Vega-Lite Chart Dataset and NL Generation Framework using LLMs
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Updated
May 30, 2024 - Python
Vega-Lite Chart Dataset and NL Generation Framework using LLMs
GenieNLP: A versatile codebase for any NLP task
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, code generation, and more...
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, code generation, and much more...
The tool uses the Quillbot website to paraphrase a text file and produces a docx file containing multiple alternatives to the original line from the text
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, code generation, and much more...
Please visit this repo for enhanced and updated open source code
AI text humanization tool with detection capabilities. Transform AI-generated content into natural, human-like writing using advanced NLP models (T5, BART, Pegasus). Features real-time AI detection, multi-model paraphrasing, and a modern Svelte frontend.
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, code generation, and much more...
Source code and data for paper ``Unsupervised Dual Paraphrasing for Two-stage Semantic Parsing" in ACL 2020.
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, code generation, and much more...
Generic resources are what you need: Style transfer tasks without task-specific parallel training data (EMNLP 2021)
Comparing and evaluating monolingual paraphrasing of English, German, Czech, and Slovene sentences, along with multilingual paraphrasing across these languages.
🥷 Free, open-source AI text humanizer. 13 providers, 4 rewrite levels, multi-pass ninja mode. No login required.
A React-based tool for paraphrasing text, ensuring uniqueness while preserving original context using AI algorithms.
A thorough research on multi-task learning
NLP notebooks
🤖 Transform AI text into engaging, human-like content that improves readability and boosts SEO performance for creators and marketers.
Iterative paraphrase generation using OpenRouter API with classification feedback loop. Generates paraphrases via dynamic prompts, classifies human vs machine output, refines generator prompt per iteration.
Add a description, image, and links to the paraphrasing topic page so that developers can more easily learn about it.
To associate your repository with the paraphrasing topic, visit your repo's landing page and select "manage topics."