Supplemental Materials for the article "pyDRMetrics - A Python Toolkit for Dimensionality Reduction Quality Assessment" File list: src/pyDRMetrics.py - the main module src/other py files - dependent modules data/ovarian-cancer-nci-pbsii-data-no-header.csv - SELDI-TOF-MS dataset used in the case stduy. 253 samples. Each sample has 15154 dimensions. data/cancer.csv - A subset of ovarian-cancer-nci-pbsii-data containing 10 normal and 10 cancer samples. DOI: 10.1016/S0140-6736(02)07746-2 data/digits.csv - 40 samples from the MNIST handwritten digits dataset. URL: http://yann.lecun.com/exdb/mnist/ data/raman.csv - Another dataset containing the Raman spectra of 46 infant formula milk powder samples. DOI: 10.1016/j.talanta.2019.120681 notebook...
Jupyter notebooks and scripts for: LEIST, Christopher, et al. Deep-Learning Pipeline for Statistical...
The dataset used in the paper "quanfima: An open source Python package for automated fiber analysis ...
This dataset contains additional data for the publication "A Deep Dive into Machine Learning Density...
Supplemental Materials for the article "pyDRMetrics - A Python Toolkit for Dimensionality Reduction ...
working with multidimensional NMR data, is described. When used in combination with other Python sci...
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for st...
Raman Spectra Dataset of Compressed Milk Tablet Candy, with Calcium and Vitamin A,D additives File ...
Python Diffraction Data Analysis Suite (pydidas) which merges toolkits and tries to supply broad fun...
Supplemental Materials for the article "pyCLAMs: an integrated python toolkit for classifiability an...
pybaselines is a Python library that provides many different algorithms for performing baseline corr...
This data set contains both the source data and code used to generate figures and establish the conc...
This dataset supports the publication 'Elastocapillary menisci mediate interaction of neighboring st...
This is the data provided in the article "Code Comparison for Fast Flavor Instability Simulation". T...
This folder contains both data and Python code to reproduce the set of exhibits included in the manu...
This dataset contains source codes and workflow for the manuscript "Glutathione dynamics is a poten...
Jupyter notebooks and scripts for: LEIST, Christopher, et al. Deep-Learning Pipeline for Statistical...
The dataset used in the paper "quanfima: An open source Python package for automated fiber analysis ...
This dataset contains additional data for the publication "A Deep Dive into Machine Learning Density...
Supplemental Materials for the article "pyDRMetrics - A Python Toolkit for Dimensionality Reduction ...
working with multidimensional NMR data, is described. When used in combination with other Python sci...
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for st...
Raman Spectra Dataset of Compressed Milk Tablet Candy, with Calcium and Vitamin A,D additives File ...
Python Diffraction Data Analysis Suite (pydidas) which merges toolkits and tries to supply broad fun...
Supplemental Materials for the article "pyCLAMs: an integrated python toolkit for classifiability an...
pybaselines is a Python library that provides many different algorithms for performing baseline corr...
This data set contains both the source data and code used to generate figures and establish the conc...
This dataset supports the publication 'Elastocapillary menisci mediate interaction of neighboring st...
This is the data provided in the article "Code Comparison for Fast Flavor Instability Simulation". T...
This folder contains both data and Python code to reproduce the set of exhibits included in the manu...
This dataset contains source codes and workflow for the manuscript "Glutathione dynamics is a poten...
Jupyter notebooks and scripts for: LEIST, Christopher, et al. Deep-Learning Pipeline for Statistical...
The dataset used in the paper "quanfima: An open source Python package for automated fiber analysis ...
This dataset contains additional data for the publication "A Deep Dive into Machine Learning Density...