medspacy
TopMost
| medspacy | TopMost | |
|---|---|---|
| 2 | 1 | |
| 479 | 143 | |
| 1.9% | - | |
| 8.3 | 7.6 | |
| 8 days ago | about 1 month ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
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medspacy
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Guidance needed: Extracting diseases and symptoms from medical text
https://github.com/medspacy/medspacy and https://allenai.github.io/scispacy/ should get you most of the way there
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[N] Google confirms DeepMind Health Streams project has been killed off
Not to hand, but there are a few frameworks. The big one is cTAKES, but also fastumls. Uh I work with two others: LEO which is a fancy version of cTAKES and medspacy, which is a medical version of spacy, which is great. Bonus points: medspacy is in python. Disclaimer: I actually work on medspacy. https://github.com/medspacy/medspacy
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What are some alternatives?
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
tf-transformers - State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).
converse - Conversational text Analysis using various NLP techniques
interpret - Fit interpretable models. Explain blackbox machine learning.
contextualized-topic-models - A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021.
scispacy - A full spaCy pipeline and models for scientific/biomedical documents.
rakun2 - RaKUn 2.0 - A fast keyword detection algorithm
practical-pytorch - Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.
course-nlp - A Code-First Introduction to NLP course
OCTIS - OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)