descartesmbogning Goto Github PK

30-days-of-python

30 days of Python programming challenge is a step by step guide to learn the Python programming language in 30 days. This challenge may take up to 100 days, follow your own pace.

ai-nlp-named-entity-recognition

With the help of LangChain, this project aims to demonstrate how we can use the power of LLMs like ChatGPT to perform classic NLP tasks like named-entity-recognition.

async-pubmed-scraper

PubMed scraper for async search on a list of keywords and concurrent extraction of all found URLs, returning a DataFrame/CSV containing all article data (title, abstract, authors, affiliations, etc)

bibliometric

Scripts used in analyzing bibliometric data of COVID-19 research.

bibliometrix

An R-tool for comprehensive science mapping analysis. A package for quantitative research in scientometrics and bibliometrics.

bibliopy

Bibliometrics Analysis based on Python

biobert

BioBERT: a pre-trained biomedical language representation model

biomedical--mining

biomedical-mining

bluebert

BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).

bso

Baromètre de la Science Ouverte.

code

covid-19-literature-mining-

This repository contain codes for mining COVID-19 literature available at https://allenai.org/data/cord-19

covidgendergap

Code and data for replicating the results from paper "COVID-19 pandemic and gender disparities in biomedical research"

datasciencecoursera

datasharing

The Leek group guide to data sharing

deciphering_bacteriophage_revolution

Deciphering the Bacteriophage Revolution: A Multifaceted Exploration of Research Trends, Patent Landscape, and Equity in the Age of One Health.

derive_gender

How to use Genderize to derive gender information from first names.

dib-covid-dataset

dimensionsr

Gathering metadata about publications, patents, grants, clinical trials and policy documents from DS Dimensions using DSL API

document-clustering

Clustering PubMed Abstracts using K-Means Algorithm

ehealth-kd

Development data for the TASS-2018 Task 3: eHealth KD competition.

exemples

extract-countries-from-wos-data

extract_pubmed_affiliations

Extract the country names from Pubmed affiliations and visualize the extent of worldwide collaborations among researchers.

fetch_pubmed_abstracts_by_keyword

It provides a method of how to fetch articles along with their features and text from PubMed API.

gender.py

A simple python library to take first names and return their gender using the genderize.io API.

genderize

Python client for the Genderize.io web service.

genderizer

R package for gender predictions

get_unpaywall_data_via_the_api