Lists (3)
Stars
GenAI Agent Framework, the Pydantic way
The Case for a Centralized Earth Observation Vector Embeddings Catalog
TerraMind is the first any-to-any generative foundation model for Earth Observation, built by IBM and ESA.
Chat2Geo delivers a ChatGPT-like experience tailored for remote-sensing-based geospatial analysis. Its mission is to democratize geospatial insights at scale by harnessing cutting-edge AI technolog…
The Ultimate Chess Toolkit
A tool that walks your Python project's requirements and gathers the third party licenses for you
A PyTorch native platform for training generative AI models
This repository provides guides, short how-tos, and tutorials to help users access and work with data from the Earth Surface Mineral Dust Source Investigation (EMIT) mission.
Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024
A Survey on Vision-Language Geo-Foundation Models (VLGFMs)
Module to parse a latitude-longitude string into decimap degrees.
A survey of use cases and current data schemas for vector embeddings in geoparquet
A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).
A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
The Clay Foundation Model - An open source AI model and interface for Earth
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Official repo for "SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing"
A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''
🛰️ Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing" (IEEE TGRS)
This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.
Turn a STAC catalog into a dask-based xarray
A curated list of awesome vision and language resources for earth observation.
A highly efficient implementation of Gaussian Processes in PyTorch