cspell
spark-nlp
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| cspell | spark-nlp | |
|---|---|---|
| 8 | 87 | |
| 1,114 | 3,682 | |
| 6.6% | 1.5% | |
| 9.8 | 9.4 | |
| 3 days ago | 5 days ago | |
| TypeScript | Scala | |
| MIT License | Apache License 2.0 |
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.
cspell
- Google takes the pain out of code reviews, with 97% dev satisfaction
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Plugin request: cspell.nvim
CSpell is a great spell checker for code. It can be added as a source to null-ls. However, a lot of features are missing when it's used from null-ls, for instance the ability to ignore certain paths. According to this comment in a null-ls thread cspell would need its own companion plugin.
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Spell and grammar checking an entire website?
I use cspell CLI to test for spelling errors at build time so that spelling errors cannot get committed. It's very easy to automate to avoid introducing errors. I don't know of an offline library to check for grammar though.
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🚀 NodeJS + Ts.ED + TypeScript + Clean Architecture Template
Spell check
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JS React .concat('...') only when there is more text
Are this.state.representative and this.respresentative supposed to be the same thing? First off, they are misspelled, second, not the same property. Highly recommend at least using a code spell checker cspell and VS Code - Code Spell Checker if you aren't going to use TypeScript or ESLint.
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Need criticism, a stock watchlist
You could definitely use a spellchecker. cspell is a great programatic spellchecker that you can add to your commit or build validations to enforce that things are spelled correctly.
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Ask HN: Let's Build CheckStyle for Bash?
- cspell: https://github.com/streetsidesoftware/cspell/tree/main/packages/cspell
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Help understanding nested Axios.get
Also, it's response not responce. Highly recommend using the Code Spellchecker plugin for VS Code and/or the cspell cli for spellchecking.
spark-nlp
- Spark NLP 5.1.0: Introducing state-of-the-art OpenAI Whisper speech-to-text, OpenAI Embeddings and Completion transformers, MPNet text embeddings, ONNX support for E5 text embeddings, new multi-lingual BART Zero-Shot text classification, and much more!
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PySpark for NLP Workshop - Materials and Jupyter Notebooks
I recently had the opportunity to run a workshop at ODSC East, focusing on using PySpark for Natural Language Processing (NLP). Had a great time explaining PySpark's fundamentals and exploring the Spark NLP library.
- Spark-NLP 4.4.0: New BART for Text Translation & Summarization, new ConvNeXT Transformer for Image Classification, new Zero-Shot Text Classification by BERT, more than 4000+ state-of-the-art models, and many more! · JohnSnowLabs/spark-nlp
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Transformers.js
I'd like to use this transformer model in rust (because it's on the backend, because I can use data munging and it will be faster, and for other reasons). It looks like a good model! But, it doesn't compile on Apple Silicon for wierd linking issues that aren't apparent - https://github.com/guillaume-be/rust-bert/issues/338. I've spent a large part of today and yesterday attempting to find out why. The only other library that I've found for doing this kind of thing programmatically (particularly sentiment analysis) is this (https://github.com/JohnSnowLabs/spark-nlp). Some of the models look a little older, which is OK, but it does mean that I'd have to do this in another language.
Does anyone know of any sentiment analysis software that can be tuned (other than VADER - I'm looking for more along the lines of a transformer model) - like BERT, but is pretrained and can be used in Rust or Python? Otherwise I'll probably using spark-nlp and having to spin another process.
Thanks.
- Release John Snow Labs Spark-NLP 4.3.0: New HuBERT for speech recognition, new Swin Transformer for Image Classification, new Zero-shot annotator for Entity Recognition, CamemBERT for question answering, new Databricks and EMR with support for Spark 3.3, 1000+ state-of-the-art models and many more!
What are some alternatives?
hunspell - The most popular spellchecking library.
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
coc-spell-checker - A basic spell checker that works well with camelCase code for (Neo)vim
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
dictionaries - Hunspell dictionaries in UTF-8
nlu - 1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
vscode-ltex - LTeX: Grammar/spell checker :mag::heavy_check_mark: for VSÂ Code using LanguageTool with support for LaTeX :mortar_board:, Markdown :pencil:, and others
pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
bash-language-server - A language server for Bash
clj-djl - clojure wrap for deep java library(DJL.ai)
cspell.nvim - A companion plugin for null-ls/none-ls, adding support for CSpell diagnostics and code actions.
Tribuo - Tribuo - A Java machine learning library