Sayantan (Monty) Majumdar, Ph.D.

GeoLibre. A lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs in the web browser, on the desktop, on mobile, and inside Jupyter notebooks.

ducklake. DuckLake is an integrated data lake and catalog format

Apollo-11. Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.

shp_validity. Tool for repairing or removing bad geometries from shapefiles.

PyStamps. Python implementation of StaMPS

GMIA-NEXT-Next-Generation-Global-Map-of-Irrigated-Areas-Using-Data-Fusion. Jupyter Notebook

sarpyx. sarpyx is a specialized Python package for advanced Synthetic Aperture Radar (SAR) data processing, sub-aperture decomposition and full integration with ESA's SNAP (Sentinel Application Platform) engine. It is tailored for researchers and developers.

cwms-data-api. Corps Water Management System RESTful Data Service https://cwms-data-api.readthedocs.io/latest

GeoAgent. A multimodal AI agent for geospatial data analysis and interactive visualization

qgis-nasa-opera-plugin. A QGIS plugin for searching and visualizing NASA OPERA data

cwms-python. Corps Water Management Systems (CWMS) library utilizing CWMS Data API

field-boundary-zero-shot. Repository associated with the journal article on zero-shot inference strategies for foundation models used on satellite images

otter. OTTER core

handily. Python Relative Elevation Model Processing Package

sam3. The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

geotessera. Python library for the Tessera embeddings

tessera. [CVPR26] TESSERA is a foundation model that can process time-series satellite imagery for applications such as land classification and canopy height prediction. Developed at the University of Cambridge, it enables efficient extraction of temporal patterns from Earth observation

Prithvi-EO-2.0. This repository contains details of the release of the Prithvi-EO-2.0 foundation model.

ftw-baselines. Code for running baseline models/experiments with the Fields of The World dataset

geoai. GeoAI: Artificial Intelligence for Geospatial Data

InSARHub. A modular Python framework for end to end InSAR and time-series processing with GUI support.

GRAIN. GRAIN - An Open-Source Dataset of the World's Irrigation Canals.

geeup. Simple CLI for Google Earth Engine Uploads

Caravan. A global community dataset for large-sample hydrology

openet-refet-gee. ASCE Standardized Reference Evapotranspiration Functions for Google Earth Engine (GEE)

zenodo-upload. upload big files to Zenodo using cURL, jq and bash

whittaker-eilers. A sparse matrix implementation of Whittaker-Eilers smoothing and interpolation

Delineate-Anything. Delineate Anything: Resolution-Agnostic Field Boundary Delineation on Satellite Imagery. Foundation Model for Field Boundary Delineation.

neuralhydrology. Python library to train neural networks with a strong focus on hydrological applications.

gee-cc-refs. building APA style references of the GEE Community Catalog

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

interpret. Fit interpretable models. Explain blackbox machine learning.

pygeohydro. A part of HyRiver software stack for accessing hydrology data through web services

kNDVI. Kernel vegetation indices and the kernel NDVI

HighResCanopyHeight. This repository provides inference code to compute canopy height maps from aerial images, as described in the paper "Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar".

earthaccess. Python Library for NASA Earthdata APIs

optuna. A hyperparameter optimization framework

Global-Subsidence-Groundwater. Python

Geo-SAM. A QGIS plugin tool using Segment Anything Model (SAM) to accelerate segmenting or delineating landforms in geospatial raster images.

keras-core. A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.

gridwxcomp. Comparison of weather station and gridded climate datasets

PyRate. A Python tool for estimating velocity and time-series from Interferometric Synthetic Aperture Radar (InSAR) data.

swifter. A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner

tethys. The Tethys Platform main Django website project repository.

esm. Evolutionary Scale Modeling (esm): Pretrained language models for proteins

farmvibes-ai. FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability

AnaFlow. A python-package containing analytical solutions for the groundwater flow equation

AgML. AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

sarsen. Algorithms and utilities for Synthetic Aperture Radar (SAR) sensors

FastTreeSHAP. Fast SHAP value computation for interpreting tree-based models

FLAML. A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

shap-hypetune. A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

awesome-explainable-graph-reasoning. A collection of research papers and software related to explainability in graph machine learning.

techniques. Techniques for deep learning with satellite & aerial imagery

gnn. TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

scientific-visualization-book. An open access book on scientific visualization using python and matplotlib

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

GAT. Graph Attention Networks (https://arxiv.org/abs/1710.10903)

pycaret. Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

DeepLearningExamples. State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

swb2. SWB 2.0: a refactored version of the Soil-Water-Balance code

swb. Soil-Water-Balance: A Modified Thornthwaite-Mather Soil-Water-Balance Code for Estimating Groundwater Recharge.

spyndex. Awesome Spectral Indices in Python.

flow-forecast. Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

plotKML. plotKML: Visualization of Spatial and Spatio-Temporal Objects in Google Earth

SMAP-HydroBlocks_postprocessing. Software for postprocessing the SMAP-HydroBlocks dataset from the Hydrological Response Unit (HRU) space into the geographically gridded space. More information on SMAP-HydroBlocks at https://waterai.earth/smaphb/

wildwood. Advanced random forest methods in Python

cuml. cuML - RAPIDS Machine Learning Library

icecube. Create time-series datacubes for supervised machine learning with ICEYE SAR images.

