TensorNetworkCodes is a Julia library developed to support the following research: https://arxiv.org/abs/2109.11996

Forward and adjoint photoacoustic operators built on top of JUDI which uses DEVITO as backend for solving wave PDE's.

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

A collection of functions to analyze phonetic data

Solutions for combinatorial problems using symbolic methods.

Nippon color generator

Effective parallelism for power flow calculation

Client of distributed ZOOpt in Julia

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Scientific machine learning glacier mass balance models

Julia wrapper for UltraNest: advanced nested sampling for model comparison and parameter estimation

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

JLD support for PyCall objects

BATSRUS/SWMF Data Processor

Official Implementation of Context-Dependent Gene Regulatory Networks (CDGRNs)

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

🍃 coupled leaf gas-exchange model

MOdelica Scripting Tools - scripts that help to interact with modelica models through OMJulia and OMPython

Read and evaluate python in olive!

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

Julia interface for the Python Optimal Transport (POT) library

Julia wrapper for the Data Retriever software

SLIM internal plotting utilities

Subspace Inference package for uncertainty analysis in deep neural networks and neural ordinary differential equations using Julia

Julia macros for logging to Weights & Biases (wandb.ai).

Package allowing tensor calculations in arbitrary coordinate systems.

Effective field theory approach to the electron liquid problem

Lightweight module for fusing physical and neural models

Wynn's Epsilon Algorithm for transforming symbolic SymPy expressions

Package for solving generalized BdG mean field theory of interacting systems.

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Probabilistic inference using the symbolic method.

Julia interface for Easy SimAuto(ESA) and PowerWorld Simulator

A Julia package for solving two-dimensional electromagnetic scattering from numerous particles

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Julia interface to mars and polytope services of ECMWF

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Physics-informed Machine Learning

MultiGrid Barrier method

An implementation of Feynman's variational path integral technique, written in Julia, for the determination of phenomenological properties of the electron in electronic materials.