efficient tools for LiDAR processing

A very simple template for productive Python

PDAL is Point Data Abstraction Library. GDAL for point cloud data.

Code Repo for the Project "ReSIF"

RFNet: Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection of Road-driving Images

Function-oriented Make-like declarative workflows for R

An extremely fast LaTeX formatter written in Rust

Code for the paper "TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds"

Deep learning system; Docker image access; Pypi package; GEE access; image segmentation; density estimation; dataset open; pre-trained models open; PNAS Nexus publication

Extract individual trees from lidar point clouds

Generate Your Own Scotland: Satellite Image Generation Conditioned on Maps

Tooling for GANs in TensorFlow

The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.

Easily generate information-rich, publication-quality tables from R

A massively parallel, high-level programming language

My dotfiles

high-level library to generate simple PNG images.

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Geoinformation in Society

A collective list of free APIs

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Code and figures for Heisig, J.; Olson, E.; Pebesma, E. Predicting Wildfire Fuels and Hazard in a Central European Temperate Forest Using Active and Passive Remote Sensing. Fire 2022, 5, 29. https:…

Spatial Data Science: With Applications in R (source files)

CLI platform to experiment with codegen. Precursor to: https://lovable.dev

The Immersive Video Environment

🦠🇩🇪📈 An API for the spread of covid-19 in Germany. Data from Robert-Koch-Institut.