kakaobrain Goto Github PK

.github

autoclint

A specially designed light version of Fast AutoAugment

autowu

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

bassl

bc-hyperopt-example

brain cloud hyperopt example (mnist)

brain-agent

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

chexgpt

coyo-align

ALIGN trained on COYO-dataset

coyo-dataset

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

coyo-vit

ViT trained on COYO-Labeled-300M dataset

cxr-clip

expgan

fast-autoaugment

Official Implementation of 'Fast AutoAugment' in PyTorch.

flame

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

g2pm

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

ginr-ipc

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

helo-word

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

honeybee

Official implementation of project Honeybee (CVPR 2024)

hotr

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

hqtransformer

Locally Hierarchical Auto-Regressive Modeling for Image Generation (HQ-Transformer)

irm-empirical-study

An Empirical Study of Invariant Risk Minimization

jejueo

Jejueo Datasets for Machine Translation and Speech Synthesis

karlo

kogpt

KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)

kor-nlu-datasets

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

kortok

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

learning-loss-for-tta

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

leco

Official implementation of LECO (NeurIPS'22)

magvlt

The official implementation of MAGVLT: Masked Generative Vision-and-Language Transformer (CVPR'23)

mindall-e

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