Pinned Repositories
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.
MikeOB-195's Repositories
MikeOB-195/advance-bayesian-modelling-with-PyMC3
MikeOB-195/ams-2013-2014-solar-energy
MikeOB-195/bnp_tutorial
MikeOB-195/BrightSolarModel
The Bright Solar Model (SIG, and SDSIG) as detailed in the Journal of Solar Energy
MikeOB-195/calc-wind
Separate the 2 regimes of stable PBL and estimates the Weibull distribution for the wind in each regime
MikeOB-195/Data-Analysis-with-R
Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more
MikeOB-195/deep-Bayesian-nonparametrics-papers
The collection of papers about combining deep learning and Bayesian nonparametrics
MikeOB-195/DP_GP_cluster
MikeOB-195/HDPHMM
MikeOB-195/HDPHMM_HDPSLDS
HDPHMM_HDPSLDS
MikeOB-195/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
MikeOB-195/ihmm
A fork of Jurgen Vangael's Infinite HMM matlab code
MikeOB-195/Inference-on-3-Weibull-distribution
MikeOB-195/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).
MikeOB-195/machine_learning_techniques
In which I implement some applications of machine learning techniques.
MikeOB-195/malone_OpenDataSciCon
repository for code related to the end-to-end data analysis in python workshop, from the Open Data Science Conference 2015
MikeOB-195/nonparametric-quantile-regression
Nonparametric quantile regression methods for forecasting of energy and parking data.
MikeOB-195/NPBayes
Reviewing some Bayesian non-parametric models
MikeOB-195/npbayes-1
MikeOB-195/ORIE-6741-Bayesian-Machine-Learning----Bayesian-Non-parametric-Model-for-Time-Series-Data
Bayesian Non-parametric Model for Time-Series Data
MikeOB-195/Probabilistic-Load-Forecasting-with-Quantile-Regression
Comparison study of GB, XGB, LGBM and NN's performance in probabilistic load forecasting
MikeOB-195/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
MikeOB-195/PyGuEx
Examples of optimization problems in Python with Gurobi
MikeOB-195/Robust-Clustering-With-Subpopulation-Specific-Deviations
Robust Clustering With Subpopulation-Specific Deviations, by Briana J. K. Stephenson, Amy H. Herring, Andrew Olshan
MikeOB-195/Solar-Energy-Prediction-Contest
MikeOB-195/SolarData
Download and manipulate some publicly available solar datasets
MikeOB-195/Springboard-Projects
MikeOB-195/TimeSeries
Implementation of deep learning models for time series in PyTorch.
MikeOB-195/TimeSeriesClustering
MikeOB-195/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.