The uncompromising Python code formatter

An extremely fast Python linter and code formatter, written in Rust.

Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.

LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation

Laspy is a pythonic interface for reading/modifying/creating .LAS LIDAR files matching specification 1.0-1.4.

Spatial analysis of the COVID-19 vaccination uptake in England, using geographically weighted regression

ImageBind One Embedding Space to Bind Them All

This repo contains the code used for the results in paper: 'Assessing the socio-demographic representativeness of mobile phone application data' in Applied Geography

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.

Polygonal Surface Reconstruction from Point Clouds

Large-scale LoD2 Building Reconstruction from Airborne LiDAR Point Clouds

European building characteristics: a common and open database

BikeDNA: Bicycle Infrastructure Data & Network Assessment

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

A collection of tutorials written on python notebooks

Gallery of OSMnx tutorials, usage examples, and feature demonstations.

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

efficient tools for LiDAR processing

COIN-OR Branch-and-Cut solver

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.

An Open Source Machine Learning Framework for Everyone

Worldwide building footprints derived from satellite imagery

Sample files to accompany the FT's Chart Doctor column

An open-source, cross-platform, lightweight, and fast Python path engine for networks encoded in GMNS.

Published analysis code of my MSc dissertation

Codes and data used in Large-scale Automatic Identification of Urban Vacant Land Using Semantic Segmentation of High-Resolution Remote Sensing Images

Techniques for deep learning with satellite & aerial imagery

🗺️ location-allocation problems using mixed integer programming: open source and in python.

Package to calculate several thermal comfort indices (e.g. PMV, PPD, SET, adaptive) and convert physical variables.

Materials for The Alan Turing Institute's Research Software Engineering course