Stars
Google Earth Engine Asset Manager with Addons
Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.
A grid sampler for larger-than-memory N-dimensional images
This repository contains demos I made with the Transformers library by HuggingFace.
This repo is for ILAB Jupyter NBs that are destined to be public facing on prism in the tutorial_notebooks dir. The tutorial_notebooks dir is visible to all users under their JupyterLinks location …
Implementation of Dabrowski et. al., "Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires"
A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).
A streamlit template for mapping applications
GeoTile is the python library for tiling the geographic raster data (eg. Tiff etc)
This repository demonstrates how Harmonized Landsat and Sentinel-2 (HLS) Foundation Model can be finetuned using AWS sagemaker.
Cookbook to use LLMs effectively for sciences, in various levels of expertise
Official content for Harvard CS109
machine learning and deep learning tutorials, articles and other resources
Model inputs for simulations of Rx fire, wildfire, forest management and climate change
A collection of available modules for use with the 'SpaDES' R package.
A book about machine learning, statistics, and data mining for heliophysics
Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax
Croissant is a high-level format for machine learning datasets that brings together four rich layers.
This repository is an AI bootcamp material that consist of a workflow for computer vision
The On-board Artificial Intelligence Research (OnAIR) Platform is a framework that enables AI algorithms written in Python to interact with NASA's cFS. It is intended to explore research concepts i…
Geo-Tiles for Semantic Segmentation of Earth Observation Imagery
High-performance web services for tiled raster imagery and vector tiles
The scripts to generate OSM Water Layer