adamjstewart

vim

The official Vim repository

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

emoji-cheat-sheet

A markdown version emoji cheat sheet

kornia

Geometric Computer Vision Library for Spatial AI

techniques

Techniques for deep learning with satellite & aerial imagery

jupytext

Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

spack

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

awesome-satellite-imagery-datasets

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

gpytorch

A highly efficient implementation of Gaussian Processes in PyTorch

pyupgrade

A tool (and pre-commit hook) to automatically upgrade syntax for newer versions of the language.

lightly

A python library for self-supervised learning on images.

torchgeo

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

nbstripout

strip output from Jupyter and IPython notebooks

pydocstyle

docstring style checker

data

A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.

Awesome-Remote-Sensing-Foundation-Models

nbsphinx

:ledger: Sphinx source parser for Jupyter notebooks

ViTAE-Transformer-Remote-Sensing

A comprehensive list [SAMRS@NeurIPS'23, RVSA@TGRS'22, RSP@TGRS'22] of our research works related to remote sensing, including papers, codes, and citations. Note: The repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining" has been moved to: https://github.com/ViTAE-Transformer/RSP

sphinx-gallery

Sphinx extension for automatic generation of an example gallery

SSL4EO-S12

SSL4EO-S12: a large-scale dataset for self-supervised learning in Earth observation

multiearth

Download and access remote sensing data from any platform

SatMAE

Official code repository for NeurIPS 2022 paper "SatMAE: Pretraining Transformers for Temporal and Multi-Spectral Satellite Imagery"

Monokai_Fish_OSX

Monokai Theme for OS X Terminal & Fish Shell

installer

A low-level library for installing from a Python wheel distribution.

r-system-requirements

System requirements for R packages

lightning-uq-box

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

eodal

Earth Observation Data Analysis Library

torchseg

Segmentation models with pretrained backbones. PyTorch.

Minerva

Minerva project includes the minerva package that aids in the fitting and testing of neural network models. Includes pre and post-processing of land cover data. Designed for use with torchgeo datasets.

pi_lecture_pytorch

Tutorial codes for a physics informed machine learning lecture based on shallow water equation.