MortenGrum

MortenGrum's Stars

• getgrav/grav

  Modern, Crazy Fast, Ridiculously Easy and Amazingly Powerful Flat-File CMS powered by PHP, Markdown, Twig, and Symfony

  Language:PHP14.5k3403k1.4k

• curlconverter/curlconverter

  Transpile curl commands into Python, JavaScript and 27 other languages

  Language:TypeScript7.4k74311914

• ankane/chartkick

  Create beautiful JavaScript charts with one line of Ruby

  Language:Ruby6.3k103523565

• ankane/ahoy

  Simple, powerful, first-party analytics for Rails

  Language:Ruby4.2k56426375

• maziarraissi/PINNs

  Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

  Language:Python3.7k115541.2k

• danielegrattarola/spektral

  Graph Neural Networks with Keras and Tensorflow 2.

  Language:Python2.4k45275334

• whomwah/rqrcode

  A Ruby library that encodes QR Codes

  Language:Ruby1.9k3160238

• matt-42/lithium

  Easy to use C++17 HTTP Server with no compromise on performances. https://matt-42.github.io/lithium

  Language:C++1.3k446190

• dbohdan/sqawk

  Like awk but with SQL and table joins

  Language:Tcl310191514

• pyswmm/pyswmm

  Python Wrappers for SWMM

  Language:Python28629265135

• joshuaulrich/xts

  Extensible time series class that provides uniform handling of many R time series classes by extending zoo.

  Language:R2202438371

• Raocp/PINN-laminar-flow

  Physics-informed neural network for solving fluid dynamics problems

  Language:Python1767549

• levimcclenny/SA-PINNs

  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]

  Language:Python16311836

• tomkra/font_awesome5_rails

  font_awesome_5_rails is font awesome 5 gem bundled for rails asset pipeline

  Language:SCSS15924325

• pyswmm/swmmio

  Python tools for interacting with, editing, and visualizing EPA SWMM5 models

  Language:Python1231012741

• dleutnant/influxdbr

  R Interface for InfluxDB

  Language:R9596134

• CIMM-ORG/SWMM5plus

  Prototype Fortran 2008 engine for the EPA Storm Water Management Model (SWMM)

  Language:Fortran29818