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100-days-of-python

100 Days of Code in Python

advance-bayesian-modelling-with-pymc3

ams-2013-2014-solar-energy

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

bda_course_aalto

Bayesian Data Analysis course at Aalto

best-of-python

🏆 A ranked list of awesome Python open-source libraries and tools. Updated weekly.

bnp_tutorial

brightsolarmodel

The Bright Solar Model (SIG, and SDSIG) as detailed in the Journal of Solar Energy

calc-wind

Separate the 2 regimes of stable PBL and estimates the Weibull distribution for the wind in each regime

clusteringbenchmark

Time series clustering benchmark

data-analysis-with-r

Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more

deep-bayesian-nonparametrics-papers

The collection of papers about combining deep learning and Bayesian nonparametrics

dp_gp_cluster

dsc-correlation-covariance-lab

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

gefcom-2012-wind-track

GEFCom 2012 Wind Forecast - 1st place

generation-expansion-planning-models

Generation Expansion Planning (GEP) models considering uncertainties on renewable energy resources (RES)

hdphmm

hdphmm_hdpslds

HDPHMM_HDPSLDS

hierarchical-probabilistic-forecasting-of-electricity-demand-with-smart-meter-data

Hierarchical Probabilistic Forecasting of Electricity Demand With Smart Meter Data, by Souhaib Ben Taieb, James W. Taylor, Rob J. Hyndman

ihmm

A fork of Jurgen Vangael's Infinite HMM matlab code

inference-on-3-weibull-distribution

jumptutorials.jl

Tutorials on using JuMP for mathematical optimization in Julia

kaggle_ams_2013_14_solar

kaggle-AMS 2013-14 Solar Energy

load-flow-analysis-in-power-systems

A MATLAB programs for solving the power-flow equations using either of this three methods : Gauss-Seidel (G-S) , Newton-Raphson (N-R) & Fast Decoupled Load Flow (FLDF).

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.