AI agent skills for Nutrient APIs and SDKs — works with Claude Code, Codex, Gemini CLI, Cursor, and 35+ more agents

The best ChatGPT that $100 can buy.

GEEO is a processing pipeline and collection of algorithms for obtaining Analysis-Ready-Data (ARD) from Landsat and Sentinel-2 using the Google Earth Engine Python API.

Chris Titus Tech's Windows Utility - Install Programs, Tweaks, Fixes, and Updates

Node based GUI for The Composers Desktop Project

A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).

GeoAI: Artificial Intelligence for Geospatial Data

Classic Python Program that turns images to midi. Added fixes to allow color images without conversion

A code-searching tool similar to ack, but faster.

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

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

💻 C++ Functional Terminal User Interface. ❤️

Open-source Windows and Office activator featuring HWID, Ohook, TSforge, and Online KMS activation methods, along with advanced troubleshooting.

TerrSet Geospatial Monitoring and Modeling Software

Python scripts and Jupyter Notebooks for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fifth Revised Edition"

Geospatial resources for web development 🌍 🗺️

🌲 🌳 🌴 A catalogue of open access forest datasets

tsl: a PyTorch library for processing spatiotemporal data.

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Guide to methods for generating and testing Cloud-Optimized Geospatial Formats

Split Raster is an open-source and highly versatile Python package designed to easily break down large images into smaller, more manageable tiles. While the package is particularly useful for deep …

The Linux Kernel Module Programming Guide (updated for 5.0+ kernels)

A technical explainer by @kognise of how your computer runs programs, from start to finish.

Lightweight, Pre-trained Transformers for Remote Sensing Timeseries