Text Generation
Showing 12 of 12 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.
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