kyzhouhzau
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NLPGNN Public
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
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multipack_sampler Public
Forked from imoneoi/multipack_samplerMultipack distributed sampler for fast padding-free training of LLMs
Python MIT License UpdatedJul 8, 2023 -
BERT-NER Public
Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.
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jsplumb Public
Forked from jsplumb/jsplumbVisual connectivity for webapps
JavaScript Other UpdatedApr 4, 2022 -
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Clinical-NER Public
面向中文电子病历的命名实体识别
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pykg2vec Public
Forked from Sujit-O/pykg2vecPython library for knowledge graph embedding and representation learning.
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gpt-2 Public
Forked from openai/gpt-2Code for the paper "Language Models are Unsupervised Multitask Learners"
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cogdl Public
Forked from THUDM/CogDLCogDL: An Extensive Research Toolkit for Graphs
Python MIT License UpdatedDec 21, 2019 -
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TuckER Public
Forked from ibalazevic/TuckERTuckER: Tensor Factorization for Knowledge Graph Completion
Python MIT License UpdatedNov 4, 2019 -
nimfa Public
Forked from mims-harvard/nimfaNimfa: Nonnegative matrix factorization in Python
Python Other UpdatedOct 10, 2019 -
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bert Public
Forked from google-research/bertTensorFlow code and pre-trained models for BERT
Python Apache License 2.0 UpdatedJul 21, 2019 -
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tfmetrics Public
package "tfmetrics" will be used to eval f1_score, recall_score, precision_score in tensorflow>1.12
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Variational-autoencoder Public
Knowledge about Variational autoencoder!
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kyzhouhzau.github.io Public
Forked from qiubaiying/qiubaiying.github.ioKaiyinzhou
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Sequence_Labeling Public
BiLSTM+CRF
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drugbank_search Public
The drugbank database is stored locally with es to provide highly customizable searches！
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awesome-sentence-embedding Public
Forked from Separius/awesome-sentence-embeddingA curated list of pretrained sentence(and word) embedding models
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Bert-BiLSTM-CRF Public
This model base on bert-as-service. Model structure : bert-embedding bilstm crf.
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Crawler Public
Download related informations from drugbank using requests and selenium.webdriver.