artessen's Stars
OpenHydrology/lmoments3
Estimate linear moments for statistical distribution functions
pacificclimate/ClimDown
PCIC's Daily Climate Downscaling Library
Unidata/MetPy
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
gem/risk-profiles
This is the web repository of the GEM's Risk Profiles
novelt/building-aggregation-tool
thinkingmachines/unicef-ai4d-poverty-mapping
UNICEF AI4D Relative Wealth Mapping Project - datasets, models, and scripts for building relative wealth estimation models across Southeast Asia (SEA)
worldbank/CropEstStatsExt
Cropland Estimation and Statistics Extraction
shap/shap
A game theoretic approach to explain the output of any machine learning model.
TeamHG-Memex/eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
domeniconappo/lisflood-code
Lisflood OS (LISFLOOD)
EscVM/Efficient-CapsNet
Official TensorFlow code for the paper "Efficient-CapsNet: Capsule Network with Self-Attention Routing".
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
eren-ck/st_dbscan
ST-DBSCAN: Simple and effective tool for spatial-temporal clustering
SeldonIO/alibi
Algorithms for explaining machine learning models
understandable-machine-intelligence-lab/Quantus
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
pyet-org/pyet
:sunflower: pyet is a Python package to estimate reference and potential evaporation.
alexlenail/NN-SVG
Publication-ready NN-architecture schematics.
NVlabs/FourCastNet
Initial public release of code, data, and model weights for FourCastNet
FREVA-CLINT/climatereconstructionAI
Software to train/evaluate models to reconstruct missing values in climate data (e.g., HadCRUT4) based on a U-Net with partial convolutions
Drinkler/Yield-Prediction
:seedling: Crop Yield Prediction using Machine Learning
ankurtaly/Integrated-Gradients
Attributing predictions made by the Inception network using the Integrated Gradients method
benjaminbenteke/Axiomatic-Attribution-for-DeepNetwork
This repository contains all jobs for week 1 of bootcamp.
google-research/skai
SKAI is a machine learning based tool for performing automatic building damage assessments on aerial imagery of disaster sites.
google-research/google-research
Google Research
csdms-contrib/fwdet
Calculate floodwater depth based on an inundation polygon (e.g. from remote sensing) and a DEM. See: http://csdms.colorado.edu/wiki/Model:FwDET
monocongo/climate_indices
Climate indices for drought monitoring
Leynse/SFINCS
Manual for SFINCS
brjathu/deepcaps
Official Implementation of "DeepCaps: Going Deeper with Capsule Networks" paper (CVPR 2019).
voila-dashboards/voila
Voilà turns Jupyter notebooks into standalone web applications
google-deepmind/alphafold
Open source code for AlphaFold.