CristinaMarsh

open_clip

An open source implementation of CLIP.

lightly

A python library for self-supervised learning on images.

Awesome-Deep-Graph-Clustering

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

flopy

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

eemont

A python package that extends Google Earth Engine.

geospatial

A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.

megaman

megaman: Manifold Learning for Millions of Points

granite-tsfm

Foundation Models for Time Series

xskillscore

Metrics for verifying forecasts

humap

Hierarchical Uniform Manifold Approximation and Projection

Awesome-VQVAE

📚 A collection of resources and papers on Vector Quantized Variational Autoencoder (VQ-VAE) and its application

hydra-floods

HYDrologic Remote sensing Analysis for Floods Python package

pyinterpolate

Kriging | Poisson Kriging | Variogram Analysis

Pyspatialml

Machine learning modelling for spatial data

RivWidthCloudPaper

A Google Earth Engine based algorithm that extracts river centerlines and widths from satellite images

topometry

Systematically learn and evaluate manifolds from high-dimensional data

WatNet

A deep learning model for surface water mapping based on satellite optical image.

PyDMD

mathLab mirror of Python Dynamic Mode Decomposition

soil-erosion-watch

GEE App to explore the state of the world's (degraded) soils

torchsurv

Deep survival analysis made easy

HLS-Data-Resources

This repository provides guides, short how-tos, and tutorials to help users access and work with Harmonized Landsat Sentinel-2 (HLS) data.

centerline-width

A Python package to find the centerline and width of rivers based on the latitude and longitude of the right and left bank (v1.6.0)

LSDMappingTools

Some tools for manipulating and visualizing raster and vector data using python. See code generated documentation at the readthedocs website. For installation and usage instructions (warning: this is under construction) go here: https://lsdtopotools.github.io/LSDTT_documentation/LSDTT_visualisation.html

scatseisnet

DiffusionAE

SynxFlow

Simulates flood, landslide and debris flow dynamically using GPUs

datafold

Extended Dynamic Mode Decomposition for system identification from time series data (with dictionary learning, control and streaming options). Diffusion Maps to extract geometric description from data.

SciPy2024-GitHubActionsTutorial

Content for SciPy 2024 Tutorial "Github Actions for Scientific Data Workflows."

temporal-cluster-matching

An implementation of the temporal cluster matching method for detecting change in structure footprints from time series of remotely sensed imagery.

KAN-AutoEncoder

KAE : KAN-based AutoEncoder (AE, VAE, VQ-VAE, RVQ, etc.)