Kakao Brain (kakaobrain)

Kakao Brain

kakaobrain

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Kakao Brain Corp.

Location:Pankyo, Seongnam, Kyungki, Republic of Korea

Home Page:https://kakaobrain.com/

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Kakao Brain's repositories

fast-autoaugment

Official Implementation of 'Fast AutoAugment' in PyTorch.

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pororo

PORORO: Platform Of neuRal mOdels for natuRal language prOcessing

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kogpt

KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)

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torchgpipe

A GPipe implementation in PyTorch

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minDALL-E

PyTorch implementation of a 1.3B text-to-image generation model trained on 14 million image-text pairs

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rq-vae-transformer

The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22)

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word2word

Easy-to-use word-to-word translations for 3,564 language pairs.

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torchlars

A LARS implementation in PyTorch

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g2pM

A Neural Grapheme-to-Phoneme Conversion Package for Mandarin Chinese Based on a New Open Benchmark Dataset

Language:PythonLicense:Apache-2.0Stargazers:220Issues:13Issues:16

KorNLUDatasets

KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding

autoclint

A specially designed light version of Fast AutoAugment

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HOTR

Official repository for HOTR: End-to-End Human-Object Interaction Detection with Transformers (CVPR'21, Oral Presentation)

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scrl

PyTorch Implementation of Spatially Consistent Representation Learning(SCRL)

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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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sparse-detr

PyTorch Implementation of Sparse DETR

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helo_word

Team Kakao&Brain's Grammatical Error Correction System for the ACL 2019 BEA Shared Task

Language:PythonLicense:Apache-2.0Stargazers:79Issues:9Issues:15

jejueo

Jejueo Datasets for Machine Translation and Speech Synthesis

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autowu

Official repository for Automated Learning Rate Scheduler for Large-Batch Training (8th ICML Workshop on AutoML)

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irm-empirical-study

An Empirical Study of Invariant Risk Minimization

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miro

Official PyTorch implementation of MIRO

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learning-loss-for-tta

"Learning Loss for Test-Time Augmentation (NeurIPS 2020)"

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bc-hyperopt-example

brain cloud hyperopt example (mnist)

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