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 ;)

The fastai deep learning library

📡 Simple and ready-to-use tutorials for TensorFlow

This repository contains the source code for the paper First Order Motion Model for Image Animation

A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

Portfolio and risk analytics in Python

A python tutorial on bayesian modeling techniques (PyMC3)

[CCS'24] A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).

Quilt is a data mesh for connecting people with actionable data

fizz buzz in tensorflow

Markdown <=> IPython Notebook

Observations from Ian on successfully delivering data science products

A self driving toy car using end-to-end learning

Interactive plotting for Python.

A Keras model that addresses the Quora Question Pairs dyadic prediction task.

Code and Examples for Relevant Search

A Python package for exploring and analysing genetic variation data

Sound Recognition

Poorly written code that generates moderately exciting plots of a very specific physics phenomenon that enthralls dozens of us around the globe.

Curso de iniciación a Python orientado a la ingeniería

Slides of my talk "Handling GPS data with Python" at the EuroPython 2016 in Bilbao

The transcripts of Grand National Assembly of Turkish Parliament (TBMM) meetings which span nearly a century between 1920 and 2015.

Pycones2018 repository

Material de la charla "The bad guys in AI - atacando sistemas de machine learning"

Taller "Aprendiendo cómo aprenden las máquinas" preparado por los organizadores de PyDataMallorca para la PyConES2019

Estudio de sondeos de las elecciones 2016

Explainable AI & fashion talk & experiments

Working with MicroPython on ESP32 from Jupyter Notebook

Material complementario sobre "Metodologías de Predicción en Series Temporales. Teoría Clásica y Aprendizaje Automático".