Statistical bootstrap procedures for time-series data

Causal Inference with Invariant Prediction

Parser of PSS/E-format Power Flow Raw Data Files (.raw)

Extreme value analysis package for Julia

Deep Learning made easy and fast

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Implementations of algebraic rewriting techniques like DPO, SPO, SqPO.

A simple weather app for the Julia REPL

Collection of artificial data generators in julia

Convenience functions missing in Julia

Geothermal Cloud for Machine Learning

Diagnostics for Oceananigans

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

A Julia wrapper for the NVIDIA Collective Communications Library.

Neural network training, fast and easy.

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

A Julia Package for Machine Learning on the Manifold of Positive Definite Matrices

GATlab: a computer algebra system based on generalized algebraic theories (GATs)

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

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

A playground for evolutionary computation in Julia

Financial AI with Julia

Capacity Expansion Problem Formulation for Julia

OpenMendel package for haplotyping and imputation

A tool to solve optimal control problem

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

CurricularAnalytics.jl is a toolbox for studying and analyzing academic program curricula.

Your local Flux surgeon

A Julia package for computing processes related to plant ecophysiology and biophysics

A Julia package for working with ICESat-2 & GEDI data as part of my PhD research

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A package for reading, writing and visualizing mesh data, and interfacing with Python's VTK.

Julia Package for Generating Scenario Trees and Scenario Lattices for Multistage Stochastic Optimization

Benchmark tools for solvers

Random Integrators for many-body quantum systems

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

Functions plot PowerModels networks

Tools for simulating organism dispersal

Iterative hard thresholding for l0 penalized regression

Analysis, processing, and simulation of data generated by scientific robots in the Ocean.