shepherdmeng's repositories
2021-ERL-WNV-Risk
This is the repository used to create West Nile virus risk maps with ECOSTRESS LST measurements.
acolite
ACOLITE: generic atmospheric correction module
climlab
Python package for process-oriented climate modeling
Deep-Learning-for-Cloud-Gap-Filling-on-Normalized-Difference-Vegetation-Index
A CNN-RNN based model that identifies correlations between optical and SAR data and exports dense Normalized Difference Vegetation Index (NDVI) time-series of a static 6-day time resolution and can be used for Events Detection tasks
ExplainAI
An integrated XAI package including ALE, PDP, ICE LIME and Shapley.
filterpy
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
gee-tutorials
This code base is collection of codes that are freely available for google earth engine. This is the collection of tutorials prepared by multiple individuals that were shared publicly as documents for learning purposes. These documents has been converted to web pages and are made easy access to the normal users via web page.
HyperGBM
A full pipeline AutoML tool for tabular data
lianjia-beike-spider
链家网和贝壳网房价爬虫，采集北京上海广州深圳等21个**主要城市的房价数据（小区，二手房，出租房，新房），稳定可靠快速！支持csv,MySQL, MongoDB,Excel, json存储，支持Python2和3，图表展示数据，注释丰富 ，点星支持，仅供学习参考，请勿用于商业用途，后果自负。
lowtran
LOWTRAN atmospheric absorption extinction, scatter and irradiance model--in Python and Matlab
MRUNet-for-MODIS-super-resolution
This is the github repository for the article: Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-Resolution
PGNN
Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling
predrnn-pytorch
Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.
pretty_gpd
a python function to plot a geopandas dataframe
prettymaps
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
PythonInAirSeaScience
The application of Python in atmospheric and oceanic science / Python 在大气海洋中的应用
RAOBget
Script to download RAOBS from the University of Wyoming Radiosonde Archive using wget and URL keywords
Rbeast
Bayesian Change-Point Detection and Time Series Decomposition
SEBALI-SEBALIGEE
Automated evapotranspiration retrieval model with missing soil-related datasets
TBBRDet
Thermal Bridges on Building Rooftops Detection (TBBRDet)
techniques
Techniques for deep learning with satellite & aerial imagery
Thermimage
R Package for working with radiometric thermal image files and data
wildfire_forecasting
Deep Learning Models for Wildfire Danger Forecasting