans

Julia implementation of Byte Pair Encoding for NLP

Three Dimensional Magnetohydrodynamic(MHD) pseudospectral solvers written in julia with FourierFlows.jl

Geothermal Cloud for Machine Learning

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Statistical standard error estimation tools for correlated data

Julia Package for Financial Monte Carlo Simulations

Your local Flux surgeon

Tidier file reading and writing in Julia, modeled after the readr, haven, readxl, and writexl R packages.

Julia MathML parser

Signal logging and scoping for DifferentialEquations.jl simulations.

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Implicit Runge-Kutta Gauss-Legendre 16th order (Julia)

A tool to solve optimal control problem

Flux reconstruction method for advection-diffusion type physics

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)

Simple differential equation solvers in native Julia for scientific machine learning (SciML)

One stop solutions for all things optimization

Julia package for general many-body exact diagonalization calculation.

Julia Package for computing [controlled] invariant sets of Hybrid Systems using Sum Of Squares Programming

Abstraction layer for spanning factor graphs over various technologies

Tools for simulating organism dispersal

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DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.

Package for Bayesian and classical estimation and inference based on statistics that are filtered through a trained neural net

Functions plot PowerModels networks