Ogunjo Samuel's Projects
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.
A curated repository of awesome Bayesian optimization resources.
This repository contains code used at the CAR-NASRDA training on air quality. PS: The Purpleair API has been deprecated, hence, most of the codes might not work again. Will find time to fix it.
A repository with several methods for analysis of experimental time series of different nature.
Code for Complexity-Entropy analysis
More than a hundred strange attractors
An open-source toolkit for entropic time-series analysis.
python package for DFA (Detrended Fluctuation Analysis) and related algorithms
Machine Learning and Data Analytics
Proposes non-parametric estimates of the Fisher Information Measure and the Shannon Entropy Power. The package contains also some bandwidth selectors for kernel density estimate.
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
GPP across Bruce Penisula
The ISIMIP project provides long term precipitation record which we are using for machine learning and statistical analysis of rainfall onset within the West African region.
Dissecting Multifractal detrended cross-correlation analysis
Multifractal Detrended Fluctuation Analysis in Python
Tools (C/Matlab) for multifractal analysis of 1D (time-series) and 2D (images) signals
These lines perfom the calculation of multrifractal distribution F(alpha) and of Dq and tau from an image.
Python scripts connected to Strogatz's nonlinear dynamics and chaos theory text.
Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.
Config files for my GitHub profile.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
A Python module for continuous wavelet spectral analysis. It includes a collection of routines for wavelet transform and statistical analysis via FFT algorithm. In addition, the module also includes cross-wavelet transforms, wavelet coherence tests and sample scripts.
Python Dynamic Mode Decomposition
A large collection of color maps for Python