The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Google Research

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

Python programs, usually short, of considerable difficulty, to perfect particular skills.

Learn OpenCV : C++ and Python Examples

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

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

Automatic extraction of relevant features from time series:

Text and code for the second edition of Think Bayes, by Allen Downey.

Dask tutorial

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well …

Urban Informatics and Visualization (UC Berkeley CP255)

Integration of H3 with GeoPandas and Pandas

An OCaml kernel for the IPython notebook

Course materials for teaching data visualization in Python.

MeteoNet's toolbox and documentation

A python library for instagram filters

Repository of small data analysis and visualisation projects to try out libraries and create new types of visualisations. Mostly using Python.

A temporary repository hosting a pomegranate re-write using PyTorch as the backend.

My main Machine Learning class

Introduction to Evolutionary Computation class

An open-source course on constraint solving

We present HelipadCat, a dataset of aerial images of helipads, together with a method to identify and locate such helipads from the air.

A repository to host code for participation in the 2021 #30DayMapChallenge

Air Traffic Generation

Repo for TMA trajectory generation unsing VAEs