Version 0.2.0 — see CHANGELOG.md for release notes. Preprocessing pipeline for GC-MS Total Ion Current (TIC) chromatograms, designed for downstream chemometrics and machine learning. Handles data from ...

Every few months, a new wave of marketing technology advice arrives — from vendor webinars, analyst newsletters, conference keynotes and the kind of LinkedIn post that generates ten thousand reactions ...

Have you ever clicked on a YouTube video only to scramble for the volume knob because the ad was way louder than the content? Or noticed how one podcast sounds quiet while another blasts your speakers ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you’ve ever built a predictive model, worked on a ...

Electrochemical impedance spectroscopy (EIS) is entering an exciting stage of development as machine learning–driven (ML) spectral analysis begins to complement traditional equivalent-circuit fitting ...

An implementation of MNN correct in python featuring low memory usage, full multicore support and compatibility with the scanpy framework. Batch effect correction by matching mutual nearest neighbors ...

Sensory neurons must remain selective for specific features in a scene, even when many stimuli fall within their receptive fields (RFs). In natural vision, this selectivity is preserved by a process ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

A common problem in confocal microscopy is the decrease in intensity of excitation light and emission signal from fluorophores as they travel through 3D specimens, resulting in decreased signal ...