dario-passos

1d_vit

1D vision transformer (vit) for ecg interpretable classification

DeepLearning_for_VIS-NIR_Spectra

Deep Learning models applied to the analysis of VIS-NIR spectral data

deeponet

Learning nonlinear operators via DeepONet

di-PLS

Python implementation of domain-invariant partial least squares regression (di-PLS)

LSSVMlib

This repository provides a Python3 Library with implementations of the Least-Squares Support Vector Machine (LS-SVM) machine learning model. The Classes are designed to integrate smoothly with the scikit-learn library.

MobileNet-1D-2D-Tensorflow-Keras

Supported Models: MobileNet [V1, V2, V3_Small, V3_Large] (Both 1D and 2D versions with DEMO, for Classification and Regression)

OpenSA

Aiming at the common training datsets split, spectrum preprocessing, wavelength select and calibration models algorithm involved in the spectral analysis process, a complete algorithm library is established, which is named opensa (openspectrum analysis).

py-matrix-algorithms

Python library of 2-dimensional matrix algorithms from Waikato University

spectrai

spectrai: a deep learning framework for spectral data

Transformer-for-Nirs

a novel calibration model named SpectraTr, based on the transformer structure is proposed and used for the qualitative analysis of drug spectrum.

dario-passos/DeepLearning_for_VIS-NIR_Spectra

Deep Learning models applied to the analysis of VIS-NIR spectral data

dario-passos/Transformer-for-Nirs

a novel calibration model named SpectraTr, based on the transformer structure is proposed and used for the qualitative analysis of drug spectrum.

dario-passos/spectrai

spectrai: a deep learning framework for spectral data

dario-passos/deeponet

Learning nonlinear operators via DeepONet

dario-passos/di-PLS

Python implementation of domain-invariant partial least squares regression (di-PLS)

dario-passos/LSSVMlib

This repository provides a Python3 Library with implementations of the Least-Squares Support Vector Machine (LS-SVM) machine learning model. The Classes are designed to integrate smoothly with the scikit-learn library.

dario-passos/MobileNet-1D-2D-Tensorflow-Keras

Supported Models: MobileNet [V1, V2, V3_Small, V3_Large] (Both 1D and 2D versions with DEMO, for Classification and Regression)

dario-passos/OpenSA

Aiming at the common training datsets split, spectrum preprocessing, wavelength select and calibration models algorithm involved in the spectral analysis process, a complete algorithm library is established, which is named opensa (openspectrum analysis).

dario-passos/py-matrix-algorithms

Python library of 2-dimensional matrix algorithms from Waikato University

dario-passos/1d_vit

1D vision transformer (vit) for ecg interpretable classification

dario-passos/ceot-lora-device-tracker

dario-passos/pomar-treenet

dario-passos/ceotdocs

Configuration tutorial for CEOT IoT experimental sensor network

dario-passos/classification_models_1D

Classification models 1D Zoo - Keras and TF.Keras

dario-passos/DSAE

dario-passos/nirs-protein-prediction

We present here a 1D convolutional neural network model to predict grain protein content using spectroscopic data of multiple cereals

dario-passos/plot_model

plot model for Tensorflow/Keras

dario-passos/pynir

python toolkit for calibration of near infrared ( NIR) spectra

dario-passos/SpecAnalysis

Fork from https://github.com/jernelv/SpecAnalysis