Starred repositories
Burned area segmentation from Sentinel-2 using multi-task learning
Toolkit for linearizing PDFs for LLM datasets/training
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Deployment framework based on NVIDIA Triton Inference Server
Multi-source satellite data toolkit for retrieval and harmonized processing
A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).
OmniCloudMask is a Python library for fast, accurate cloud and cloud shadow segmentation in satellite imagery.
CLI tool for NASA Earthdata granule/collection search and download
This repository provides guides, short how-tos, and tutorials to help users access and work with MODIS and VIIRS data.
Selenium-automated Jupyter Notebook that is synchronised with Neovim in real-time.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
A high-performance distributed file system designed to address the challenges of AI training and inference workloads.
Code and data for Kuro Siwo flood mapping dataset
An extremely fast Python package and project manager, written in Rust.
AI observability platform for production LLM and agent systems.
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Annotating Remote Sensing Images for Disaster Management using Foundation Models
A Pure Python, React-style Framework for Scaling Your Jupyter and Web Apps
To fix the Docker and UFW security flaw without disabling iptables
A launch point for your personal nvim configuration
Efficient vision foundation models for high-resolution generation and perception.
A simple and effective method for detecting out-of-distribution images in neural networks.