WangQiqing

WangQiqing's Stars

• Chanzhaoyu/chatgpt-web

  用 Express 和 Vue3 搭建的 ChatGPT 演示网页

  Language:Vue31.3k11.2k

• jpruiz84/ScientoPy

  ScientoPy is a open-source Python based scientometric analysis tool

  Language:TeX7016

• antct/cil

  Pytorch implementation of "CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction"

  Language:Python204

• FighterLYL/GraphNeuralNetwork

  《深入浅出图神经网络：GNN原理解析》配套代码

  Language:Jupyter Notebook1.7k457

• liuSheng0/cnkiSpyder

  2021最新**知网Selenium爬虫

  Language:Python112

• ownthink/KnowledgeGraphData

  史上最大规模1.4亿中文知识图谱开源下载

  Language:Python4.9k723

• surajsimon/Prediction-of-Eletricity-genrated-in-a-thermal-power-plant-

  The dataset contains 9568 data points collected from a Combined Cycle Power Plant over 6 years (2006-2011), when the power plant was set to work with full load. Features consist of hourly average ambient variables Temperature (T), Ambient Pressure (AP), Relative Humidity (RH) and Exhaust Vacuum (V) to predict the net hourly electrical energy output (EP) of the plant. A combined cycle power plant (CCPP) is composed of gas turbines (GT), steam turbines (ST) and heat recovery steam generators. In a CCPP, the electricity is generated by gas and steam turbines, which are combined in one cycle, and is transferred from one turbine to another. While the Vacuum is colected from and has effect on the Steam Turbine, he other three of the ambient variables effect the GT performance. For comparability with our baseline studies, and to allow 5x2 fold statistical tests be carried out, we provide the data shuffled five times. For each shuffling 2-fold CV is carried out and the resulting 10 measurements are used for statistical testing. We provide the data both in .ods and in .xlsx formats.

  Language:Jupyter Notebook21

• thunlp/ERNIE

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

  Language:Python1.4k268

• guotong1988/BERT-GPU

  multi-gpu pre-training in one machine for BERT from scratch without horovod (Data Parallelism)

  Language:Python17354

• circlePi/Pretraining-Yourself-Bert-From-Scratch

  从头训练MASK BERT

  Language:Python13629

• cjymz886/text-cnn

  嵌入Word2vec词向量的CNN中文文本分类

  Language:Python443117

• cezannec/CNN_Text_Classification

  A PyTorch CNN for classifying the sentiment of movie reviews, based on the paper "Convolutional Neural Networks for Sentence Classification" by Yoon Kim (2014).

  Language:Jupyter Notebook10319

• Lizhen0628/text_classification

  使用rnn,lstm,gru,fasttext,textcnn,dpcnn,rnn-att,lstm-att,兼容huggleface/transformers，以及以transforemrs作为词嵌入模型，后面接入cnn、rnn、attention等等做文本分类。以及各个模型的对比

  Language:Python49176

• lonePatient/Bert-Multi-Label-Text-Classification

  This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.

  Language:Python860207

• Tencent/NeuralNLP-NeuralClassifier

  An Open-source Neural Hierarchical Multi-label Text Classification Toolkit

  Language:Python1.8k402

• Amin-Tgz/awesome-tensorflow-2

  👉 Tensorflow 2.x resources such as tutorial, blog, code and videos

  528104

• apachecn/nlp-pytorch-zh

  《Natural Language Processing with PyTorch》中文翻译

  Language:JavaScript717184

• liuhuanyong/EventTriplesExtraction

  An experiment and demo-level tool for text information extraction (event-triples extraction), which can be a route to the event chain and topic graph, 基于依存句法与语义角色标注的事件三元组抽取，可用于文本理解如文档主题链，事件线等应用。

  Language:Python911220

• 754563116/Entity-Relation-Extraction

  Entity Relation Extraction is a impotent sub-task of NLP.

  Language:Jupyter Notebook2

• gswycf/Joint-Extraction-of-Entities-and-Relations-Based-on-a-Novel-Tagging-Scheme

  Joint Extraction of Entities and Relations Based on cnn+rnn

  Language:Python18554

• Hou-Hou/NLP-NER-Information-Extraction-Chinese

  Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取

  Language:Python134

• lemonhu/open-entity-relation-extraction

  Knowledge triples extraction and knowledge base construction based on dependency syntax for open domain text.

  Language:Python524122

• HWHU/EntitiesRelationExtraction

  Extract relationship of two named entities, namely miRNA and gene from bio-medical journal articles.

  Language:Jupyter Notebook7

• dwadden/dygiepp

  Span-based system for named entity, relation, and event extraction.

  Language:Python571120

• thunlp/OpenNRE

  An Open-Source Package for Neural Relation Extraction (NRE)

  Language:Python4.3k1.1k

• deepfakes/faceswap

  Deepfakes Software For All

  Language:Python51.4k13.1k

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript54.2k15.8k

• liuhuanyong/LawCrimeMining

  Law Crime Mining Based on Corpus build and content analysis by NLP methods. 基于领域语料库构建与NLP方法的裁判文书与犯罪案例文本挖掘项目

  Language:Python300120