question_generation
Neural question generation using transformers (by patil-suraj)
practical-pytorch
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained (by spro)
| question_generation | practical-pytorch | |
|---|---|---|
| 4 | 1 | |
| 1,070 | 4,335 | |
| - | - | |
| 0.0 | 0.0 | |
| 29 days ago | almost 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
question_generation
Posts with mentions or reviews of question_generation.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-15.
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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.
practical-pytorch
Posts with mentions or reviews of practical-pytorch.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Help understand RNN tutorial from pytorch site
Looks like there is no such line in the tutorial repo: https://github.com/spro/practical-pytorch/blob/master/char-rnn-classification/train.py
What are some alternatives?
When comparing question_generation and practical-pytorch you can also consider the following projects:
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
medspacy - Library for clinical NLP with spaCy.
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
mgpt - Multilingual Generative Pretrained Model
keytotext - Keywords to Sentences
Questgen.ai - Question generation using state-of-the-art Natural Language Processing algorithms
question_generation vs FLAML
practical-pytorch vs medspacy
question_generation vs mt5-M2M-comparison
practical-pytorch vs gluon-nlp
question_generation vs gluon-nlp
practical-pytorch vs mgpt
question_generation vs keytotext
practical-pytorch vs FLAML
question_generation vs mgpt
question_generation vs Questgen.ai