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Browse the latest algorithms, datasets, and tools contributed by the global chemometrics community. Find resources, share your work, and stay updated.
Jchemo is a Julia package for regression, classification and preprocessing developed for chemometrics but useful across various data analysis tasks.
Normalizes an input matrix using various norms and dimensions for flexible data scaling.
Plots correlation map with values to make interpretation easier.
Removes Rayleigh and Raman scatter from fluorescence EEM data
Merging and fusing multiple calibration models optimally
Performs binning on an N-dimensional array.
Autoscale standardizes data by centering it to zero mean and scaling it to unit variance.
Interval Correlation Optimized Shifting (iCOshift) for fast, robust signal alignment across samples.
It implements all-at-once model for coupled matrix and tensor analysis (CMTF and ACMTF), enabling joint analysis of matrices + higher‐order tensors.
Fast image super-resolution using conjugate gradient optimization for microscopy and imaging applications.