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memory-based-learning

Here are 3 public repositories matching this topic...

resemble

l-ramirez-lopez / resemble

resemble is an R package for similarity-based modelling and local learning in spectroscopy. It provides tools for dissimilarity computation, nearest-neighbour search, memory-based learning, and spectral library optimisation (methods designed for large, heterogeneous spectral datasets where global models underperform)

machine-learning cheminformatics evolutionary-algorithm spectroscopy spectral-data chemometrics nir local-regression pedometrics soil-spectroscopy lazy-learning spectral-library infrared-spectroscopy memory-based-learning evolutionary-search

Updated Apr 17, 2026
R

LanguageMachines / dimbl

Distributed Tilburg Memory Based Learner

cpp multithreading memory-based-learning

Updated Dec 11, 2025
C++

ternikarcr / SOC_NN

Soil Organic Carbon (SOC) estimation using VNIR lab spectroscopy and Nearest Neighbour models

soil memory-based-learning vnir-spectra plsr-modeling organic-carbon

Updated Sep 27, 2024
R

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