kakaobrain

Official Implementation of 'Fast AutoAugment' in PyTorch.

PORORO: Platform Of neuRal mOdels for natuRal language prOcessing

An awesome PyTorch NeRF library

COYO-700M: Large-scale Image-Text Pair Dataset

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

KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)

A GPipe implementation in PyTorch

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

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

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

A LARS implementation in PyTorch

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

A performance library for machine learning applications.

PyTorch Implementation of Sparse DETR

A specially designed light version of Fast AutoAugment

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

The code and models for "An Empirical Study of Tokenization Strategies for Various Korean NLP Tasks" (AACL-IJCNLP 2020)

Official implementation of the paper "FLAME: Free-form Language-based Motion Synthesis & Editing"

PyTorch Implementation of Spatially Consistent Representation Learning(SCRL)

Brain Agent for Large-Scale and Multi-Task Agent Learning

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

Jejueo Datasets for Machine Translation and Speech Synthesis

The official implementation of Generalizable Implicit Neural Representations with Instance Pattern Composers(CVPR’23 highlight).