There are 4 repositories under data-reduction topic.
Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
:bar_chart: Computation and processing of models' parameters
A GPU accelerated error-bounded lossy compression for scientific data.
A fast and flexible framework for data reduction in R
Automated SpectroPhotometric Image REDuction (ASPIRED)
https://dodiku.github.io/audio_noise_clustering/results/ ==> An experiment with a variety of clustering (and clustering-like) techniques to reduce noise on an audio speech recording.
Irena, Nika, and Indra SAXS Igor code by Jan Ilavsky
Ziggy, a portable, scalable infrastructure for science data processing pipelines, is the child of the Transiting Exoplanet Survey Satellite (TESS) pipeline and the grandchild of the Kepler Pipeline.
Converts trello data into fast read information
A Snakemake workflow for Fermi-LAT data reduction
👾 interstellar dust data reduction and analysis obtained from the stony brook mt. telescope
Pipeline to reduce echelle data (taken with a single or bifurcated fiber input)
👾 detection of exolife is one of the most important goals for future space missions - this research was performed at the mt. stony brook
DRESSCode (Data Reduction of Extended SWIFT Sources Code)
Gemini Planet Imager Data Reduction Pipeline
A prediction-based data reduction method that exploits LMS adaptive filters in the Internet of Things
Tool package for neutron time of flight analysis
QuinCe is an online tool for processing and quality control of data from scientific instruments, with a primary focus on oceanic data.
The ASTROnomical POlarimetry and Photometry pipeline
An implementation of SZ lossy compression in Vivado HLS for Xilinx FPGAs.
This is the accompanying code repository for the AISTATS 2022 publication p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets by Alexander Munteanu, Simon Omlor and Christian Peters.
A Python implementation of RSLDA (paper "Robust Sparse Linear Discriminant Analysis").
The code for Principal Sample Analysis (PSA) for prototype selection and instance ranking
Algorithms for Data Science
Portable Accelerator Implementation of SZ Lossy Compressor for Scientific Data Using Kokkos