Ahirvoas

wtDigiTwin

A wind turbine digital twin based on YAMS

GMD-code

meteoai

The papers or tutorials and relative source code of artificial intelligence for meteorology, ocean and environment science.

uq-course

Introduction to Uncertainty Quantification

probability

Probabilistic reasoning and statistical analysis in TensorFlow

shap

A game theoretic approach to explain the output of any machine learning model.

emukit

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

DAPPER

Data Assimilation with Python: a Package for Experimental Research

fmr-enkf

Ensemble Kalman Filters (EnKFs) powered by the Fast Multipole Method (FMM) and Randomized Low-Rank Approximations (RandLRA)

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.

pykalman

Kalman Filter, Smoother, and EM Algorithm for Python

pyfilter

Particle filtering and sequential parameter inference in Python

particles

Sequential Monte Carlo in python

pysmc

Sequential Monte Carlo working on top of pymc

smc2017

Collected code and materials from the intensive course preparing for the workshop on Sequential Monte Carlo (SMC) methods at Uppsala University, August 2017

UQpy

UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.