#自然语言处理#Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
#大语言模型#Text Generator is a versatile plugin for Obsidian that allows you to generate text content using various AI providers, including OpenAI, Anthropic, Google and local models.
#自然语言处理#Evaluation code for various unsupervised automated metrics for Natural Language Generation.
#计算机科学#基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口
#自然语言处理#Neural question generation using transformers
#自然语言处理#🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance m...
#自然语言处理#🎯🗯 Dataset generation for AI chatbots, NLP tasks, named entity recognition or text classification models using a simple DSL!
Java API for Natural Language Generation. Originally developed by Ehud Reiter at the University of Aberdeen’s Department of Computing Science and co-founder of Arria NLG. This git repo is the official...
Accelerated Text is a no-code natural language generation platform. It will help you construct document plans which define how your data is converted to textual descriptions varying in wording and str...
#自然语言处理#Implementation of ChatGPT RLHF (Reinforcement Learning with Human Feedback) on any generation model in huggingface's transformer (blommz-176B/bloom/gpt/bart/T5/MetaICL)
Author: Wenhao Yu (wyu1@nd.edu). ACM Computing Survey'22. Reading list for knowledge-enhanced text generation, with a survey.
Neural network-based chess engine capable of natural language commentary
#Awesome#A curated list of resources dedicated to Natural Language Generation (NLG)
中文文本摘要（text summarization）工具包, 抽取式中文文本摘要 Extractive text summary of Lead3、keyword、textrank、text teaser、word significance、LDA、LSI、NMF。（graph，feature，topic model，summarize tool or tookit）
#自然语言处理#Abstractive summarisation using Bert as encoder and Transformer Decoder
#自然语言处理#An NLP system for generating reading comprehension questions
#自然语言处理#Papers and Book to look at when starting AGI 📚