akumenyi Goto Github PK

a-beginner-guide-to-carry-out-extreme-value-analysis-with-codes-in-python

A beginner's guide to carry out extreme value analysis, which consists of basic steps, multiple distribution fitting, confidential intervals, IDF/DDF, and a simple application of IDF information for roof drainage design. The guide mainly focuses on extreme rainfall analysis. However, the basic steps are also suitable for other climatic or hydrologic variables such as temperature, wind speed or runoff.

advanced_python_plotting

allendowney-thinkstats2

Git repository for Think Stats, 2nd Ed.

ams-ml-python-course

Machine Learning in Python for Environmental Science Problems AMS Short Course Material

applied-deep-learning-with-keras

Deep Learning examples with Keras.

atmos-tools

Package for analyzing and visualizing atmospheric data

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

bcsd-python

calculate-precipitation-based-agricultural-drought-indices-with-python

Precipitation-based indices are generally considered as the simplest indices because they are calculated solely based on long-term rainfall records that are often available. The mostly used precipitation-based indices consist of Decile Index (DI) Hutchinson Drought Severity Index (HDSI) Percen of Normal Index (PNI) Z-Score Index (ZSI) China-Z Index (CZI) Modified China-Z Index (MCZI) Rainfall Anomaly Index (RAI) Effective Drought Index (EDI) Standardized Precipitation Index (SPI).

climate_data_science

Python for Climate Data Science

cme_ncomms_2020

Supplementary files and scripts for Nowack et al., Causal networks for climate model evaluation and constrained projections, Nature Communications (2020), https://doi.org/10.1038/s41467-020-15195-y

covid-19

Novel Coronavirus 2019 time series data on cases

covid-19-analysis

Covidify - corona virus report generation for python 🦠

data-science-portfolio

All of the coolest projects you can ever hope to see!

datavisualization

deep-learning-with-keras

Code repository for Deep Learning with Keras published by Packt

deepsky

Interpretable Deep Learning for Spatial Analysis of Severe Hailstorms

dlc_extreme

epidemiology101

Epidemic Modeling for Everyone

forecast_rodeo

gallery

hands-on-examples

A series of Jupyter notebooks that walk you through the fundamentals of Python, Scientific Computing and Visualization, Machine Learning in Python, etc.

indices

Code for calculating climate indices

introduction-to-time-series-forecasting-python

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

machine-learning

machine-learning-notebooks

Stanford Machine Learning course exercises implemented with scikit-learn

machine-learning-the-future

Creation of Machine Learning Models using Python and datasets.

machinelearning

Practical course, which starting from Data Science offers examples (with Python code) and explanation (in Twitter threads) on concepts and techniques of Machine Learning, Deep Learning and NLP.

metocean

Python for ocean - atmosphere science and engineering