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Hi there πŸ‘‹

  • πŸ”­ I’m AI/ML scientist in Papago, Naver
  • 🌱 I’m interested in a variety of topic in NLP, specially:
    • Machine Translation
    • Transfer Learning
    • Controllable Text Generation
    • Text data Augmentation
  • πŸ“« How to reach me in personal: [email protected]
  • ⚑ See my resume if you are interested in : https://www.linkedin.com/in/jinukcho/

jucho's GitHub stats

Jin Uk, Cho's Projects

ai-tech-interview icon ai-tech-interview

πŸ‘©β€πŸ’»πŸ‘¨β€πŸ’» AI μ—”μ§€λ‹ˆμ–΄ 기술 λ©΄μ ‘ μŠ€ν„°λ””

cocon_iclr2021 icon cocon_iclr2021

Pytorch implementation of CoCon: A Self-Supervised Approach for Controlled Text Generation

dalle2-pytorch icon dalle2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

datasets icon datasets

πŸ€— The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

denspi icon denspi

Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index (DenSPI)

farm icon farm

:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry.

interview_question_for_beginner icon interview_question_for_beginner

:boy: :girl: Technical-Interview guidelines written for those who started studying programming. I wish you all the best. :space_invader:

kg-bart icon kg-bart

KG-BART: Knowledge Graph-Augmented BART for GenerativeCommonsense Reasoning

ktextaug icon ktextaug

Data Augmentation Toolkit for Korean text.

lime icon lime

Lime: Explaining the predictions of any machine learning classifier

ma-gym icon ma-gym

A collection of multi agent environments based on OpenAI gym.

mrc_odqa_tutorial icon mrc_odqa_tutorial

MRC(Machine Reading Comprehension), 기계 독해 κ΄€λ ¨ μ„€λͺ… 자료 μž…λ‹ˆλ‹€. WIP

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