Pinned Repositories
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.
ams-ml-python-course
Machine Learning in Python for Environmental Science Problems AMS Short Course Material
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-analysis
Covidify - corona virus report generation for python 🦠
deepsky
Interpretable Deep Learning for Spatial Analysis of Severe Hailstorms
Epidemiology101
Epidemic Modeling for Everyone
phdscripts
These scripts were written as part of my PhD.
Python-Practical-Application-on-Climate-Variability-Studies
This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to explore meteorological time series, focusing on applications to study issues related with the climate variability and climate change. This tutorial starts with some basic statistic for time series analysis as estimation of means, anomalies, standard deviation, correlations, arriving the estimation of particular climate indexes (Niño 3), detrending single time series and decomposition of time series, filtering, interpolation of climate variables on regular or irregular grids, leading modes of climate variability (EOF or HHT), signal processing in the climate system (spectral and wavelet analysis). In addition, this tutorial also deals with different data formats such as CSV, NetCDF, Binary, and matlab'mat, etc. It is assumed that you have basic knowledge and understanding of statistics and Python.
scikit-learn
scikit-learn: machine learning in Python
Akumenyi's Repositories
Akumenyi/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
Akumenyi/Epidemiology101
Epidemic Modeling for Everyone
Akumenyi/phdscripts
These scripts were written as part of my PhD.
Akumenyi/qmap_bias_adjustment
quantile mapping applied to climate model output
Akumenyi/tigramite
Tigramite is a time series analysis python module for causal discovery. The Tigramite documentation is at
Akumenyi/covid-19-analysis
Covidify - corona virus report generation for python 🦠
Akumenyi/advanced_python_plotting
Akumenyi/akumenyi.github.io
Kay's website based on Jekyll Theme contrast
Akumenyi/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
Akumenyi/covid-19
Novel Coronavirus 2019 time series data on cases
Akumenyi/data-science-portfolio
All of the coolest projects you can ever hope to see!
Akumenyi/gallery
Akumenyi/indices
Code for calculating climate indices
Akumenyi/kschuler.github.io
My personal website
Akumenyi/Machine-Learning
Akumenyi/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.
Akumenyi/minisom
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
Akumenyi/ml_drought
Machine learning to better predict and understand drought
Akumenyi/ncar-python-tutorial
Numerical & Scientific Computing with Python Tutorial
Akumenyi/onset_demise_rainy_season
A python code that calculates the characteristics of the rainy and dry seasons. Onset and demise dates; duration of the wet and dry seasons; accumulated precipitation during the wet and dry seasons
Akumenyi/pg2oop
A Practical Guide to Object Oriented Programming in Python
Akumenyi/practical-python
Practical Python Programming (course by @dabeaz)
Akumenyi/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Akumenyi/PyEarthScience
The PyEarthScience repository created by DKRZ (German Climate Computing Center) provides Python scripts and Jupyter notebooks in particular for scientific data processing and visualization used in climate science. It contains scripts for visualization, I/O, and analysis using PyNGL, PyNIO, xarray, cfgrib, xesmf, cartopy, and others.
Akumenyi/Python
All Algorithms implemented in Python
Akumenyi/SAHP_index
Akumenyi/scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
Akumenyi/statsintro_python
Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"
Akumenyi/TinyML-Cookbook
TinyML Cookbook, published by Packt
Akumenyi/twitter-threading
Automatically posting Twitter Threads