samact Goto Github PK

ashcalc

Python modules for calculating Exponential, Power law and Weibull distributions

casetoolbox

dask

Parallel computing with task scheduling

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

fbhale

FBHALE provides a conceptual multidisciplinary design framework for high altitude long endurance (HALE) aircraft development.

fbhaleto

Trajectory Optimization Toolbox for Solar Powered Aircraft

gganimate

Create easy animations with ggplot2

hawc2wrapper

An OpenMDAO wrapper for the aeroelastic codes HAWC2 and HAWCStab2

jensen3d

Modified Jensen wake model to predict losses in 3D space

mann.rs

A Mann turbulence generator for Python written in Rust

openaerostruct

OpenAeroStruct is a lightweight tool that performs aerostructural optimization using OpenMDAO.

option-writing-calls-using-open-interest

Deciding the strike price for writing options, based on the Open Interest from the option chain data from NSE(National Stock Exchange)

pinnpapers

Must-read Papers on Physics-Informed Neural Networks.

pyact

A repository for Python projects in learning.

pydatview

A crossplatform GUI to plot tabulated data from files (e.g. CSV, Excel, OpenFAST, HAWC2, Flex...), or python pandas dataframes

python4windenergy

This is a repository to gather the teaching material used for the course Python for Wind Energy organised at DTU Wind Energy

ract

A repository for R projects in learning.

rattlesnake

A Python application that does noise cancellation

sphere

i am code

tutorials

Most work here is 95% hard copied as I follow various site or book tutorials.

tweenr

Interpolate your data

vvflow

CFD software for performing flow simulations with Viscous Vortex Domains (VVD) method

windfarmga

R Package to Optimize the Windfarm Layouts

windrose

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

winference

R package to perform statistical inference in generative models using the Wasserstein distance