spm_omega

shinaoka / spm_omega

Sparse-modeling analytic continuation

Strong correlation/effective modelsJupyter NotebookMIT

Updated: 2022-05-31

Overview

(No description provided)

Typical use cases

Perform analytic continuation with sparse modeling

Quick Start

This software provides a Quickstart / tutorial.

💻 Open repository

README

Sparse-modeling analytic continuation

Source: https://github.com/shinaoka/spm_omega README

Richness

LowLast updated: 2022-05-31 (4 years ago)

Richness = how many of docs / examples / tests are in place, shown as 0–3 stars (1 star = 1 item; the checklist below is the breakdown). Software listed by hand (without repository data) is not assessed and is left out when filtering by a richness of 1 or more.

Yes: README
Yes: LICENSE
Yes: docs
No: examples
Yes: tests
No: CITATION
No: release

Information

Primary language: Jupyter Notebook
Languages: Jupyter Notebook, Python, Dockerfile, Shell
License: MIT
Provider: github

Contact / Contribution

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