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GitHub / joausaga / impact-classifier
Machine learning-based classifier that identifies sentences that contains evidence of social impact of research
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joausaga%2Fimpact-classifier
Stars: 1
Forks: 0
Open Issues: 17
License: None
Language: Jupyter Notebook
Repo Size: 108 MB
Dependencies:
138
Created: about 4 years ago
Updated: 9 months ago
Last pushed: over 1 year ago
Last synced: 9 months ago
Files
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Dependencies
requirements.txt
pypi
- Flask ==1.0.2
- Jinja2 ==2.11.1
- Keras ==2.2.4
- Keras-Applications ==1.0.8
- Keras-Preprocessing ==1.1.0
- Markdown ==3.2.1
- MarkupSafe ==1.1.1
- Pillow ==7.0.0
- PyMuPDF ==1.17.0
- PyPDF2 ==1.26.0
- PyYAML ==5.3.1
- Pygments ==2.5.2
- QtPy ==1.9.0
- Send2Trash ==1.5.0
- Werkzeug ==1.0.1
- absl-py ==0.9.0
- altair ==4.1.0
- astor ==0.8.1
- astroid ==2.4.1
- attrs ==19.3.0
- backcall ==0.1.0
- base58 ==2.0.0
- beautifulsoup4 ==4.8.2
- bleach ==3.1.5
- blinker ==1.4
- blis ==0.4.1
- boto3 ==1.13.20
- botocore ==1.16.20
- bs4 ==0.0.1
- cachetools ==4.1.0
- catalogue ==1.0.0
- certifi ==2019.11.28
- chardet ==3.0.4
- click ==7.1.1
- cycler ==0.10.0
- cymem ==2.0.3
- decorator ==4.4.2
- defusedxml ==0.6.0
- docutils ==0.15.2
- entrypoints ==0.3
- enum-compat ==0.0.3
- gast ==0.2.2
- google-pasta ==0.2.0
- grpcio ==1.28.1
- h5py ==2.10.0
- idna ==2.9
- importlib-metadata ==1.5.0
- ipykernel ==5.1.4
- ipython ==7.13.0
- ipython-genutils ==0.2.0
- ipywidgets ==7.5.1
- isort ==4.3.21
- itsdangerous ==1.1.0
- jedi ==0.16.0
- jmespath ==0.10.0
- joblib ==0.14.1
- jsonschema ==3.2.0
- jupyter ==1.0.0
- jupyter-client ==6.0.0
- jupyter-console ==6.1.0
- jupyter-core ==4.6.3
- kiwisolver ==1.1.0
- lazy-object-proxy ==1.4.3
- matplotlib ==3.1.3
- mccabe ==0.6.1
- mistune ==0.8.4
- murmurhash ==1.0.2
- nbconvert ==5.6.1
- nbformat ==5.0.4
- nltk ==3.4.5
- notebook ==6.0.3
- numpy ==1.16.4
- opt-einsum ==3.2.0
- packaging ==20.4
- pandas ==1.0.1
- pandocfilters ==1.4.2
- parso ==0.6.2
- pathtools ==0.1.2
- pdfminer.six ==20200517
- pdftotext ==2.1.4
- pexpect ==4.8.0
- pickleshare ==0.7.5
- plac ==1.1.3
- preshed ==3.0.2
- prometheus-client ==0.7.1
- prompt-toolkit ==3.0.3
- protobuf ==3.11.3
- ptyprocess ==0.6.0
- pycryptodome ==3.9.7
- pydeck ==0.3.1
- pylint ==2.5.2
- pyparsing ==2.4.6
- pyrsistent ==0.15.7
- python-dateutil ==2.8.1
- pytz ==2019.3
- pyzmq ==19.0.0
- qtconsole ==4.7.1
- requests ==2.23.0
- requests-file ==1.4.3
- s3transfer ==0.3.3
- scikit-learn ==0.22.2.post1
- scipy ==1.3.0
- seaborn ==0.10.1
- six ==1.14.0
- sklearn ==0.0
- sortedcontainers ==2.2.2
- soupsieve ==2.0
- spacy ==2.2.4
- srsly ==1.0.2
- streamlit ==0.60.0
- tensorboard ==1.15.0
- tensorflow ==1.15.2
- tensorflow-estimator ==1.15.1
- termcolor ==1.1.0
- terminado ==0.8.3
- testpath ==0.4.4
- thinc ==7.4.0
- tldextract ==2.2.1
- toml ==0.10.1
- toolz ==0.10.0
- tornado ==5.1.1
- tqdm ==4.46.0
- traitlets ==4.3.3
- typed-ast ==1.4.1
- tzlocal ==2.1
- ujson ==1.35
- urllib3 ==1.25.8
- vaderSentiment ==3.2.1
- validators ==0.15.0
- wasabi ==0.6.0
- watchdog ==0.10.2
- wcwidth ==0.1.8
- webencodings ==0.5.1
- widgetsnbextension ==3.5.1
- wordcloud ==1.6.0
- wrapt ==1.12.1
- xgboost ==1.0.2
- zipp ==3.0.0