Ahirvoas

AnDA

¡AnDA! is a Python library for the Analog Data Assimilation.

awesome-uncertainty-deeplearning

This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.

bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

DA-tutorials

Course on data assimilation (DA)

Data-Assimilation-Notebooks

emukit

A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

GPflow

Gaussian processes in TensorFlow

GPy

Gaussian processes framework in python

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

HugoLarochelle_NN_Exercises

A repo contains the implementation codes and assignments for Hugo Larochelle's Neural Network Course. http://info.usherbrooke.ca/hlarochelle/neural_networks/content.html

IEA-15-240-RWT

15MW reference wind turbine repository developed in conjunction with IEA Wind

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

missingno

Missing data visualization module for Python.

openfast

Main repository for the NREL-supported OpenFAST whole-turbine and FAST.Farm wind farm simulation codes.

openturns

Uncertainty treatment library

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 ;)

pyMAP

python wrapper for MAP

Python-for-Probability-Statistics-and-Machine-Learning

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

pyTurbSim

pyTurbSim is a turbulence simulation tool for HydroKinetic (tidal, river and ocean-current) turbine device design tools (e.g. NWTC's FAST). It is also an effective development platform for new TurbSim spectral models.

scikit-learn

scikit-learn: machine learning in Python

Training-Day1

Training-Day2

TurbSim

A stochastic, full-field, turbulence simulator

WindTurbineOutputPrediction

Work done at the H2O Open Tour NYC 2016 Hackathon, and later refinements