Text Generation
Showing 36 of 43 projects
A comprehensive collection of Chinese NLP resources, datasets, tools, and pre-trained models for developers and researchers.
A curated list of open-source large language models licensed for commercial use, including models for general text and code generation.
An unsupervised text tokenizer and detokenizer for neural network-based text generation systems with subword units.
A Python module for easily training character- or word-level text-generating neural networks on any dataset with minimal code.
A domain-specific generative language model pre-trained on biomedical literature for text generation and mining tasks.
A Jinja2/Django-inspired template engine for Rust, featuring filters, testers, and inheritance.
A Rust-native port of Hugging Face Transformers providing ready-to-use NLP pipelines and transformer models like BERT, GPT2, and T5.
A modular toolkit for machine learning, natural language processing, and text generation with TensorFlow and PyTorch versions.
A JavaScript library for generating text and stories using context-free grammars and rule-based expansion.
A header-only template engine for modern C++ with a Jinja2-like syntax, using nlohmann/json for data.
A Python package for fine-tuning and generating text with GPT-2 and GPT Neo models using PyTorch and Hugging Face Transformers.
A Neovim plugin for generating and editing text using local LLMs like Llama and Mistral via Ollama.
A Python library for evaluating natural language generation models using multiple unsupervised automated metrics.
An open-source study on neural question generation using transformers, providing simplified training and inference pipelines.
A Java template engine for generating source code, web pages, emails, and other formatted text output with strict model-view separation.
A GPT-2 variant that generates plausible fake words, definitions, and usage examples from scratch.
A Java API for Natural Language Generation that handles morphological realization, text generation, and basic aggregation.
An Emacs org-mode minor mode that integrates generative AI models like ChatGPT, DALL-E, and Stable Diffusion for text and image generation.
A no-code natural language generation platform that transforms structured data into varied textual descriptions.
A transfer learning-based evaluation metric for Natural Language Generation that scores text fluency and meaning.
TensorFlow implementation of character-aware neural language models using CNN, highway networks, and LSTM.
A Google Docs and Microsoft Word add-on that integrates ChatGPT directly into document editors for AI-powered text assistance.
A Raycast extension that brings OpenAI's ChatGPT directly to your macOS command bar for quick AI-powered conversations.
A pure Bash implementation of Mustache templates for logic-less text generation in shell scripts.
An AI plugin for Payload CMS that adds content generation, translation, proofreading, and image/voice creation to your content workflow.
A curated list of resources dedicated to Natural Language Generation (NLG), including datasets, libraries, tools, and research.
A curated list of resources dedicated to Natural Language Generation (NLG), including datasets, libraries, tools, and research.
An AI system that incrementally generates scientific paper drafts by predicting links between concepts and generating text sections.
A command-line tool for holistic comparison and error analysis of language generation systems like machine translation and summarization.
A pure Go package for running inference with pre-trained Transformer models from Hugging Face, enabling NLP tasks without external languages.
A Microsoft Word add-in that integrates OpenAI's ChatGPT to enhance writing with AI-powered text generation.
A curated list of amusing Markov chain outputs and generators for entertainment and inspiration.
A Java library for parsing and generating text using combinatory categorial grammar and hybrid logic dependency semantics.
A Rust implementation of the Mustache templating language specification for flexible template rendering.
A TensorFlow implementation of neural text generation from structured data, converting tabular information into natural language summaries.
A Delphi templating engine for dynamic text generation in emails, HTML, reports, source code, and configuration files.
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