Optimization framework for nonlinear, gradient-based constrained, sparse optimization problems.

Astronomical coordinate systems in Julia

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

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

Injecting statistical functions into any SQLite database in Julia

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

Image inpainting algorithms in Julia

Julia package of regularization functions for machine learning

🌎 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.

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Probability bounds analysis in Julia

The weaving paper strips: shape optimization by geometric elasticity

Fixed Point Acceleration for Julia

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

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

Specialized tools for MRI

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

Causal Inference with Invariant Prediction

Geospatial tables compatible with the GeoStats.jl framework

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

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

Statistical bootstrap procedures for time-series data

Statically sized tensors and related operations for Julia

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

Julia package for the plotting of plane curves and surfaces

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

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.

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

Quasi-Monte-Carlo numerical computation of multivariate normal probabilities

Naive Bayes classifier

Deep Learning made easy and fast

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

Complex phase portraits for Julia.

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

Commonly used test images

Nodes and modes for high order finite element methods

Project Management tools, with a particular focus on PERT charts

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

Extreme value analysis package for Julia

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