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TensorFlow code and pre-trained models for BERT
Mapping a variable-length sentence to a fixed-length vector using BERT model
Use Google's BERT for named entity recognition (CoNLL-2003 as the dataset).
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)
Tensorflow implementation of the Convolutional Recurrent Neural Network model with max pooling and attentive pooling, for relation classification on biomedical text.
基于深度学习的中文关系抽取框架
DyNet: The Dynamic Neural Network Toolkit
Relation Classificaton based on information enhanced BERT
An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools)
Face 3D Reconstruction papers or codes
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
中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, ENT, DMN,
mul-BERT, the official score on the SemEval 2010 Task 8 dataset is up to 90.72 (Macro-F1).
About Muti-Label Text Classification Based on Neural Network.
Implementation of our papers Joint entity recognition and relation extraction as a multi-head selection problem (Expert Syst. Appl, 2018) and Adversarial training for multi-context joint entity and relation extraction (EMNLP, 2018).
谷歌自然语言处理模型BERT:论文解析与python代码
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications
Papers with code. Sorted by stars. Updated weekly.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
supervised relation extraction for PCNN (Zeng 2014) in pytorch 关系抽取
Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger
Code for using and evaluating SpanBERT.
all kinds of text classification models and more with deep learning
X-BERT: eXtreme Multi-label Text Classification with BERT
XLNet: Generalized Autoregressive Pretraining for Language Understanding
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.