lian6605

lian6605

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lian6605's repositories

AwesomeKorean_Data

한국어 데이터 세트 링크

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BertSum

Code for paper Fine-tune BERT for Extractive Summarization

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brave-tech-interview

🙋 핵심을 질문하다. 그리고 용감하게 대답하다. 국내 IT기업부터 실리콘밸리까지 "현직자가 해설해주는 기술면접"

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causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

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ClovaCall

ClovaCall dataset and Pytorch LAS baseline code (Interspeech 2020)

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clx

A collection of RAPIDS examples for security analysts, data scientists, and engineers to quickly get started applying RAPIDS and GPU acceleration to real-world cybersecurity use cases.

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Complete-Blood-Cell-Count-Dataset

The complete blood count (CBC) dataset contains a total of 360 blood smear images of red blood cells (RBCs), white blood cells (WBCs), and Platelets with annotations.

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django_test

django_test_for

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geulstagram

📷 글스타그램 데이터셋 만들기

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hangul-syllable-recognition

hangul syllable recognition 한글 음절 인식기

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KoBART

Korean BART

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KoBART-summarization

Summarization module based on KoBART

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KoELECTRA

Pretrained ELECTRA Model for Korean

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KorQuAD-Question-Generation

question generation model with KorQuAD dataset

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korquad.github.io

Korean wiki QA dataset for MRC

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KorQuADv2

KoELECTRA + KorQuADv2.1

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ksponspeech

Pre-processing KsponSpeech corpus (Korean Speech dataset) provided by AI Hub.

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LAMA

LAnguage Model Analysis

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nlp_classification

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

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pdftotree

:evergreen_tree: A tool for converting PDF into hOCR with text, tables, and figures being recognized and preserved.

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python-for-data-analysis-rev

《데이터 분석을 위한 파이썬 철저 입문(증보판)》 예제 코드

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RunCat_for_windows

A cute running cat animation on your windows taskbar.

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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tapas

End-to-end neural table-text understanding models.

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tensorflow-ml-nlp-tf2

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT2까지) 실습자료

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TextAttack

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP

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transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

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website

Kubernetes website and documentation repo:

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