TorchGeo: datasets, transforms, and models for geospatial data

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

Diffusion models in PyTorch

A clean book theme for scientific explanations and documentation with Sphinx

DeepSensor is a Python package for tackling diverse environmental prediction tasks with NPs.

A repository for data analysis scripts used by the SWOT Transport Group

Easy fine-tuning of Geo foundation models

Documents describing the governance of the TorchGeo organization

Neural network method for mapping global SSH from satellite altimetry and SST observations

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting (NeurIPS 2023 Spotlight)

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Repository to run experiments.

Segmentation models with pretrained backbones. PyTorch.

This page presents a list of satellite imagery datasets with a temporal dimension, mainly satellite image time series (SITS) and satellite videos, for various computer vision and deep learning task…

OceanBench - SSH edition

A conda-smithy repository for torchgeo.

A flexible package manager that supports multiple versions, configurations, platforms, and compilers.

Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

A python library for easy manipulation and forecasting of time series.

Time series forecasting with PyTorch

Machine learning metrics for distributed, scalable PyTorch applications.

PyTorch implementation of bayesian neural network.