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sintel-paper

Reproducing Sintel paper results.

https://github.com/sarahmish/sintel-paper

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
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    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 (7.5%) to scientific vocabulary
Last synced: 8 months ago · JSON representation ·

Repository

Reproducing Sintel paper results.

Basic Info
Statistics
  • Stars: 3
  • Watchers: 1
  • Forks: 2
  • Open Issues: 1
  • Releases: 1
Created almost 5 years ago · Last pushed over 3 years ago
Metadata Files
Readme Changelog License Citation

README.md

sintel-analysis

Replication files for Sintel.

S. Alnegheimish, D. Liu, C. Sala, L. Berti-Equille, and K. Veeramachaneni. "Sintel: A Machine Learning Framework to Extract Insights from Signals" SIGMOD 2022.

Usage

Experiments were made in python 3.7. To reproduce the analysis made, create a virtual environment and install required packages, then run the script directly. All results will be saved to ./output directory.

bash conda create --name sintel-env python=3.7 conda activate sintel-env pip install -r requirements.txt python analysis.py

Figures

To reproduce figures, refer to notebooks/analysis.ipynb.

Resources

Libraries in the Sintel ecosystem that were used in our analysis

  • Anomaly detection in time series using Orion
  • Time series classification using Draco
  • Sintel API
  • MTV visual analytics system

Owner

  • Name: Sarah Alnegheimish
  • Login: sarahmish
  • Kind: user
  • Location: Cambridge, MA
  • Company: MIT

EECS @MIT

Citation (CITATION.cff) 

cff-version: 0.1.0
title: "Sintel: A Machine Learning Framework to Extract Insights from Signals"
message: "Reproducibility repo of Sintel".
authors:
  - family-names: "Alnegheimish"
    given-names: "Sarah"
    orcid: "https://orcid.org/0000-0003-4516-5856"
version: 0.1.0
date-released: 2022-02-17

GitHub Events

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  • Watch event: 1
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Last synced: almost 2 years ago

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  • Total Commits: 26
  • Total Committers: 2
  • Avg Commits per committer: 13.0
  • Development Distribution Score (DDS): 0.038
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Top Committers
Name Email Commits
sarahmish s****h@g****m 25
Teja Tadepalli 9****i 1

Issues and Pull Requests

Last synced: about 1 year ago

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  • Total issues: 2
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Top Authors
Issue Authors
  • AungDev (1)
  • sarahmish (1)
Pull Request Authors
  • sarahmish (3)
  • TejaTadepalli (1)
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Dependencies

