Repositories
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pororo
PORORO: Platform Of neuRal mOdels for natuRal language prOcessing
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nlp-paper-reading
Paper reading notes from Kakao Brain's NLP team.
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word2word
Easy-to-use word-to-word translations for 3,564 language pairs.
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learning-loss-for-tta
"Learning Loss for Test-Time Augmentation (NeurIPS 2020)"
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g2pM
A Neural Grapheme-to-Phoneme Conversion Package for Mandarin Chinese Based on a New Open Benchmark Dataset
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kortok
The code and models for "An Empirical Study of Tokenization Strategies for Various Korean NLP Tasks" (AACL-IJCNLP 2020)
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torchgpipe
A GPipe implementation in PyTorch
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irm-empirical-study
An Empirical Study of Invariant Risk Minimization
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autoclint
A specially designed light version of Fast AutoAugment
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KorNLUDatasets
KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding
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fast-autoaugment
Official Implementation of 'Fast AutoAugment' in PyTorch.
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torchlars
A LARS implementation in PyTorch
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jejueo
Jejueo Datasets for Machine Translation and Speech Synthesis
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helo_word
Team Kakao&Brain's Grammatical Error Correction System for the ACL 2019 BEA Shared Task
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bc-hyperopt-example
brain cloud hyperopt example (mnist)