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Jungseob Lee

πŸ“š interested in π˜•π˜’π˜΅π˜Άπ˜³π˜’π˜­ π˜“π˜’π˜―π˜¨π˜Άπ˜’π˜¨π˜¦ π˜—π˜³π˜°π˜€π˜¦π˜΄π˜΄π˜ͺ𝘯𝘨
πŸ’‘ If have any questions or interests to me, feel free to email me.
[email protected]


Jungseob Lee's Projects

abnormal-detection icon abnormal-detection

Abnormal behavior detection for corporate internal security using customized YOLO-v3.

colossalai icon colossalai

Making large AI models cheaper, faster and more accessible

eda_used-item icon eda_used-item

μ€‘κ³ λ‚˜λΌ νœ΄λŒ€ν° 크둀링 λ°μ΄ν„°λ‘œν•˜λŠ” κ±°λž˜κ°€κ²© EDA

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

focus icon focus

Source codes and dataset of Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge

kfreb icon kfreb

KFREB: Korean Fictional Retrieval-based Evaluation Benchmark for Generative Large Language Models (HCLT 2023)

levoc_bpe icon levoc_bpe

Length-aware Byte Pair Encoding for Mitigating Over-segmentation in Korean Machine Translation (ACL 2024 findings)

ml_module_summary icon ml_module_summary

파이썬 λ¨Έμ‹ λŸ¬λ‹ λͺ¨λ“ˆλ“€μ„ κ³΅λΆ€ν•˜κ³  정보λ₯Ό κ³΅μœ ν•˜κΈ° μœ„ν•œ 리포지터리

nlp-library icon nlp-library

curated collection of papers for the nlp practitioner πŸ“–πŸ‘©β€πŸ”¬

scene-graph-benchmark.pytorch icon scene-graph-benchmark.pytorch

A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper β€œUnbiased Scene Graph Generation from Biased Training CVPR 2020”

seoul-corona-confirmed-number-crawling-by-region icon seoul-corona-confirmed-number-crawling-by-region

μ„œμšΈ 및 κ²½κΈ° 지역 κ΅¬λ³„λ‘œ ν™•μ§„μž 수λ₯Ό ν¬λ‘€λ§ν•˜μ—¬ excel 파일둜 λ³€ν™˜ν•΄μ£ΌλŠ” python 파일

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