EdGENetworks/anuvada
Interpretable Models for NLP using PyTorch
When you have a text classification model built with PyTorch and need to understand *why* it made a particular decision, this helps you peek inside. It takes a trained model and text inputs, then highlights the words or phrases most influential in the model's classification. This is ideal for data scientists, machine learning engineers, and researchers working with NLP models who need to ensure fairness, explainability, or diagnose unexpected behavior.
105 stars. No commits in the last 6 months.
Use this if you need to interpret the decision-making process of your deep learning natural language processing models.
Not ideal if your models are not built using PyTorch or if you are not working with text classification tasks.
Stars
105
Forks
12
Language
Python
License
—
Category
Last pushed
Jan 08, 2018
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/EdGENetworks/anuvada"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Ricardokevins/Kevinpro-NLP-demo
All NLP you Need Here. 目前包含15个NLP demo的pytorch实现（大量代码借鉴于其他开源项目，原先是自己玩的，后来干脆也开源出来）
spro/practical-pytorch
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
allenai/allennlp-models
Officially supported AllenNLP models
graykode/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
apachecn/nlp-pytorch-zh
《Natural Language Processing with PyTorch》中文翻译