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Research Pulse
----------------->>> Assistive explorer of AI/ML-related research papers <<<-----------------
- arXiv database of ~2.2m research papers from 1991 to today.\
- skimmed for AI/ML-related papers: ~774k kept from 2000.
Dashboard analytics:
- subpages: global views / ranking
- user inputs: aggregate or category {&} last 1y, 5y or 23y
- source & services: GCS then GBQ {&} GCE {&} streamlit
- associated worksheets: app.py (interface), dashboard.py (logic)
Search:
- user inputs: query {&} number (top n) {&} criteria (scoring method)
- source & services: GCS then GBQ {&} GCE {&} streamlit
- associated worksheets: app.py (interface), search.py (logic), fast.py (api)
Research:
- subpages: papers / authors / citations parsers
- user inputs: paper id or author name or category
- sources & services: GCS then GBQ {&} GCE {&} Fast API then GBQ {&} streamlit {&} prefect (for citations)
- associated worksheets: app.py (interface), r_papers.py (logic), r_authors.py (logic), r_citations.py (logic), r_recommend.py (logic)
Tools:
- subpages: translation / summarization / topic alert bot
- user inputs: paper id or category
- sources & services: GCS {&} GCE {&} Fast API {&} streamlit {&} prefect (for bot)
- associated worksheets: app.py (inteface), t_translate.py (logic), t_summarize.py (logic), t_alert.py (logic), fast.py (api)
as of 11.03.2023:
├── Dockerfile
├── LICENSE
├── Makefile
├── README.md
├── requirements.txt
├── research_pulse
│ ├── api
│ │ └── fast.py
│ ├── interface
│ │ ├── app.py
│ │ └── main.py
│ ├── logic
│ │ ├── dashboard.py
│ │ ├── data_loader.py
│ │ ├── r_authors.py
│ │ ├── r_citations.py
│ │ ├── r_papers.py
│ │ ├── r_recommendation.py
│ │ ├── search.py
│ │ ├── t_alert.py
│ │ ├── t_summarize.py
│ │ └── t_translate.py
│ ├── params.py
│ └── utils.py
├── setup.py
└── tests
Bene
Ibra
Sam
Ziad
with help from TAs:
Charlotte, Romain, Adrien, Elizabeth, Charles...