RAiDER. Raytracing Atmospheric Delay Estimation for RADAR

emukit. A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

gans-awesome-applications. Curated list of awesome GAN applications and demo

triton. Development repository for the Triton language and compiler

awesome-gee-community-datasets. Community Datasets added by users and made available for use at large

alphafold. Open source code for AlphaFold 2.

LightGBM. A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

pipelines. Machine Learning Pipelines for Kubeflow

planet-client-python. Python client for Planet APIs

python-usgs-training. Jupyter Notebook

usgs-map-gwmodels. Python code for pre- and post-processing of groundwater models for the USGS Mississippi Alluvial Plain Project

notebooks. interactive notebooks from Planet Engineering

launchpad. Python

xarray-sentinel. Xarray backend to Copernicus Sentinel-1 satellite data products

spconv. Spatial Sparse Convolution Library

TransUNet. This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

ice-layer-tracking. Python

pyinterpolate. Kriging | Poisson Kriging | Variogram Analysis

Keras-GAN. Keras implementations of Generative Adversarial Networks.

FloodNet-Challenge-EARTHVISION2021.

projectMAS. Python

DeepLabV3Plus. Python

Deines_etal_LEMA_SALUS. code, crop simulation files, and data for manuscript

shap. A game theoretic approach to explain the output of any machine learning model.

open-geo-tutorial. Tutorial of fundamental remote sensing and GIS methodologies using open source software in python

PlotNeuralNet. Latex code for making neural networks diagrams

uncertainty-toolbox. Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

GE6146. Course material for Advanced Geodetic Remote Sensing

neural_prophet. NeuralProphet: A simple forecasting package

awesome-geospatial-companies. :globe_with_meridians: List & Map of 800+ companies for geospatial jobs (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)

spectral. Python module for hyperspectral image processing

GeoMLA. Machine Learning algorithms for spatial and spatiotemporal data

cuspatial. CUDA-accelerated GIS and spatiotemporal algorithms

data-science-stack. NVIDIA Data Science stack tools

SNODASR. Functions for using SNODAS data.

python-machine-learning-book. The "Python Machine Learning (1st edition)" book code repository and info resource

cugraph. cuGraph - RAPIDS Graph Analytics Library

pangeo_lstm_example. Example notebook, showing how to use LSTMs for rainfall-runoff modeling

2020_ICESat-2_Hackweek_Tutorials. Combined repository for the final tutorial material presented at the 2020 ICESat-2 Cryosphere-themed Hackweek presented virtually by the University of Washington.

ICASAR. An algorithm for robustly appling sICA to InSAR data

USRNet. Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

STGCN_IJCAI-18. [IJCAI'18] Spatio-Temporal Graph Convolutional Networks

sdwisard. Query tool for SDWIS (Safe Drinking Water Information System)

streamDepletr. R package for assessing streamflow depletion due to groundwater pumping.

ALEPython. Python Accumulated Local Effects package

Machine-Learning-with-Python. Practice and tutorial-style notebooks covering wide variety of machine learning techniques

LunaRTM. Multi-layer Radar Backscatter Model for the estimation of physical properties (like electrical and geotechnical) and roughness of the surface.

pestpp. tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis

rgee. Google Earth Engine for R

skysat_stereo. Tools and libraries for processing Planet SkySat imagery, including camera model refinement, stereo reconstruction, and orthomosaic production

smapr. An R package for acquisition and processing of NASA SMAP data

geemap. A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

spup. R package: spup - Spatial Uncertainty Propagation Analysis

Label-Pixels. Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed for extracting the road network from remote sensing imagery and now, it can be used to extract different features from remote sensing imagery.

pysheds. Simple and fast watershed delineation in python

wradlib. weather radar data processing - python package

BigGANsAreWatching. Authors official implementation of "Big GANs Are Watching You" pre-print

earthengine-py-examples. A collection of 300+ examples for using Earth Engine and the geemap Python package

whitebox-tools. An advanced geospatial data analysis platform

whiteboxR. WhiteboxTools R Frontend

whitebox-python. WhiteboxTools Python Frontend

hdf5storage. Python package to read and write a wide range of Python types to/from HDF5 formatted files. Can read/write data to the HDF5 based Matlab v7.3 MAT files.

