Jisu Hwang's repositories

3-min-pytorch_study

3분 딥러닝 파이토치맛 - 오픈소스 개인 스터디용

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ai-tech-interview

👩‍💻👨‍💻 AI 엔지니어 기술 면접 스터디

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homework_2

Keras 기반의 Frcnn & YOLOv3를 사용한 인물 탐지

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3-min-pytorch

<펭귄브로의 3분 딥러닝, 파이토치맛> 예제 코드

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albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

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awesome-computer-vision

A curated list of awesome computer vision resources

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awesome-deep-text-detection-recognition

A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

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homework_4

Seq2Seq를 사용한 Video Captioning

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image-text-localization-recognition

A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集 シーンテキストの位置認識と識別のための論文リソースの要約

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KoBERT

Korean BERT pre-trained cased (KoBERT)

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mmocr

OpenMMLab Text Detection, Recognition and Understanding Toolbox

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opencv

Open Source Computer Vision Library

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pan_pp.pytorch

Official implementations of PSENet, PAN and PAN++.

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PascalVOC2Yolo

Converting PascalVOC XML to YOLO txt format

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restyle-encoder

Official Implementation for "ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement" (ICCV 2021) https://arxiv.org/abs/2104.02699

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sahi

A lightweight vision library for performing large scale object detection/ instance segmentation.

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STR-Fewer-Labels

Scene Text Recognition (STR) methods trained with fewer real labels.

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tf_computer_vision

《실전! 텐서플로 2를 활용한 딥러닝 컴퓨터 비전》 예제 코드_개인스터디용

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Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

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vedastr

A scene text recognition toolbox based on PyTorch

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vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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YOLOX

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

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