shevawen

shap

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

incubator-answer

A Q&A platform software for teams at any scales. Whether it's a community forum, help center, or knowledge management platform, you can always count on Apache Answer.

InterpretableMLBook

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

martin

Blazing fast and lightweight PostGIS, MBtiles and PMtiles tile server, tile generation, and mbtiles tooling.

dagu

Yet another cron alternative with a Web UI, but with much more capabilities. It aims to solve greater problems.

xarray-spatial

Raster-based Spatial Analytics for Python

OpenFE

OpenFE: automated feature generation with expert-level performance

OpenSTL

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

terracotta

A light-weight, versatile XYZ tile server, built with Flask and Rasterio :earth_africa:

hls-foundation-os

This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.

KoopmanLab

A library for Koopman Neural Operator with Pytorch.

qgis-js

QGIS core ported to WebAssembly to run it on the web platform

raster4ml

A geospatial raster processing library for machine learning

xwrf

A lightweight interface for working with the Weather Research and Forecasting (WRF) model output in Xarray.

frykit

A simple toolbox for drawing in Python

BiteFengyun

ccplot

Command-line application for visualizing data from CloudSat and CALIPSO satellites

Himawari-8-gridded

Gridded-processed data of Himawari 8 geostationary meteorological satellite (H8)

svrstormsig

awesome-earth-system-ml

🌎 A curated list of Earth system datasets for the machine learning and weather, climate, ice, ocean, etc. community.

ol-proj-ch

china's gcj02 for openlayers

ccbrowse

Web application for browsing data from the CALIPSO and CloudSat satellites.

pybarnes

Barnes filter is an objective technique for separating macroscale and mesoscale features in meteorological data.

satellite-ecs-so

Here I provide some python code used for the analysis of satellite (CloudSat + CALIPSO) data to compute monthly mean LWC, IWC, and temperature profiles over the Southern Ocean.

models_for_radar

Deconvolutional and generative deep learning models for precipitation maps based on NWP

takler

:construction: A workflow tool for NWP

outlierensembles

A collection of outlier/anomaly detection ensembles.

eccodes-windows-build

Building ecCodes library on Windows

pycaliop

LSDSSIMR

LSDSSIMR: Large-Scale Dust Storm Database Based on Satellite Images and Meteorological Reanalysis Data