Drag & drop UI to build your customized LLM flow

Friends don't let friends make certain types of data visualization - What are they and why are they bad.

Precision Medicine Knowledge Graph (PrimeKG)

The symptom ontology was designed around the guiding concept of a symptom being: “A perceived change in function, sensation or appearance reported by a patient indicative of a disease”. Understandi…

Repository for the Human Disease Ontology.

tiktoken is a fast BPE tokeniser for use with OpenAI's models.

📝 python package to calculate readability statistics of a text object - paragraphs, sentences, articles.

A Python library for calculating a large variety of metrics from text

A social networking service scraper in Python

RosaeNLG is a Natural Language Generation library for node.js and browser rendering, based on the Pug template engine.

mOWL: Machine Learning library with Ontologies

Color palette package in R inspired by works at the Metropolitan Museum of Art in New York

The mitosheet package, trymito.io, and other public Mito code.

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

This is a data processing pipeline for the NHS Mental Health Services Data Set

A simple module to collect video, text, and metadata from Tiktok.

NLP pipeline that extracts adverse drug reactions SmPC

The PVClinical project aims to build a web-based platform, built to support Active Pharmacovigilance processes via the integration of several heterogeneous data sources.

spark-based library that helps construct and query knowledge graphs from unstructured and structured data

This integrates all open source data of DrugBank into Neo4j.

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

📖 A curated list of resources dedicated to Natural Language Processing (NLP)

Official repo for the #tidytuesday project

My contributions to the #TidyTuesday challenge, a weekly data visualization challenge. All plots are 💯 created in R with ggplot2.

Public runnable examples of using John Snow Labs' NLP for Apache Spark.