GitHub Pages
Vercel
Jekyll
Netlify
Cloudflare Pages
surge.sh
Neocities
GitHub
NLP Cloud
Hugging Face
spaCy
Amazon Comprehend
Google Cloud Natural Language API
Medallia
Polyglot NLP
Lettria
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, dialogue summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, question answering, machine translation, language detection, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API.
You can either use the NLP Cloud pre-trained models, fine-tune your own models, or deploy your own models.
GitHub Pages
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Based on our record, GitHub Pages seems to be a lot more popular than NLP Cloud. While we know about 504 links to GitHub Pages, we've tracked only 41 mentions of NLP Cloud. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The site itself is a statically generated Next.js app, built in CI and deployed to GitHub Pages via actions/deploy-pages. No server to manage, no hosting bill. - Source: dev.to / 3 months ago
Static sites are fast and cheap to host, but your data goes stale the moment you deploy. This post shows how a SvelteKit portfolio site serves live data from five external sources while still deploying as static HTML to GitHub Pages. - Source: dev.to / 3 months ago
All three themes are designed for accessible deployment. You can host them for free on Netlify, GitHub Pages, Vercel, or Cloudflare Pages. The only cost is a domain name (which can be as cheap as $5/year on Porkbun). - Source: dev.to / 5 months ago
This action can store collected benchmark results in GitHub pages branch and provide a chart view. Benchmark results are visualized on the GitHub pages of your project. - Source: dev.to / 9 months ago
But that's not the case. The blog is a simple static generated website using Jekyll, it is built and served through GitHub Pages. With that in mind it makes more sense to use tools and leverage tool calling. - Source: dev.to / 10 months ago
NLP Cloud (their Dolphin and Fine-tuned GPT-NeoX models). Source: almost 3 years ago
I am using NLP Cloud more and more and have not seen such quality drop with their service. Source: almost 3 years ago
You have NLP Cloud which is a nice and comprehensive OpenAI competitor. Source: about 3 years ago
You should try NLP Cloud, they don't censor their text generation models: https://nlpcloud.com/home/playground. Source: about 3 years ago
You can use NLP Cloud, as far as I know they don't ban anybody and don't filter NSFW. Source: about 3 years ago
Vercel - Vercel is the platform for frontend developers, providing the speed and reliability innovators need to create at the moment of inspiration.
Hugging Face - The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.
Jekyll - Jekyll is a simple, blog aware, static site generator.
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
Netlify - Build, deploy and host your static site or app with a drag and drop interface and automatic delpoys from GitHub or Bitbucket
Amazon Comprehend - Discover insights and relationships in text