Feynman's variational path-integral model for the Fröhlich polaron. Calculates temperature dependent polaron mobilities, and other polaron observables.

Kohonen's self-organising maps for Julia

MHLib.jl - A Toolbox for Metaheuristics and Hybrid Optimization Methods in Julia

Fast operator-overloading Jacobian & Hessian sparsity detection.

A Julia package for working with B-splines

Delay coordinates embeddings and optimizing them

Boson sampling tools for Julia

🌎 Tools for realistic regional-to-global ocean simulations, and coupled ocean + sea-ice simulations based on Oceananigans and ClimaSeaIce. Basis for the ocean and sea-ice component of CliMA's Earth system model.

Much faster than BigFloat at precisions up to 3,500 bits (1050 digits)

A set of tools to quickly generate and visualize autonomous driving scenarios for Algames.jl.

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

Statistical bootstrap procedures for time-series data

Thin, efficient wrapper around Arb library (http://arblib.org/)

Complex phase portraits for Julia.

ClimaCoupler: bringing atmosphere, land, and ocean together

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

Quasi-Monte-Carlo numerical computation of multivariate normal probabilities

Julia package for fitting mixed-effects models with flexible random/repeated covariance structure.

Geospatial tables compatible with the GeoStats.jl framework

A Julia/JuMP Package for Maximizing Algebraic Connectivity of Undirected Weighted Graphs

Nodes and modes for high order finite element methods

Ternary/simplex plotting recipe/addon for Plots.jl

Commonly used test images

Accurate and fast tight-binding calculations, using pre-fit coefficients and three-body terms.

Causal Inference with Invariant Prediction

Naive Bayes classifier

Deep Learning made easy and fast

Specialized tools for MRI

Extreme value analysis package for Julia

Julia package for the plotting of plane curves and surfaces

Automates adjoints. Forward and reverse mode algorithmic differentiation around implicit functions (not propagating AD through), as well as custom rules to allow for mixed-mode AD or calling external (non-AD compatible) functions within an AD chain.

Functions for declaring and working with grammars and expression trees in Julia.

The weaving paper strips: shape optimization by geometric elasticity

Powerflow for unbalanced three-phase power distribution systems with distributed generation

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

Statically sized tensors and related operations for Julia

Provide `sound` & `record` functions for playing & recording audio in Julia. Also Julia version of phase vocoder.

Motif-based weighted spectral clustering in Python, R and Julia

Three-dimensional panel method for low-speed aerodynamics

Stochastic delay differential equations (SDDE) solvers for the SciML scientific machine learning ecosystem