Fishy-Business. Fishial Recognition

PyKrige. Kriging Toolkit for Python

PVGeo. 🌍 Python package of VTK-based algorithms to analyze geoscientific data and models

awesome-open-geoscience. Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

PythonNumericalDemos. Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

WNTR. An EPANET compatible python package to simulate and analyze water distribution networks under disaster scenarios.

resources-earth-observation. A collection of Earth Observation Notebooks.

GSTools. GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more

pytesmo. python Toolbox for the Evaluation of Soil Moisture Observations

GeostatsPy_Intro_Course. Introduction to spatial data analytics and machine learning with GeostatsPy Python package

open-data-registry. A registry of publicly available datasets on AWS

geopandas. Python tools for geographic data

exactextract. Fast and accurate raster zonal statistics

GeostatsPy. GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatistics in a Python package. Now with many additional methods. I hope this resources is helpful, Prof. Michael Pyrcz

ARIA-tools-docs. Documenation of ARIA-tools and examples

serve. ☁️ Build multimodal AI applications with cloud-native stack

Landsat-Classification-Using-Convolution-Neural-Network. Source code and files mentioned in the medium post titled "Is CNN equally shiny on mid-resolution satellite data?" available at https://towardsdatascience.com/is-cnn-equally-shiny-on-mid-resolution-satellite-data-9e24e68f0c08

CNN-Sentinel. Analyzing Sentinel-2 satellite data in Python with Keras (repository of our talks at Minds Mastering Machines 2019 and PyCon 2018)

awesome-earthobservation-code. A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery

s2cnn. Spherical CNNs

3d-photo-inpainting. [CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting

HighRes-net. Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition. This is a ServiceNow Research project that was started at Element AI.

SemiAutomaticClassificationPlugin. Python

random-forest-importances. Code to compute permutation and drop-column importances in Python scikit-learn models

DeOldify. A Deep Learning based project for colorizing and restoring old images (and video!)

coronavirus. The coronavirus dataset

COVID-19. Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

computervision-recipes. Best Practices, code samples, and documentation for Computer Vision.

autoRIFT. A Python module of a fast and intelligent algorithm for finding the pixel displacement between two images

download_water_data. Downloader for the Global Surface Water Data of the Copernicus Programme

Double-Branch-Dual-Attention-Mechanism-Network. Hyperspectral Image Classification

beautiful-jekyll. ✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com

120-Data-Science-Interview-Questions. Answers to 120 commonly asked data science interview questions.

prophet. Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

vardbg. A simple Python debugger and profiler that generates animated visualizations of program flow, useful for algorithm learning.

earthengine-py-notebooks. A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

time-series-forecasting. R

qgis-earthengine-plugin. Integrates Google Earth Engine and QGIS using Python API

ARIA-tools. Tools for exploiting ARIA standard products

PythonDataScienceHandbook. Python Data Science Handbook: full text in Jupyter Notebooks

sentinelsat. Search and download Copernicus Sentinel satellite images

cv. My CV built using RMarkdown and the pagedown package.

kite. InSAR unwrapped surface displacement processing for earthquake modelling.

Neural-Decision-Forests. An implementation of the Deep Neural Decision Forests in PyTorch

cudf. cuDF - GPU DataFrame Library

Mish. Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

montilecarlo. Python

keras-vis. Neural network visualization toolkit for keras

tflearn. Deep learning library featuring a higher-level API for TensorFlow.

rockstar. Makes you a Rockstar C++ Programmer in 2 minutes

flopy. A Python package to create, run, and post-process MODFLOW-based models.

phenofit. R package: A state-of-the-art Vegetation Phenology extraction package, phenofit

horovod. Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Monte-Carlo-Mixing-Model. Stochastic hydrogeologic mixing cell model

EarthEngine-Deep-Learning. Land Cover Classification based on Landsat-8 imagery from Google Earth Engine

SandDance. Visually explore, understand, and present your data.

imagededup. 😎 Finding duplicate images made easy!

Geogrid. A Python module for precise mapping between (pixel index, pixel displacement) in image coordinates and (geolocation, motion velocity) in map-projected geographic Cartesian coordinates (northing/easting)

hvplot. A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews

dinosar. tools for InSAR processing on AWS

MintPy. Miami InSAR time-series software in Python

sen2r. Find, Download and Process Sentinel-2 Data

impyute. Data imputations library to preprocess datasets with missing data

psyplot. Python package for interactive data visualization

movingpandas. MovingPandas - a Python library for movement data exploration and analysis

knockknock. 🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

isce2-feedstock. A conda-smithy repository for isce2.

isce2. InSAR Scientific Computing Environment version 2

NGVEO. Deep learning for Earth Observation