Kim Junho (Junhojuno)

Junhojuno

Geek Repo

Company:EverEx

Location:Seoul

Twitter:@J_u_n_o_Kim

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Kim Junho's repositories

rle-human-pose-regression

Based on "Human Pose Regression with Residual Log-likelihood Estimation"

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git-practice

practice for git

pose-transformation-tf2

Affine / perspective transformation in Pose Estimation with Tensorflow 2

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centernet-tf2

'Object as Points' Tensorflow 2.x implementation

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classification-tf2

Tensorflow classification pipeline

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pytorch-tutorial

pytorch & pytorch lightning basic pipeline tutorial

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ssl-human-pose

Semi-Supervised Learning for Human Pose Estimation

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TIL-v2

Daily Learning records.

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Computer-Science

컴퓨터 사이언스 내용정리 :fire:

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d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

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ddpm

This repo is unofficial implementation of Denoising Diffusion Probabilistic Model

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DeepLearning-Beginning

Learning the basic Neural Network with Tensorflow

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Image-Matching

Image Matching과 관련된 논문정리 :fire:

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Junhojuno.github.io

:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.

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litepose

[CVPR'22] Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation

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mobileone-tf2

Tensorflow version of MobileOne: An Improved One millisecond Mobile Backbone

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Object-Detection-API-Tensorflow

Object Detection API Tensorflow

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project-template

this is repo for project baseline

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python-concurrent-tutorial

python 동시성 프로그래밍 연습 예제

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python-data-scrapper

Python Data Scrapping engine with FastAPI

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review

I think the main things to review is papers related with deep learning. Sometimes, it may be others.

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simple-baseline-tf2

Simple Baselines for Human Pose Estimation and Tracking with Tensorflow

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Tensorflow-2.0-tutorial

Play with Tensorflow 2.0 :joy:

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today-i-learn

happy coding:)

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vae-tf

tutorials of VAEs

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vision-transfomer-tf2

unofficial implementation of 'An Image is worth 16x16 words: Transformers for Image Recognition at Scale'

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yolov3-tf2

YoloV3 Implemented in Tensorflow 2.0

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