pymarl2
Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios) (by hijkzzz)
nlp-recipes
Natural Language Processing Best Practices & Examples (by microsoft)
pymarl2 | nlp-recipes | |
---|---|---|
1 | 5 | |
557 | 6,020 | |
- | - | |
5.0 | 0.0 | |
4 months ago | over 1 year ago | |
Python | Python | |
Apache License 2.0 | 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.
pymarl2
Posts with mentions or reviews of pymarl2.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-08-17.
-
MARL top conference papers are ridiculous
https://github.com/hijkzzz/pymarl2 (RIIT)
nlp-recipes
Posts with mentions or reviews of nlp-recipes.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-03.
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Show HN: I turned my microeconomics textbook into a chatbot with GPT-3
https://github.com/topics/automatic-summarization
Microsoft/nlp-recipes lists current NLP tasks that would be helpful for a docs bot: https://github.com/microsoft/nlp-recipes#content
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Show HN: DocsGPT, open-source documentation assistant, fully aware of libraries
https://github.com/topics/automatic-summarization
Though now archived,
> Microsoft/nlp-recipes lists current NLP tasks that would be helpful for a docs bot: https://github.com/microsoft/nlp-recipes#content
NLP Tasks: Text Classification, Named Entity Recognition, Text Summarization, Entailment, Question Answering, Sentence Similarity, Embeddings, Sentiment Analysis, Model Explainability, and Auto-Annotatiom
- ✨ 5 Free Resources for Learning Natural Language Processing with Python 🚀
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Is there any utility software/bot that produces descriptor tags for a Reddit image post using the comments?
I found this (https://github.com/microsoft/nlp-recipes) resource and it has a list of pre-built or easily customizable NLP models that I'm going to try out.
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Building a Aspect based sentiment classification
There is an NLP recipe from Microsoft on ABSA. Have you seen this? https://github.com/microsoft/nlp-recipes/blob/master/examples/sentiment_analysis/absa/absa.ipynb
What are some alternatives?
When comparing pymarl2 and nlp-recipes you can also consider the following projects:
auto-sklearn - Automated Machine Learning with scikit-learn
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models