Starred repositories
Lightweight FastAPI tools for inspecting, previewing, and slicing multidimensional imaging data (NIfTI, HDF5).
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Baselines for the ESA-ITU challenge
Curated papers on survey paper "deep learning and foundation models for weather prediction".
AI agents running research on single-GPU nanochat training automatically
Fully autonomous & self-evolving research from idea to paper. Chat an Idea. Get a Paper. 🦞
Benchmarking Foundation Models for Cryosphere Applications
Rasteret is a library for 20x+ faster reads of GeoTIFF than Rasterio/GDAL. Interops with TorchGeo, Xarray, DuckDB, Polars
One line code to get any remote sensing foundation model embeddings for any place and any time
Expandable Datasets for Earth Observation
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
https://www.nature.com/articles/s41597-025-04725-2
Implementation of the Aurora model for Earth system forecasting
Earth system foundation model data, training, and eval
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
Landslide susceptibility mapping using Machine Learning - A Danish case study
This repo aims to develope a foundational model using california CDL (Cropland Data Layer) for different downstream tasks.
PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting
I employ an advanced approach combining Google Earth Engine (GEE) and data from the MODIS satellite to gather comprehensive remote sensing data. This data is then analyzed using cutting-edge Machin…
Data description and baseline code for LandSlide4Sense 2022 competition
MTEB: Massive Text Embedding Benchmark
[NeurIPS 2025] DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response
This is the implement of the paper "DynamicVis: An Efficient and General Visual Foundation Model for Remote Sensing Image Understanding"