mt5-M2M-comparison
question_generation
Our great sponsors
mt5-M2M-comparison | question_generation | |
---|---|---|
1 | 4 | |
13 | 1,070 | |
- | - | |
3.8 | 0.0 | |
almost 3 years ago | 25 days ago | |
Jupyter Notebook | Jupyter Notebook | |
- | MIT License |
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.
mt5-M2M-comparison
-
[D] Comparing M2M to mT5 in low resource translation (10k dataset Yoruba - English)
I found no clear comparison nor a clear guide on how to fine tune both of the models on the translation task, so I decided to write it myself. (code: https://github.com/maroxtn/mt5-M2M-comparison)
question_generation
-
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.
-
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.
-
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
-
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?
fastT5 - ⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
keytotext - Keywords to Sentences
gluon-nlp - NLP made easy
OpenNMT-Tutorial - Neural Machine Translation (NMT) tutorial. Data preprocessing, model training, evaluation, and deployment.
practical-pytorch - Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
100DaysOfML - 100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building
fake-news - Building a fake news detector from initial ideation to model deployment
mgpt - Multilingual Generative Pretrained Model
Questgen.ai - Question generation using state-of-the-art Natural Language Processing algorithms