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

📊 Computation and processing of models' parameters

A GPU accelerated error-bounded lossy compression for scientific data.

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.

A fast and flexible framework for data reduction in R

Irena, Nika, and Indra SAXS Igor code by Jan Ilavsky

Converts trello data into fast read information

A python histogram object for scientific data-reduction and statistical analysis

Gemini Planet Imager Data Reduction Pipeline

HAPOD - Hierarchical Approximate Proper Orthogonal Decomposition

Pipeline to reduce echelle data (taken with a single or bifurcated fiber input)

Automated SpectroPhotometric Image REDuction (ASPIRED)

Total variation denoising algorithms for 1D data.

A Python port of the popular IDL data reduction package REDUCE.

Python Scripts for Data Reduction and Analysis

A prediction-based data reduction method that exploits LMS adaptive filters in the Internet of Things

🚧 ML algorithms, employing different approaches

QuinCe is an online tool for processing and quality control of data from scientific instruments, with a primary focus on oceanic data.

DRESSCode (Data Reduction of Extended SWIFT Sources Code)

An implementation of SZ lossy compression in Vivado HLS for Xilinx FPGAs.

Tool package for neutron time of flight analysis

Partition relevance analysis with the reduction step

A script used to reduce the data from the MUSE instrument on the VLT

The detection of exolife is one of the most important goals for future space missions. Here we analyse images taken from the moon at the Mt. Stony Brook, to be able to extract the spectra of the Earthshine and detect elements such as water and chlorophyll from Earth. Source code in IDL for data reduction and analysis. ✅ 𝚋𝚢 𝚋𝚝𝟹𝚐𝚕

IDL Data reduction and analysis of many astrophysical pictures obtained from the Stony Brook Mt. Telescope. The object is to study the effects of the Interstellar Dust. ✅ 𝚋𝚢 𝚋𝚝𝟹𝚐𝚕

Data reduction and imaging for select astronomical cameras

The code for Curvature Anomaly Detection (CAD), kernel CAD, inverse CAD (iCAD), and kernel iCAD for anomaly detection and prototype selection. It uses the theory of Polyhedron Curvature or angular defect of polyhedron.

Python function for performing a linear binning (a la Wand and Jones) and optimized for sparsity