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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、…
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
100+ Chinese Word Vectors 上百种预训练中文词向量
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建,自动问答,基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱,并以该知识图谱完成自动问答与分析服务。
PyTorch implementations of deep reinforcement learning algorithms and environments
An Open-Source Package for Neural Relation Extraction (NRE)
农业知识图谱(AgriKG):农业领域的信息检索,命名实体识别,关系抽取,智能问答,辅助决策
An Open-Source Package for Knowledge Embedding (KE)
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.
OpenMMLab Model Compression Toolbox and Benchmark.
ChinesePersonRelationGraph, person relationship extraction based on nlp methods.中文人物关系知识图谱项目,内容包括中文人物关系图谱构建,基于知识库的数据回标,基于远程监督与bootstrapping方法的人物关系抽取,基于知识图谱的知识问答等应用。
[CVPR 2023] Executing your Commands via Motion Diffusion in Latent Space, a fast and high-quality motion diffusion model
Framework for evaluating Graph Neural Network models on semi-supervised node classification task
Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"
基于pytorch的中文三元组提取(命名实体识别+关系抽取)
Particle swarm optimization (PSO) that supports constraints
Pet-GPT 是一个使用 PyQt 编写的桌面宠物程序,支持调用 OpenAI 的 GPT 进行上下文对话,然后主动找你聊天!
中文信息抽取,包含实体抽取、关系抽取、事件抽取
GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]
OOD Dataset Curator and Benchmark for AI-aided Drug Discovery