A game theoretic approach to explain the output of any machine learning model.

An open-source, low-code machine learning library in Python

A library for debugging/inspecting machine learning classifiers and explaining their predictions

FMA: A Dataset For Music Analysis

Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".

Quantify the difference between two arbitrary curves in space

Bayesian time series forecasting and decision analysis

Sound Classification using Librosa, ffmpeg, CNN, Keras, XGBOOST, Random Forest.

6ABOS: 6S-based Atmospheric Background Offset Subtraction. A specialized Atmospheric correction pipeline for EnMAP hyperspectral imagery designed to refine surface reflectance by mitigating atmosph…

Code for the WCNPS 2020 paper "Tuning machine learning models to detect bots on Twitter"