Popular GitHub Repositories for Earth Observation

Techniques for deep learning with satellite & aerial imagery

?? List of satellite image training datasets with annotations for computer vision and deep learning

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

[CVPR2023] The official repo for OC-SORT: Observation-Centric SORT on video Multi-Object Tracking. OC-SORT is simple, online and robust to occlusion/non-linear motion.

a Python toolkit for fine-tuning Geospatial Foundation Models (GFMs). https://ibm.github.io/terratorch/

The Clay Foundation Model - An open source AI model and interface for Earth

? A Collection of Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science)

A comprehesive survey about foundation models for weather and cliamte data understanding.

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning

? [AAAI'25] Official Code for “Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community"

Suite of PyBullet reinforcement learning environments targeted towards using tactile data as the main form of observation.

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities

Play, learn, solve, and analyze No-Limit Texas Hold Em. Implementation follows from Monte Carlo counter-factual regret minimization over with hierarchical K-means imperfect recall abstractions.

Jeo: Jax model training lib for Earth Observation

Application of deep learning for earth observation.

Machine learning tool to detect landslides from optical satellite imagery

This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).

Using StableDiffusion and ControlNet to generate synthetic aerial images