Fetch Academic Research Papers from different sources
-
Updated
Dec 27, 2023 - Python
Fetch Academic Research Papers from different sources
Unofficial Python client library for Semantic Scholar APIs.
This web app aims to help scientists with their literature review using metadata from OpenAlex (OA), Semantic Scholar (S2) and Crossref (CR) in local citation networks.
Python package to autocomplete bibtex bibliographies
A Python pipeline tool and plugin ecosystem for processing technical documents. Process papers from arXiv, SemanticScholar, PDF, with GROBID, LangChain, listen as podcast. Customize your own pipelines.
Scientific literature explorer. Runs a Pubmed or Semantic Scholar search and allows user to explore high-level structure of result papers
Obsidian plugin to automatically create a note from arXiv.org, acl anthology and semantic scholar.
Citations, BibTeX, and Research
Recommender for suggesting letter writers 👍
A python library for the Semantic Scholar (S2) API with typed pydantic objects and various nifty functionalities.
Article Analysis Assistant
A simple TUI to search Research Papers
This Network-graph based literature review tool uses the open-source version of Neo4j with Jupyter Notebooks written in Python to import academic literature metadata from a variety of sources including OpenAlex, arXiv, Sematic Scholar and Web of Science. Also incorporated are OpenAI vector embeddings using Neo4j's Vector Search Index capabilities.
Knowledge Base System for research papers using ElasticSearch, SemanticScholar API and GNN
Thin wrapper over the Semantic Scholar API.
S2query is a library to search papers from Semantic Scholar.
A template to create your own literature survey engine
Living Survey of Augmented LMs
Script to import from semanticscholar.org to a local database (such as Neo4J)
Add a description, image, and links to the semantic-scholar topic page so that developers can more easily learn about it.
To associate your repository with the semantic-scholar topic, visit your repo's landing page and select "manage topics."