https://github.com/avivajpeyi/moss
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (12.2%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: avivajpeyi
- Language: Python
- Default Branch: main
- Size: 1.11 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 2
- Releases: 0
Metadata Files
README.md
MOSS
Summary：
- The "code" file includes codes and data for "Fast Bayesian Inference on Spectral Analysisof Multivariate Stationary Time Series" by Zhixiong Hu and Raquel Prado.
- The codes are written in Python 3.7.0 (suggested version >= 3.0).
- Author: Zhixiong Hu
Structure of the files: - "simulationstudydemo.py" and "dataanalysisdemo.py" are runbooks to show how to use our approach to reproduce part of the results in the paper. - "model" file has the model module "spec_vi.py" that defines the framework and model. - "data" file includes example data and its processing scripts.
Quick guide: To run the runbooks, two things needs to be done: 1) Set "code" as the work directory. 2) Install relevant packages: - pip install --upgrade tensorflow (suggested version >= 2.1) (The code runs on either CPU or GPU. But GPU usage requires extra GPU setup, which is beyond the workload of this demo.) - pip install --upgrade tensorflow-probability (suggested version >= 0.9) - pip install pandas (suggested version >= 1.0.3) - pip install numpy (suggested version >= 1.19.5) - (pip install scipy if necessary, this package should be included in python by default)
To download and use python, we suggest using Anaconda and the Spyder IDE inside Anaconda to run the .py files.
Useful linkes:
- Anaconda: https://www.anaconda.com/products/individual
- Tensorflow: https://www.tensorflow.org/api_docs (Tensorflow GPU setup: https://www.tensorflow.org/install/gpu)
- tensorflow-probability: https://www.tensorflow.org/probability
Note We are actively updating the code. For example, currently the name convention in "spec_vi.py" is messy. In the next step, we want to follow PeP-8 style to improve the readability and consistency of our Python code.
Owner
- Name: Avi Vajpeyi
- Login: avivajpeyi
- Kind: user
- Company: Monash University
- Website: https://avivajpeyi.github.io/
- Repositories: 28
- Profile: https://github.com/avivajpeyi
Astrophysics PhD student
GitHub Events
Total
- Push event: 55
- Pull request event: 1
- Create event: 1
Last Year
- Push event: 55
- Pull request event: 1
- Create event: 1
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 0
- Total pull requests: 2
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 2
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 1
Past Year
- Issues: 0
- Pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 1
Top Authors
Issue Authors
Pull Request Authors
- pre-commit-ci[bot] (2)
- jianan-joseph-liu (2)