requirements.txt pypi
  • Babel ==2.9.1
  • HeapDict ==1.0.1
  • Jinja2 ==3.0.2
  • Keras ==2.3.1
  • Keras-Applications ==1.0.8
  • Keras-Preprocessing ==1.1.2
  • Markdown ==2.6.11
  • MarkupSafe ==2.0.1
  • Pillow ==8.4.0
  • PyWavelets ==1.1.1
  • PyYAML ==6.0
  • Pygments ==2.10.0
  • Send2Trash ==1.7.1
  • Werkzeug ==2.0.2
  • XlsxWriter ==3.0.1
  • absl-py ==0.14.1
  • alabaster ==0.7.12
  • astor ==0.8.1
  • async-generator ==1.10
  • attrs ==21.2.0
  • autodocsumm ==0.2.7
  • autoflake ==1.4
  • autopep8 ==1.5.7
  • azure-cognitiveservices-anomalydetector ==0.3.0
  • azure-common ==1.1.27
  • backcall ==0.2.0
  • baytune ==0.3.12
  • beautifulsoup4 ==4.10.0
  • bleach ==4.1.0
  • botocore ==1.21.63
  • bumpversion ==0.5.3
  • certifi ==2021.10.8
  • cffi ==1.15.0
  • charset-normalizer ==2.0.7
  • click ==7.1.2
  • cloudpickle ==2.0.0
  • colorama ==0.4.4
  • contextvars ==2.4
  • copulas ==0.3.3
  • coverage ==5.5
  • cryptography ==35.0.0
  • cycler ==0.10.0
  • dask ==2021.3.0
  • decorator ==4.4.2
  • defusedxml ==0.7.1
  • distlib ==0.3.3
  • distributed ==2021.3.0
  • docutils ==0.15.2
  • entrypoints ==0.3
  • featuretools ==0.11.0
  • filelock ==3.3.1
  • flake8 ==3.9.2
  • fsspec ==2021.10.1
  • future ==0.18.2
  • gast ==0.2.2
  • google-pasta ==0.2.0
  • grpcio ==1.41.0
  • h5py ==2.10.0
  • idna ==3.3
  • imagesize ==1.2.0
  • immutables ==0.16
  • importlib-metadata ==4.8.1
  • importlib-resources ==5.3.0
  • iniconfig ==1.1.1
  • ipython ==7.4.0
  • ipython-genutils ==0.2.0
  • iso639 ==0.1.4
  • isodate ==0.6.0
  • isort ==4.3.21
  • jedi ==0.18.0
  • jeepney ==0.7.1
  • jmespath ==0.10.0
  • joblib ==1.1.0
  • jsonschema ==3.2.0
  • jupyter-client ==7.0.6
  • jupyter-core ==4.8.1
  • jupyterlab-pygments ==0.1.2
  • keyring ==23.2.1
  • kiwisolver ==1.3.1
  • langdetect ==1.0.9
  • lightfm ==1.16
  • llvmlite ==0.34.0
  • m2r2 ==0.2.8
  • markdown-rundoc ==0.3.1
  • matplotlib ==3.2.1
  • mccabe ==0.6.1
  • mistune ==0.8.4
  • mlblocks ==0.3.4
  • mlprimitives ==0.2.5
  • mongoengine ==0.23.1
  • msgpack ==1.0.2
  • msrest ==0.6.21
  • nbclient ==0.5.4
  • nbconvert ==6.0.7
  • nbformat ==5.1.3
  • nbsphinx ==0.6.1
  • nest-asyncio ==1.5.1
  • networkx ==2.5.1
  • nltk ==3.6.5
  • numba ==0.51.2
  • numpy ==1.16.6
  • oauthlib ==3.1.1
  • opencv-python ==4.5.3.56
  • opt-einsum ==3.3.0
  • orion-ml ==0.2.1
  • packaging ==21.0
  • pandas ==0.24.2
  • pandocfilters ==1.5.0
  • parso ==0.8.2
  • pathtools ==0.1.2
  • patsy ==0.5.2
  • pexpect ==4.8.0
  • pickleshare ==0.7.5
  • pkginfo ==1.7.1
  • platformdirs ==2.4.0
  • pluggy ==1.0.0
  • prompt-toolkit ==2.0.10
  • protobuf ==3.18.1
  • psutil ==5.8.0
  • ptyprocess ==0.7.0
  • py ==1.10.0
  • pycodestyle ==2.7.0
  • pycparser ==2.20
  • pydata-sphinx-theme ==0.7.1
  • pydocstyle ==3.0.0
  • pyflakes ==2.3.1
  • pymongo ==3.12.0
  • pyparsing ==2.4.7
  • pyrsistent ==0.18.0
  • pytest ==6.2.5
  • pytest-cov ==3.0.0
  • python-dateutil ==2.8.2
  • python-louvain ==0.13
  • pyts ==0.10.0
  • pytz ==2021.3
  • pyzmq ==22.3.0
  • readme-renderer ==30.0
  • regex ==2021.10.8
  • requests ==2.26.0
  • requests-oauthlib ==1.3.0
  • requests-toolbelt ==0.9.1
  • rfc3986 ==1.5.0
  • rundoc ==0.4.5
  • s3fs ==0.4.2
  • scikit-image ==0.14.5
  • scikit-learn ==0.20.4
  • scipy ==1.5.4
  • seaborn ==0.11.1
  • six ==1.16.0
  • smart-open ==5.2.1
  • snowballstemmer ==2.1.0
  • sortedcontainers ==2.4.0
  • soupsieve ==2.2.1
  • statsmodels ==0.12.2
  • tabulate ==0.8.9
  • tblib ==1.7.0
  • tensorboard ==1.15.0
  • tensorflow ==1.15.5
  • tensorflow-estimator ==1.15.1
  • termcolor ==1.1.0
  • testpath ==0.5.0
  • toml ==0.10.2
  • toolz ==0.11.1
  • tornado ==6.1
  • tox ==3.24.4
  • tqdm ==4.49.0
  • traitlets ==4.3.3
  • twine ==3.4.2
  • typing-extensions ==3.10.0.2
  • urllib3 ==1.26.7
  • wcwidth ==0.2.5
  • webencodings ==0.5.1
  • wrapt ==1.13.2
  • xgboost ==0.90
  • zict ==2.0.0
  • zipp ==3.6.0
setup.py pypi
  • notebook *
  • orion-ml *