Raphael Franke
Raphael Franke is a Data Scientist at the Application Lab for Artificial Intelligence and Big Data at the German Environment Agency. With an academic background in mathematical statistics and data analysis he specializes in applying AI to real-world environmental challenges. His interests lie in probabilistic time series forecasting and leveraging data-driven insights for sustainable impact.
German Environment Agency
Session
06-16
14:50
20min
gamma_flow: Denoise, classify and disentangle spectral data!
Viola Rädle, Raphael Franke
gamma_flow is an open-source Python package for real-time spectral data analysis. Designed for speed and efficiency, it avoids large models, opting instead for a novel supervised dimensionality reduction approach. This enables seamless denoising, classification, and disentangling of single-label or multi-label spectra.
Palais Atelier