keytotext
question_generation
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| keytotext | question_generation | |
|---|---|---|
| 5 | 4 | |
| 435 | 1,070 | |
| - | - | |
| 3.1 | 0.0 | |
| 8 months ago | 20 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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keytotext
- [Machine Learning] [P] Implémentation de la génération de texte à partir de mots clés Python Module
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[P] Implementation of text generation from keywords Python Module
I am trying to find a module with a key to text generator using NLP models, I have been using "keytotext" (https://github.com/gagan3012/keytotext) which has been working really well up until now but today it seems like the models have been taken down from https://huggingface.co/models.
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Library that takes a pool of words and spits out sentences with only those words?
This library can generate sentences based on the given keywords using T5. I feel like this is probably close to what you are looking for.
- Keytotext Convert Keywords to Large Texts
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Keytotext
Hello, Presenting Keytotext: Keytotext is an NLP model that can convert keywords to sentences and larger texts. It is built using the T5 model. Keytotext has a PyPI installation and on-demand inference API too. It also features a UI built using streamlit and a GPU-enabled colab notebook for easy usage! Please do check it out on GitHub: https://github.com/gagan3012/keytotext Please to star 📷 if you liked the work!
question_generation
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Yes/No style Question and Answer Generation
I have seen models which do something similar but the questions they ask are not in a Yes/No style such as this T5 - based Question Generator. Essentially, I was wondering how I would go about developing such a model.
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Best solution to make static chatbot for a minecraft server?
I've been able to get good domain-specific performance out of RoBERTa by training it on SQuAD (general QA) and synthetic domain-specific data created via https://github.com/patil-suraj/question_generation, took about 1000 domain-specific QA pairs.
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State of the art models for Question generation
Not sure if it's SOTA but this project and paper is really interesting and quite easy to use : https://github.com/patil-suraj/question_generation
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How could I go about turning a bunch of text into a series of questions with answers?
Take a look at https://github.com/patil-suraj/question_generation . It's a T5 model that tuned for generating questions for multiple formats (reading comprehension, multiple choice, cloze, etc) given an input text.
What are some alternatives?
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
adaptnlp - An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.
mt5-M2M-comparison - Comparing M2M and mT5 on a rare language pairs, blog post: https://medium.com/@abdessalemboukil/comparing-facebooks-m2m-to-mt5-in-low-resources-translation-english-yoruba-ef56624d2b75
gluon-nlp - NLP made easy
aws-lambda-docker-serverless-inference - Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.
practical-pytorch - Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
Machine-Learning-Cyrillic-Classifier - This is a web app where you can draw a letter in the russian alphabet and the ML algorithm will predict the letter that you drew.
mgpt - Multilingual Generative Pretrained Model
predict-subreddit - NLP model that predicts subreddit based on the title of a post
Questgen.ai - Question generation using state-of-the-art Natural Language Processing algorithms