nlp-recipes
link-grammar
| nlp-recipes | link-grammar | |
|---|---|---|
| 5 | 1 | |
| 6,020 | 383 | |
| - | 0.5% | |
| 0.0 | 8.9 | |
| over 1 year ago | 9 days ago | |
| Python | C | |
| MIT License | GNU Lesser General Public License v3.0 only |
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.
nlp-recipes
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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
link-grammar
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Adding Grammar Checking To Gtk4's TextView
The Word Processor did not abandon us. AbiWord's Link Grammar Parser is free, open source, and actively maintained. There's bindings for Java, Node.js, Perl, Python, and Vala.
What are some alternatives?
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
vala-www - Website of the Vala programming language
OpenPrompt - An Open-Source Framework for Prompt-Learning.
languagetool - Style and Grammar Checker for 25+ Languages
rasa - 💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
mgpt - Multilingual Generative Pretrained Model
deepsegment - A sentence segmenter that actually works!
tree-sitter-twig - Twig grammar for Tree-sitter
pymarl2 - Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
libpostal - A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.
Parrot_Paraphraser - A practical and feature-rich paraphrasing framework to augment human intents in text form to build robust NLU models for conversational engines. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
gtk4-textview-grammar - Playing around with grammar checking on GTK4's TextView