MikeOB-195's repositories
BDA_course_Aalto
Bayesian Data Analysis course at Aalto
100-days-of-python
100 Days of Code in Python
AnimeSR
Codes for "AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos"
awesome-bayesian-statistics
A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.
BAP
Bayesian Analysis with Python (Second Edition)
bayesian-analysis-recipes
A collection of Bayesian data analysis recipes using PyMC3
Bayesian-HMM
A non-parametric Bayesian approach to Hidden Markov Models
best-of-python
🏆 A ranked list of awesome Python open-source libraries and tools. Updated weekly.
clusteringBenchmark
Time series clustering benchmark
End-to-End-Time-Series
This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJd6GrQvhAtpBK
generation-expansion-planning-models
Generation Expansion Planning (GEP) models considering uncertainties on renewable energy resources (RES)
JuMPTutorials.jl
Tutorials on using JuMP for mathematical optimization in Julia
low-voltage-loadforecasting.github.io
This is the repository for the Github pages site produced with Jekyll to our page hosting an overview of load forecasting data sets as presented in our preprint on arXiv.
Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
matplotlib-cheatsheet
Matplotlib 3.1 cheat sheet.
MikeOB-195
Config files for my GitHub profile.
ML_Notebooks
A repository for public Machine Learning notebooks I have created
numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
open-sustainable-technology
A curated list of open technology projects to sustain a stable climate, energy supply, biodiversity and natural resources.
pgmpy_notebook
Short Tutorial to Probabilistic Graphical Models(PGM) and pgmpy
Probabilistic-Forecasting-for-Curves
Code for the paper "Probabilistic Forecasting for Daily Electricity Loads and Quantiles for Curve-to-Curve Regression" (ArXiv: http://arxiv.org/abs/2009.01595)
pymc
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
resources
PyMC3 educational resources
SolMultinomClass
A Dirichlet-multinomial mixture model-based approach for daily solar radiation classification
ThunderBayesR
An R Package for Bayesian Nonparametric Clustering. We plan to implement several models.
Time-Series_Clustering_For_Smart_Meter_Dataset
EDA and Time Series Stream Clustering for London Smart Meter Dataset, using Autoencoder with Kmeans algorithm, DB Scan, and Hierarchical Clustering algorithm.
Time_Series_Forecasting_of_Solar_Irradiance
Solar Irradiance Forecasting
timeseriesAI1
Practical Deep Learning for Time Series / Sequential Data using fastai1/ Pytorch
website_projects
Repository containing the code of the projects presented in my personal website.