Instruct-tune LLaMA on consumer hardware

Data and code behind the articles and graphics at FiveThirtyEight

Open Machine Learning course

Automatic Generation of Visualizations and Infographics using Large Language Models

Productivity Tools for Plotly + Pandas

📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.

Getting started with soccer analytics

Tutorials for DataCamp (www.datacamp.com)

The Python library to create stand-alone and interactive d3 charts.

COVID-19 Mobility Data Aggregator. Scraper of Google, Apple, Waze and TomTom COVID-19 Mobility Reports🚶🚘🚉

Python library for cleaning and regularising building footprints in geospatial data, aligning edges to principal directions and simplifying polygons for more accurate analysis.

EOPF 101 introduces you to tools and practical examples working with Sentinel Zarr data created by the ESA EOPF Sample Service.

Analyzes www.wahl-o-mat.de German political party data

This repository hosts the Jupyter notebooks developed for the lecture on 'Analysis of Big Earth Data with Jupyter notebooks' during the OpenGeoHub Summer School 2020.

This code retrieves the live traffic json file from TomTom, and cleans this data to replicate the live chart shown on the webpage.

Einfaches Python-Skript zum Verschriflichen aller Videos eines Youtube-Channels

An LLM-powered app helping voters make a more informed choice in the 2024 EU elections

A generative AI extension for JupyterLab

The family of RainNet2024 models for precipitation nowcasting

A bot to send automatic Whatsapp messages given a contact list.

Create maps for NUTS2 level data based on Eurostat's database

Visualizing TomTom Traffic and Routing APIs

A short Python script to calculate the distances you've traveled with Deutsche Bahn - by parsing your tickets

Prediction of soccer game results of home team by various classification models like Decision tree, SVM, KNN, Logistic Regression and applying Ensemble learning (Voting Classifier) to boost accuracy.

Scrape the Germany Top Retail Stores using Selenium and BeautifulSoup Libraries Python