dario-passos/DeepLearning_for_VIS-NIR_Spectra

🌈 A collaborative list of awesome tools for spectroscopy. Also, check:

SpectroChemPy is a framework for processing, analyzing and modeling spectroscopic data for chemistry with Python

A deep learning toolkit for mass spectrometry

This is an official implementation for "HyperFree: A Channel-adaptive and Tuning-free Foundation Model for Hyperspectral Remote Sensing Imagery" (CVPR2025)

Official repository for "Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery" (CVPR 2024)

an open-sourced highly automated machine learning Python framework for data-driven geochemistry discovery

Some fundamental machine learning and data-analysis techniques are explained through realistic examples.

This project organizes notes, notebooks, algorithm explanations, and hands-on projects from deep learning fundamentals to computer vision, remote sensing semantic segmentation, change detection, foundation models, and paper reproduction. The goal aims to call existing models,

Python toolbox for lighting and color science