🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.

A collection of production-ready Generative AI Agent templates built for Google Cloud. It accelerates development by providing a holistic, production-ready solution, addressing common challenges (D…

10 Weeks, 20 Lessons, Data Science for All!

Our project for the "Data and Results Visualization" exam at Politecnico di Milano. The project was about visualizing scraped data from Spotify, searching for an interesting "storytelling".

An app that monitors a user's Spotify account and creates a dashboard to visualize usage over time.

Basic examples to authenticate and fetch data using the Spotify Web API

Trying to predict my mood using my spotify music data

Tool to parse your spotify data

An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!

Music Data Analysis

An exploratory data analysis (EDA) and data visualization project using data from Spotify using Python.

I am sharing my Journey of 66DaysofData into Data Analytics by participating in Ken Jee's #66daysofdata challenge

Practice your pandas skills!

A light weight Python library for the Spotify Web API

A notebook analyzing different content based features in an audio file.

A simple example for extracting a pitch of a voice-track using a python library called librosa. The script is generating smoothed graphs of pitch.