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.

A Library for Uncertainty Quantification.

A "line-network" geolocation tool created for Bellingcat's September 2022 Hackathon: https://www.bellingcat.com/resources/2022/10/06/automated-map-searches-scam-busting-tools-and-twitter-search-tra…

Supplementary package for "Spatio-Temporal Statistics with R" by C.K. Wikle, A. Zammit-Mangion, and N. Cressie

Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.

DL-based Building Information Modeling (BIM).

Pytorch implementation of Pixel Constrained CNN, a framework for probabilistic semantic inpainting 🎨

Generative Adversarial Transformers

Text-to-video generation.

downscaling & bias correction of CMIP6 tasmin, tasmax, and pr for the R/CIL GDPCIR project

Statistical Rethinking course and book package

Statistical Rethinking course winter 2022

Spatial Analysis Notes

TorchGeo: datasets, transforms, and models for geospatial data

Adds vim keybindings to all OS X inputs

A library designed to implement deep learning algorisms to climate data for weather and climate prediction.

Pytorch implementation of Neural Processes for functions and images 🎆

GIS and Spatial Analysis lecture notes

Functional tensors for probabilistic programming

18.337 - Parallel Computing and Scientific Machine Learning

Code for the paper - "Bayesian deep learning for spatial interpolation in the presence of auxiliary information"

Exploring and modeling Playa Lake inundation

Pytorch implementation of Generative Models as Distributions of Functions 🌿

Google Research

A simple and effective method for detecting out-of-distribution images in neural networks.

Generative Adversarial Networks and Autoencoders for 3D Shapes

PyTorch implementations of Generative Adversarial Networks.