Main Package for IO, loading all different kind of files
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Updated
May 20, 2024 - Julia
Julia is a high-level dynamic programming language designed to address the needs of high-performance numerical analysis and computational science. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.
Main Package for IO, loading all different kind of files
Thesis for the Computational Science Master's program at Central Washington University. 3D extension of an analog of cosmological particle creation in a Friedmann-Robertson-Walker universe by numerically simulating a Bose-Einstein condensate with a time-dependent scattering length.
Collecting and maintaining crucial Julia package data, including Names, UUIDs, and download statistics, for enhanced accessibility, insight, and discoverability.
Mitochondria Retrograde (RTG) Signalling model
Mathematical Modeling for Systems Biology
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
A framework for applied category theory in the Julia language
ABM examples in Julia
DataFrame examples by Bogumił Kamiński, rendered in Jupyter-book
Solving Universal Differential Equations in Julia
Template for running Julia code in Jupyter Book
Finite Element tools in Julia
A Julia package for disciplined convex programming
Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia
A Julia machine learning framework
A package to generate Verilog/SystemVerilog code on Julia.
Finite element toolbox for Julia
Computational algebraic number theory
Created by Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman
Released February 14, 2012