Dolo modeling language

A set of tools for analyzing molecular dynamics simulations

SymPy with PythonCall backend (not PyCall)

Julia wrapper of AWSBraket schema and REST API

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Reinforcement learning, compositionally

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COnstraint Based Reconstruction and EXascale Analysis (in Julia)

A smart PkgServer 🎉

Julia package providing access to the Fama-French data available on the Ken French Data Library

Adds the common API onto ODEInterface classic Fortran methods for the SciML Scientific Machine Learning organization

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Package for parsing XBRL

Drill hole utilities for the GeoStats.jl framework

LearningHorse.jl is the ML library for JuliaLang.

This package contains a convenient analysis and visualization pipeline for simple dynamical models of neurons and networks of neurons.

Amaru - Finite element library

Simple Gross-Pitaevskii Equation solver using FFTW

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Control for rigid body dynamical systems in maximal coordinates

Memory efficient seismic inversion via trace estimation

A package of FlightSims.jl family for ROS2.

Calculate regressions and abnormal returns for large return datasets quickly

A three-way bridge between ExpressionTreeForge.jl, PartitionedStructures.jl and PartiallySeparableSolvers.jl

Julia package for solving dynamic programming problems

Implements the Neural Quantum State algorithm for Julia.

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Indexes for image quality assessment

Simulation and Optimization Library for Integrated Optics in Julia.

1d and 3d models of the atmosphere for the simulation of airborne wind energy systems

Make many plots from an iterable

Multivariate (generalized) scattered data interpolation with symmetric (conditionally) positive definite kernel functions in arbitrary dimension

Core algorithms for equation-based modeling

Accelerated computation of glacial isostatic adjustment for laterally-variable solid-Earth

Game Theoretic Planning

Quantum many body systems with Pauli strings

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Binary IO for the cosmological Tree-SPH code Gadget

Enlsip.jl is the Julia version of a Fortran77 optimization library designed to solve nonlinear least squares problems under general nonlinear constraints.