Tommy Odland
tommyod
Consultant - data science and mathematical modeling.
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Python
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Top Repositories
Kernel Density Estimation in Python
A collection of resources for pandas (Python) and related subjects.
An efficient Python implementation of the Apriori algorithm.
Compute the Pareto (non-dominated) set, i.e., skyline operator/query.
A collection of useful LaTeX templates.
The Python strength program generator.
Repositories
55Graph informed triangular ensemble-to-posterior maps
An efficient Python implementation of the Apriori algorithm.
Kernel Density Estimation in Python
Code that attempts to solve NRK's game "Former" (similar to SameGame).
A collection of resources for pandas (Python) and related subjects.
Generalized Additive Models in Python.
Notes and solutions for learning machine learning.
Clean, educational implementations of vital algorithms in Python.
Solutions to Advent of Code 2020.
A collection of useful LaTeX templates.
No description provided.
Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
Noevim configuration
Python implementation of arithmetic encoding/decoding for lossless data compression.
Compute the Pareto (non-dominated) set, i.e., skyline operator/query.
Semeio is a collection of jobs and workflow jobs used in ert (https://github.com/equinor/ert).
fmu-tools is a library containing tools for pre- and post-processing in a Fast Model Update (FMU) context
Theory and Python code for decline curve analysis (DCA).
A Python package for Monte Carlo sampling.
Personal dotfiles for Linux.
The Python strength program generator.
Wanna see my collection of random numbers?
Wiki pages based on the Docusaurus framework
Slides and source code for presentation.
An implementation of Fenwick trees (Fenwick 1994).
Computations on locally compact Abelian groups.
No description provided.
Graphical Sparse Precision Matrix Estimation | For very high dimensions and with asymptotic regularization
Data Assimilation in Python for teaching purposes
ERT - Ensemble based Reservoir Tool - is designed for running ensembles of dynamical models such as reservoir models, in order to do sensitivity analysis and data assimilation. ERT supports data assimilation using the Ensemble Smoother (ES), Ensemble Smoother with Multiple Data Assimilation (ES-MDA) and Iterative Ensemble Smoother (IES).