Tooling that allows for code.json creation through automation

Language detection using Spacy and Fasttext

The objective of this analysis is to explore the Spotify dataset through different visualizations and answer interesting questions to get more insights about the dataset.

Code for the Million Song Dataset, the dataset contains metadata and audio analysis for a million tracks, a collaboration between The Echo Nest and LabROSA. See website for details.

CREPE: A Convolutional REpresentation for Pitch Estimation -- pre-trained model (ICASSP 2018)

Deep learning for MIR

Metadata, scripts and baselines for the MTG-Jamendo dataset

MU-LLaMA: Music Understanding Large Language Model

A didactic toolkit to rapidly prototype audio classifiers with pre-trained Tensorflow models and Scikit-learn

Pronounced as "musician", musicnn is a set of pre-trained deep convolutional neural networks for music audio tagging.

Masked Modeling Duo: Towards a Universal Audio Pre-training Framework

Visualize backpropagation in neural networks live in your browser. VISxAI 2021

A Python library for Nasdaq Data Link's RESTful API

a fast, scalable, multi-language and extensible build system

Copybara: A tool for transforming and moving code between repositories.

A Quarto site for presenting results from Open Source Program Office surveys

pyGIS is an online textbook covering all the core geospatial functionality available in Python. This includes handling vector and raster data, satellite remote sensing, machine learning and deep le…

This is Trevor Swan and Josh Sauickie's Freestyle project

Final project for OPAN3244 created at Georgetown University

Freestyle project for OPAN 3244. By Bhagirath Khemka, Rohan Mistry and Dhruv Gupta