Stars
GPU-accelerated intrinsic dimension estimation with PyTorch
Welcome to NeuCo-Bench, a benchmarking framework for evaluating compressed embeddings on downstream tasks.
Enabling Training-Free Text-Based Remote Sensing Segmentation
[CVPR 2026 Oral] "INSID3: Training-Free In-Context Segmentation with DINOv3"
Ultimate collection of Claude Code tips, tricks, hacks, and workflows that you can use to master Claude Code in minutes
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
Compressing Optical Earth Observation Data
Super Productivity is an advanced todo list app with integrated Timeboxing and time tracking capabilities. It also comes with integrations for Jira, GitLab, GitHub and Open Project.
AI prompts for accelerating the research workflow.
A benchmark for lossy compression of climate data.
Rasteret is a library for 20x+ faster reads of GeoTIFF than Rasterio/GDAL. Interops with TorchGeo, Xarray, DuckDB, Polars
🖼 Stitching images into 360 panoramas
UN Handbook on Remote Sensing for Agricultural Statistics
A tool for developing remote sensing datasets and models.
Crop classification from Sentinel-2 imagery using Graph Convolutional Networks (PyTorch Geometric) | 99.9%% accuracy | Interactive Streamlit demo
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
SegEarth-OV3: Exploring SAM 3 for Open-Vocabulary Semantic Segmentation in Remote Sensing Images
Calculation of the entropy of the batch of images (whole image or patches)
A lightweight Python package for setting up robustness experiments and to compute robustness distributions.
A curated list of papers that focus on how to represent Earth data in embedding space — spatial, temporal, or semantic — and how those embeddings behave or are applied.
Evolutionary framework for edge AI deployment on satellites
[ICLR '26 Oral] Official repository of the paper "AnyUp: Universal Feature Upsampling".
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2018 and IJCV
A list of hyperspectral image super-solution resources collected by Junjun Jiang