fastText
thesaurus_query.vim
fastText | thesaurus_query.vim | |
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8 | 3 | |
25,505 | 217 | |
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6.0 | 0.0 | |
about 2 months ago | over 1 year ago | |
HTML | Python | |
MIT License | Apache License 2.0 |
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fastText
- FastText Repo Archived
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Pixelfed and Naive Bayes: The Grandfather of Spam Filters Still Making Waves
- trained with cross-entropy, meaning that model scores can be used more effectively as a 'confidence' - e.g. for spam if you want to say something like "if prediction score > X, then filter", Naive Bayes is not ideal due to the 'naive' assumption which makes the scores very un-calibrated (it tends to give extremely high or low confidence scores for most things).
disclaimer: I haven't really thought about NLP for about 3 years so there may be something better than this now
[1] https://github.com/facebookresearch/fastText
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How worried are you about AI taking over music?
fasttext 50
- FLiP Stack Weekly for 06-Jan-2023
- Fasttext: Library for efficient text classification and representation learning
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Reverse Language Reconstructing by Consensus [D] [P]
https://github.com/facebookresearch/fastText the readme may have what I need built in. But not sure. I hate ML documentation. I would love to see data input to data output examples because people expect us to understand their line of thought, and it just doesn't work out that way. This looks like what I need, but I've completely misinterpreted ML documentation many times. Ha
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Virtual Sommelier, text classifier in the browser
To use the model trained with FastText from the browser, it is necessary to load it via WebAssembly. However, you don't require a WebAssembly knowledge as you can use the fasttext.js file which has all the glue code.
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Synonyms.vim: feedback needed.
Having the backend code in the plugin repo, and in python held me off. I wrote it to split vimscript/python from the command that finds the info, as it allows to use powerful tools like fasttext rather than a dictionary.
thesaurus_query.vim
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Synonyms.vim: feedback needed.
I knew about thesaurus_query.vim before writing this plugin.
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More Sensible Vim Thesaurus Matching Using mthesaur.txt
There are thesaurus plugins available (eg here) that provide this functionality, but I like to avoid additional plugins where I can and wanted the smallest solution possible. These plugins have lots of additional functionality that I won't use.
What are some alternatives?
Opus-MT - Open neural machine translation models and web services
vyper - Pythonic Smart Contract Language for the EVM
synonyms.vim - Finding synonyms of words within vim, save time going back and forth to thesaurus.
thesaurus - Offline database of synonyms/thesaurus
talk - Group video call for the web. No signups. No downloads. [Moved to: https://github.com/vasanthv/tlk]
TRIME - [EMNLP 2022] Training Language Models with Memory Augmentation https://arxiv.org/abs/2205.12674
wordhoard - This Python module can be used to obtain antonyms, synonyms, hypernyms, hyponyms, homophones and definitions.
Gauss - Stable Diffusion macOS native app
ChatterBot - ChatterBot is a machine learning, conversational dialog engine for creating chat bots
React - The library for web and native user interfaces.
syn - 🌾 Get synonyms and antonyms of words from Thesaurus.com and other sources in your terminal, with rich output.