Popular GitHub Repositories for Earth Sciences

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

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

An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.

? 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.

Gaussian Processes for Experimental Sciences

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"

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

benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, published in Cell Patterns 2022.

Recent advancements propelled by large language models (LLMs), encompassing an array of domains including Vision, Audio, Agent, Robotics, Fundamental Sciences such as Mathematics, and Ominous.

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).