fireman-project
Science Score: 57.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 1 DOI reference(s) in README -
○Academic publication links
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (9.0%) to scientific vocabulary
Last synced: 6 months ago
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JSON representation
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Repository
Basic Info
- Host: GitHub
- Owner: 5uperpalo
- Language: Jupyter Notebook
- Default Branch: master
- Size: 53.4 MB
Statistics
- Stars: 8
- Watchers: 3
- Forks: 1
- Open Issues: 0
- Releases: 0
Created almost 6 years ago
· Last pushed about 3 years ago
Metadata Files
Readme
Contributing
Citation
README.md
FIREMAN-project main repository
Machine learning scripts and notebooks related to FIREMAN project.
Documentation: https://fireman-project.readthedocs.io
Artificial dataset used for development:
Repositories:
- Data imputation - data imputation scripts, notebooks and utilities
Scripts and notebooks:
- 00 Preprocessing - general approach to preprocessing of the dataset with exploratory data science(feature values/distributions/correlations/etc.)
- 01 Classification - basic application and result analysis of scikit-learn classifiers
- 02 Extended TEP - transformation of Extended TEP dataset in .rdata format to csv
- 03 Clustering - unsupervised density-based clustering analysis of the dataset using DBSCAN and OPTICS
- 04 Stream-based ML - MOA - stream-based machine learning using MOA
- 05 Pipeline - machine learning pipeline template
- 06 Stream-based ML - scikit-multiflow - stream-bades machine learning and concept drift detection using scikit-multiflow, project closely related to MOA
- 07 PCA - dataset analysis using PCA related to a collaborating student masters thesis
- 08 related analysis - dataset analysis related to a collaborating student masters thesis
- 09 PowerConverter dataset - Power Converter dataset preprocessing
- 10 PowerConverter dataset classification using DL - Power Converter dataset preprocessing
- 11 PowerConverter dataset classification using LightGBM - Power Converter dataset preprocessing
Additional materials:
- CSC/ - scripts usable in CSC
- workshop_05132020/ - materials and presentations related to Fireman ML workshop organized in May 2020
- adjusted Anomaly-Transformer scripts
Owner
- Name: Pavol Mulinka
- Login: 5uperpalo
- Kind: user
- Location: Barcelona, ES
- Company: CTTC
- Website: https://5uperpalo.github.io/online-cv/
- Repositories: 18
- Profile: https://github.com/5uperpalo
Data Scientist / Machine learning Enthusiast & former network engineer
Citation (CITATION.cff)
cff-version: 1.2.0
message: If you like or use this software, please cite it using these metadata.
title: FIREMAN
abstract: FIREMAN analysis scripts and documentation.
authors:
- family-names: Mulinka
given-names: Pavol
orcid: "https://orcid.org/0000-0002-9394-8794"
- name: "FIREMAN"
# version: 0.0.1
# date-released: "2021-07-18"
# identifiers:
# - description: This is the collection of archived snapshots of all versions of My Research Software
# type: doi
# value: "10.5281/zenodo.123456"
# - description: This is the archived snapshot of version 0.11.2 of My Research Software
# type: doi
# value: "10.5281/zenodo.123457"
# license: Apache-2.0
repository-code: "https://github.com/5uperpalo/FIREMAN-project"
GitHub Events
Total
- Watch event: 1
Last Year
- Watch event: 1
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
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Dependencies
docs/requirements.txt
pypi
- mkdocs *
- mkdocs-autolinks-plugin *
- mkdocs-git-authors-plugin *
- mkdocs-jupyter *
- mkdocs-material *
- mkdocstrings *
- mkdocstrings-python *
requirements.txt
pypi
- dill *
- h2o *
- lightgbm *
- matplotlib *
- numpy =1.24
- numpy *
- pandas *
- pytorch_widedeep *
- ray *
- scipy *
- shap *
- sklearn *
- sklearn_pandas *
- torch *
- torchmetrics *
- wandb *