Towards Robust Evaluation for Geospatial Foundation Models

Get your documents ready for gen AI

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

Python implementation of Data Mining Sharpener

This page presents a list of satellite imagery datasets with a temporal dimension, mainly satellite image time series (SITS) and satellite videos, for various computer vision and deep learning task…

The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.

Multi-Spectral Remote Sensing Image Retrieval using Geospatial Foundation Models

Overture Maps Data

SkyEyeGPT: Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language Model

Deep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.

Open-vocabulary Semantic Segmentation

This is the official PyTorch implementation of the paper Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.

List of Computer Science courses with video lectures.

Time series forecasting with PyTorch

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai