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ernie

Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"

fastchat

The release repo for "Vicuna: An Open Chatbot Impressing GPT-4"

git-learn

graph-transformer

Universal Graph Transformer Self-Attention Networks

graphical-sql-interview-questions

图解SQL面试题

hanlp

中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

health_quesstion_classify

多标签分类 公众健康问句分类 决赛第8名解决方案

intelliq

Advanced Multi-Turn QA System with LLM and Intent Recognition. 基于LLM意图识别、参数抽取结合slot词槽技术实现多轮问答、NL2API

jiancai

my code are here

k3m

Code and Data for paper: Knowledge Perceived Multi-modal Pretraining in E-commerce (ACM MM2021)

knowledgedistillation

Knowledge distillation in text classification with pytorch. 知识蒸馏，中文文本分类，教师模型BERT、XLNET，学生模型biLSTM。

lavis

LAVIS - A One-stop Library for Language-Vision Intelligence

llava

Large Language-and-Vision Assistant built towards multimodal GPT-4 level capabilities.

models

神经网络各种模型PyTorch实现

multidimensional-time-series-with-transformer

transformer/self-attention for Multidimensional time series forecasting 使用transformer架构实现多维时间预测

multivariate-time-series-forecasting-using-lstm

my_own

个人记录

named-entity-recognition

Using BiLSTM and the BiLSTM-CRF network to complete Named Entity Recognition task

neural-corpus-indexer-nci

document2docid

nlp-creating

学习nlp的

nlp-series-newwordsmining-ptmpretraining

NLP实验：新词挖掘+预训练模型继续Pre-training

nlp_ability

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

nlp_notes

自然语言处理学习笔记：机器学习及深度学习原理和示例，基于 Tensorflow 和 PyTorch 框架，Transformer、BERT、ALBERT等最新预训练模型及源代码详解，及基于预训练模型进行各种自然语言处理任务。模型部署

nlper-arsenal

收录NLP竞赛策略实现、各任务baseline、相关竞赛经验贴（当前赛事、往期赛事、训练赛）、NLP会议时间、常用自媒体、GPU推荐等，持续更新中

pelt

Source code for "A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models"

ppoxfamily

PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）

pretrain_wwm

FLASHQuad_pytorch

pretrained-language-model

Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

protaugment

Code for ProtAugment: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)