geogismx Goto Github PK

01_bookdown

banet

A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

broad-unet

convlstm_pytorch

Implementation of Convolutional LSTM in PyTorch.

crop-type-mapping

Source code to Rußwurm & Körner 2019. Self-Attention for Raw Optical Satellite Time Series Classification

deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

deep-learning-for-multi-year-enso-reproduction

Deep learning for multi-year ENSO forecasts Reproduction

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

dep

Iowa Daily Erosion Project (version 2)

dl4ds

Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistical downscaling of gridded data

dl4es

dlwp-cs

Deep learning models for global weather prediction on a cubed sphere

drought_app_v01

Visualize the results of the historic 2018 drought in The Netherlands.

earthengine-api

Python and JavaScript bindings for calling the Earth Engine API.

ecodash

ee-tensorflow-notebooks

Repository to place example notebooks for Deep Learning applications with TensorFlow and Earth Engine.

ee_ipl_uv

The package extends the functionality of Google Earth Engine API to implement cloud detection algorithms.

emit-data-resources

This repository provides guides, short how-tos, and tutorials to help users access and work with data from the Earth Surface Mineral Dust Source Investigation (EMIT) mission.

erosivity

calculates rainfall erosivity using precipitation time series

explainai

An integrated XAI package including ALE, PDP, ICE LIME and Shapley.

fully-convolutional-recurrent-networks-for-crop-recognition

Fully convolutional recurrent networks for crop recognition

fundamentals-of-digital-image-and-video-processing-course

This repository contains python notebooks taken from Coursera course "Fundamentals of Digital Image and Video Processing", taught at Northwestern University

gdal-cheat-sheet

Cheat sheet for GDAL/OGR command-line tools

gee_pml

Penman-Monteith-Leuning Evapotranspiration in GEE

geog0111

UCL Geography: 4th year course, Scientific Computing

geojsontoshpfile

This code converts GeoJSON to shape files.

geospatial-r-github.io

ghcnd_access

The ghcnd_access toolbox is utilised to extract data from the Global Historical Climatology Network (GHCN)-Daily database and change the .dly file format into a more accessible structure. The toolbox can be run in either MATLAB or open source alternative GNU Octave.

globalland_api_demo_python