milancurcic

Milan Curcic's repositories

neural-fortran-paper

Paper describing neural-fortran

Language:TeX8 50

papers

Publications I have (co)authored, without the paywall

8 50

http-client

HTTP client library for Fortran

Language:FortranMIT2 20

stdlib

Fortran Standard Library

Language:FortranMIT2 20

clouddrift

Project aims at accelerating the use of Lagrangian data for atmospheric, oceanic, and climate sciences

Language:PythonMIT1 20

spotter-data-archive

A repo for getting started with the Sofar Spotter data archive using Python.

Apache-2.01 10

assert

A simple yet slightly non-obvious assertion utility for Fortran 2018

Language:FortranBSD-3-Clause020

A Fortran-based feed-forward neural network library. Whilst this library currently has a focus on 3D convolutional neural networks (CNNs), it can handle most standard hidden layer forms of neural networks, with the plan to integrate more.

Language:FortranMIT000

benchmark

https://gensoukyo.me/benchmark/

Language:Fortran020

clouddrift-examples

Example notebooks for the CloudDrift library

Language:Jupyter NotebookMIT020

COARE-algorithm

Repository of the COARE bulk air-sea flux algorithm in python, matlab, and fortran.

Language:FortranMIT010

connectivity-modeling-system

The CMS is a multiscale stochastic Lagrangian framework developed by Paris' Lab at the Rosenstiel School of Marine, Atmospheric & Earth Science to study complex behaviors, giving probabilistic estimates of dispersion, connectivity, fate of pollutants, and other Lagrangian phenomena. This repository facilitates community contributions to CMS modules

Language:FortranGPL-3.0010