Google Earth Engine for R

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

Spatial Implicit Neural Representations for Global-Scale Species Mapping - ICML 2023

A Change Detection Repo Standing on the Shoulders of Giants

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learna…

Kolmogorov Arnold Networks

LLM training in simple, raw C/CUDA

The pytorch implementation for "A New Learning Paradigm for Foundation Model-based Remote Sensing Change Detection"

Chronos: Pretrained Models for Time Series Forecasting

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

Conditional independence testing with kernel-based measures

Code for "Evaluating Spatial Understanding of Large Language Models" TMLR 2024.

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."

PyTorch implementation of SatCLIP

Official implementation of Earthformer

Code that accompanies the paper Guided Deep Kernel Learning

Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.

Community interface for generative AI

Code for DragGAN (SIGGRAPH 2023)

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Slides and materials for the OHSU OCTRI BERD R courses