Scalable symbolic-numeric set computations in Julia

High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.

Fast Estimation of Linear Models with IV and High Dimensional Categorical Variables

A common interface for quadrature and numerical integration for the SciML scientific machine learning organization

Grid-based simulations in Julia

Graph Neural Networks in Julia

Bayesian Networks for Julia

Abstract types and methods for Gaussian Processes.

A Julia wrapper for libpq

Financial market technical analysis & indicators in Julia

Algorithms inspired by graph Laplacians: linear equation solvers, sparsification, clustering, optimization, etc.

Tidier data visualization in Julia, modeled after the ggplot2 R package.

A library of data interpolation and smoothing functions

Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications

Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.

Julia package registration bot

Julia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA) in a SciML scientific machine learning enabled manner

Raster manipulation for the Julia language

Reservoir computing utilities for scientific machine learning (SciML)

Serving JS to the browser

Julia wrapper for the ArrayFire library

Abstractions, algorithms, and utilities for reinforcement learning in Julia

Performant arrays where each dimension can have a named axis with values

Implementation of normalising flows and constrained random variable transformations

Hyperparameter optimization in Julia.

Research package for automatic differentiation of programs containing discrete randomness.

A Bayesian Analysis Toolkit in Julia

Clapeyron provides a framework for the development and use of fluid-thermodynamic models, including SAFT, cubic, activity, multi-parameter, and COSMO-SAC.

Solution of nonlinear multiphysics partial differential equation systems using the Voronoi finite volume method

Julia wrappers of SymEngine

LowRankModels.jl is a julia package for modeling and fitting generalized low rank models.

Computing reachable states of dynamical systems in Julia

Causal inference, graphical models and structure learning in Julia

This library uses the LaTeX package pgfplots to produce plots.

Tools for the exploration of chaos and nonlinear dynamics

A Julia package for fast discrete wavelet transforms and utilities

A set of functions to support the development of machine learning algorithms

Robust robotic localization and mapping, together with NavAbility(TM). Reach out to info@wherewhen.ai for help.

Package for the quantum computation and quantum simulation based on the neutral-atom architecture.

A Julia package for solving systems of polynomials via homotopy continuation.