aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

FMA: A Dataset For Music Analysis

High Quality Monocular Depth Estimation via Transfer Learning

Digital Signal Processing - Theory and Computational Examples

Classical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation.

Collection of Jupyter notebooks illustrating various techniques in computational acoustics

Experiments on Angelo Farina's method of impulse response of a room measurement.