Pinned Repositories
AutoBEL-v1.0
This is the repository for the Auto-BEL implementation in Python
BEL1D
Matlab toolboxes for the application of Bayesian Evidential Learning 1D imaging.
BELpy
Some tools to perform Bayesian Evidential Learning in Python
DitElforbrugIExcelAPI
Dit elforbrug automatisk hentet ind i et Excelark, der viser det i grafer, du kan filtrere :)
flopy
A Python package to create, run, and post-process MODFLOW-based models.
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Medium-SoftClusteringWeights
Code and data to accompany the Medium article on soft k-means weights
ML-Course
Material for a course on machine learning based on open available lectures and exercises
ML-course-HGG
modflow-setup
Package for automating setup of MODFLOW groundwater flow models
TroelsNV's Repositories
TroelsNV/AutoBEL-v1.0
This is the repository for the Auto-BEL implementation in Python
TroelsNV/BEL1D
Matlab toolboxes for the application of Bayesian Evidential Learning 1D imaging.
TroelsNV/BELpy
Some tools to perform Bayesian Evidential Learning in Python
TroelsNV/DitElforbrugIExcelAPI
Dit elforbrug automatisk hentet ind i et Excelark, der viser det i grafer, du kan filtrere :)
TroelsNV/flopy
A Python package to create, run, and post-process MODFLOW-based models.
TroelsNV/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
TroelsNV/Medium-SoftClusteringWeights
Code and data to accompany the Medium article on soft k-means weights
TroelsNV/ML-Course
Material for a course on machine learning based on open available lectures and exercises
TroelsNV/ML-course-HGG
TroelsNV/modflow-setup
Package for automating setup of MODFLOW groundwater flow models
TroelsNV/mpslib
A C++ class for Mutiple Point Simulation algorithms
TroelsNV/Notes
This repository holds various notes on important python packages and how to install them
TroelsNV/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 ;)
TroelsNV/QUSS
Companion code for Scheidt, C, Li, L, and Caers, J. K. Quantifying Uncertainty in Subsurface Systems, John Wiley & Sons, 2017.
TroelsNV/SFRmaker
Python package to facilitate use of the streamflow-routing (SFR) package in MODFLOW.