spaCy
Tailwind CSS
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spaCy | Tailwind CSS | |
---|---|---|
106 | 1268 | |
28,506 | 77,328 | |
1.4% | 2.2% | |
9.3 | 8.8 | |
6 days ago | 7 days ago | |
Python | JavaScript | |
MIT License | 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.
spaCy
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Who has the best documentation you’ve seen or like in 2023
spaCy https://spacy.io/
- Retrieval Augmented Generation (RAG): How To Get AI Models Learn Your Data & Give You Answers
- Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌
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What do you all think about (setq sentence-end-double-space nil)?
I chose spacy. Although it's not state of the art, it's very well established and stable.
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KOSMOS-2, a 1.6B MLLM, and GRIT,: a dataset of 100 M grounded image captions
noun_chunks: The noun phrase (extracted by spaCy) that have associated bounding boxes (predicted by GLIP). The items in the children list respectively represent 'Start of the noun chunk in caption', 'End of the noun chunk in caption', 'normalized x_min', 'normalized y_min', 'normalized x_max', 'normalized y_max', 'confidence score'.
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Looking for open source projects in Machine Learning and Data Science
You could try spaCy. This is the brains of the operation - an open-source NLP library for advanced NLP in Python. Another is DocArray - It's built on top of NumPy and Dask, and good for preprocessing, modeling, and analysis of text data.
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One does not simply "create a visualization" from unstructured data!
In this example given in the article, I can't just use SQL functions to extract the age and phone number. I guess the phone number could be regexed but ideally I should use something like spaCy and also record some kind of confidence score. This is where Spark/Dask/etc really shine. Does Airbyte support user defined functions in a language like Python?
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Training on BERT without any 'context' just questions/answer tuples?
(1) For large scale processing/tokenizing your data I would consider using something like NLTK or Spacy. That's if your books are already in text form. If they are scans, you'll need to use some OCR software first.
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Has anyone here ever used the seaNMF model for short text topic modeling, and be willing to help me get started with it?
Tokenize with NLTK, SpaCy or CoreNLP
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Transforming free-form geospatial directions into addresses - SOTA?
If you've got a specific area you're looking at, and already have street data, you could: 1. Follow the ArcGis blog's directions, creating intersection features. 2. Train a classifier (or a specific NER entity type; SpaCy would be a good package for that) on the types of cross-street references you're finding in your text. You can see some of the relevant tokens in the examples you provided - "Corner of", "along", and I'd imagine "intersection of" etc. Even simple string lookups could help you bootstrap the training data. 3. Use some sort of embedding similarity to compare the hit terms to potential cross-streets.
Tailwind CSS
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Building a Dynamic Job Board with Issues Github, Next.js, Tailwind CSS and MobX-State-Tree
Basic knowledge of Tailwind CSS and MobX-State-Tree
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Open-source timepicker components for Tailwind CSS
Tailwind CSS
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Exploring Catalyst, Tailwind's UI kit for React
Be sure to have the latest version of Tailwind CSS to avoid compatibility issues, as Catalyst uses the newest version
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Building a Fast, Efficient Web App: The Technology Stack of PromptSmithy Explained
For development of the UI components, we tried something new. Vercel has this new AI tool called v0.dev that allows developers to take advantage of shadcn/ui and Tailwind using nothing but words, which can then be easily downloaded to your local project using nothing but a simple npx command.
- Creating Nx Workspace with Eslint, Prettier and Husky Configuration
- Css2wind – a minigame to learn Tailwind CSS
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I Deployed My Own Cute Lil’ Private Internet (a.k.a. VPC)
Each app’s front end is built with Qwik and uses Tailwind for styling. The server-side is powered by Qwik City (Qwik’s official meta-framework) and runs on Node.js hosted on a shared Linode VPS. The apps also use PM2 for process management and Caddy as a reverse proxy and SSL provisioner. The data is stored in a PostgreSQL database that also runs on a shared Linode VPS. The apps interact with the database using Drizzle, an Object-Relational Mapper (ORM) for JavaScript. The entire infrastructure for both apps is managed with Terraform using the Terraform Linode provider, which was new to me, but made provisioning and destroying infrastructure really fast and easy (once I learned how it all worked).
- Free Resources Every Web Developer Should Know About
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Tailwind CSS v4.0.0 Alpha
Sure. The solution is to disable preflight or override its styles.
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🤓 My top 3 Go packages that I wish I'd known about earlier
✨ In recent months, I have been developing web projects using GOTTHA stack: Go + Templ + Tailwind CSS + htmx + Alpine.js. As soon as I'm ready to talk about all the subtleties and pitfalls, I'll post it on my social networks.
What are some alternatives?
flowbite - Open-source UI component library and front-end development framework based on Tailwind CSS
antd - An enterprise-class UI design language and React UI library
unocss - The instant on-demand atomic CSS engine.
windicss - Next generation utility-first CSS framework.
TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
emotion - 👩🎤 CSS-in-JS library designed for high performance style composition
Material UI - Ready-to-use foundational React components, free forever. It includes Material UI, which implements Google's Material Design.
vuetify - 🐉 Vue Component Framework
chakra-ui - ⚡️ Simple, Modular & Accessible UI Components for your React Applications
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
element-plus - 🎉 A Vue.js 3 UI Library made by Element team
NLTK - NLTK Source