burn-research/PCAfold burn-research/PCAfold

  • Stars
    star
    5
  • Rank 2,861,937 (Top 57 %)
  • Language
    Python
  • License
    MIT License
  • Created almost 3 years ago
  • Updated almost 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
burn-research/PCAfold
github

burn-research

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

PCAfold is an open-source Python library for generating, analyzing and improving low-dimensional manifolds obtained via Principal Component Analysis (PCA).

More Repositories

1

OpenMORe

Python libraries for model order reduction, clustering and data analysis.
Python
11
star
2

reduced-order-modelling

Collection of Matlab functions for Reduced-Order Modelling (ROM) of combustion data sets.
MATLAB
7
star
3

FiReSMOKE

FiReSMOKE, a collection of finite-rate chemistry solvers for combustion simulations for OpenFOAM
C++
7
star
4

data-driven-engineering-course2024

Jupyter Notebook
5
star
5

plotting

Collection of Matlab functions for plotting scientific results.
MATLAB
5
star
6

OptiSMOKE_toolbox

Toolbox for optimization of global, skeletal and detailed kinetic mechanisms
C++
4
star
7

data-driven-engineering-course2023

Jupyter Notebook
4
star
8

NetGEN

Automatic generation of Chemical Reactor Networks from CFD data
MATLAB
2
star
9

ERCOFTAC-exercises

Jupyter Notebook
2
star
10

ercoftac2023-workshop

Jupyter Notebook
1
star
11

OpenMEASURE

Python libraries for soft sensing applications.
Python
1
star
12

data-export_toolbox

Python
1
star