High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data

Julia electrical engineering package

Easy to use plotting for control engineers and students

Julia implementation of the ISOKANN algorithm for the computation of invariant subspaces of Koopman operators

Express: a high-level, extensible workflow framework for accelerating ab initio calculations for the materials science community

Amaru - Finite element library

Software and high-level API for offline, low latency and secure translation of human speech to computer commands or text on Linux, MacOS and Windows

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

BATSRUS/SWMF Data Processor

Simulators for kite power systems

Visualization tools for Clawpack simulations with the Julia language

Lightweight module for fusing physical and neural models

Lightweight module of physical formulations in Kinetic.jl

Julia package for building synthetic power grids

Stochastic Optimization, Learning, Uncertainty and Sampling

Solutions for combinatorial problems using symbolic methods.

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Julia framework for energy system models with a focus on multi-period capacity expansion

Automated Bayesian model discovery for time series data

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

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language

A Julia wrapper for TensorFlow

Pipeline for debiasing and improving error bar estimates for photometry on top of structured/filamentary background.

Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.

Julia interface to GAlgebra via PyCall

Automatic Differentiation Library for Computational and Mathematical Engineering

Julia interface for SciPy

Julia Devito inversion.

Julia package for ice floe tracker

Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/

Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

Julia interface to SymPy via PyCall

MultiGrid Barrier method

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Julia interface for MIPLearn, an extensible framework for Learning-Enhanced Mixed-Integer Optimization

Create ensembles of machine learning models from scikit-learn, caret, and julia

🌾 declarative crop modeling framework

ODS (LibreOffice, OpenOffice and many more..) I/O for Julia using the python ezodf module

Antenna data import and processing.