Lists (1)
Sort Name ascending (A-Z)
Stars
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
本项目旨在收集开源的表格智能任务数据集(比如表格问答、表格-文本生成等),将原始数据整理为指令微调格式的数据并微调LLM,进而增强LLM对于表格数据的理解,最终构建出专门面向表格智能任务的大型语言模型。
Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.
A pretrained BERT model on materials science literature
DISC-LawLLM, an intelligent legal system utilizing large language models (LLMs) to provide a wide range of legal services
DISC-FinLLM,中文金融大语言模型(LLM),旨在为用户提供金融场景下专业、智能、全面的金融咨询服务。DISC-FinLLM, a Chinese financial large language model (LLM) designed to provide users with professional, intelligent, and comprehensive financ…
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
Repository of DISC-MedLLM, it is a comprehensive solution that leverages Large Language Models (LLMs) to provide accurate and truthful medical response in end-to-end conversational healthcare servi…
ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型
ChatLaw:A Powerful LLM Tailored for Chinese Legal. 中文法律大模型
PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list.
TuckER: Tensor Factorization for Knowledge Graph Completion
Convolutional 2D Knowledge Graph Embeddings resources
Contextual Parameter Generation for Knowledge Graph Link Prediction
QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings (TheWebConf WWW 2022) (Pytorch)
Repository for Zheng and Guha et al., 2021, "When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset of 53,000+ Legal Holdings"
中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…
QAonMilitaryKG,QaSystem based on military knowledge graph that stores in mongodb which is different from the previous one, 基于mongodb存储的军事领域知识图谱问答项目,包括飞行器、太空装备等8大类,100余小类,共计5800项的军事武器知识库,该项目不使用图数据库进…
Combining relational context and relational paths for knowledge graph completion