Popular GitHub Repositories for Spectroscopy

Transformer-based fNIRS Classification. Paper: Transformer Model for Functional Near-Infrared Spectroscopy Classification

Generative and Interpretable Deep Learning for Stellar Spectra

Repository for "Galaxy spectroscopy without spectra: Galaxy properties from photometric images with conditional diffusion models" (ApJ) and "Generating astronomical spectra from photometry with conditional diffusion models" (ML4PS@NeurIPS 2022)

Automatic Prediction of Peak Optical Absorption Wavelengths in Molecules using Convolutional Neural Networks

Probabilistic machine learning for reconstruction and parametrization of electronic band sturcture from photoemission spectroscopy data

Artificial neural networks for spectral analysis.

Better Radial velocities from Stellar Spectroscopy via Machine Learning

Project focused on optimizing artificial neural network (ANN) algorithms to generalize from experimental data describing the epitaxial synthesis of thin film semiconductor crystals. Incentivized by a project assignment in a CS 5300 - Artificial Neural Systems course taken at Western Michigan University.

Electrical Impedance Spectroscopy analysis using Machine Learning

Semi^2-Supervised Deep Generative Models in Theano

A tool for Smart Multi-modal Characterization of molecules, leveraging contrastive learning to align structural (graph) and vibrational (IR, Raman) information.

Provisional Patent created by XVisualAudio, HyperSpectral (IR, UV and visible light) data conversion to audio signals, proprietary protocol to create packets for a stream of video-like data fed to LLMs for training, queries, comparisons, chatbot

This project proposes an ML-based approach to determine the concentration of Pentanediol dissolved in water.