GV

GeezerVison

The World Wide Web, restored to 800 pixels of glory.

Home|About|Gaming cabinet|Archives|How it works|Starter sites

On this site

  • Sign in
  • ActionsCI/CD and automation
  • CodespacesCloud development environments
  • All Features
  • Documentation
  • Training
  • Certifications
  • Build with Copilot
  • Customize Copilot
  • Integrations
  • Trending repos
  • GitHub Sponsors
  • Developer articles
  • Enterprises

This view

  • Original page
  • New address

GeezerVison is showing github.com — ChenKaiXuSan - Overview

@ChenKaiXuSan ChenKaiXuSan Follow
More
  • Overview
  • Repositories
  • Projects
  • Packages
  • Stars
@ChenKaiXuSan
ChenKaiXuSan
Follow
View ChenKaiXuSan's full-sized avatar
:dependabot:
think more

KX.Chen ChenKaiXuSan

:dependabot:
think more
Follow
I am a researcher at the University of Tsukuba, specializing in the application of AI, DL, and ML to video and image processing.
7 followers · 1 following
  • Tsukuba University
  • Japan
  • 13:52 (UTC +09:00)
  • chenkaixusan.github.io/blog/
  • https://orcid.org/0009-0003-8698-8899
  • in/chenkaixusan
  • https://scholar.google.com/citations?user=kpNboagAAAAJ

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: YOLOAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx2Achievement: YOLOAchievement: Arctic Code Vault Contributor

Highlights

  • Pro
More
  • Overview
  • Repositories
  • Projects
  • Packages
  • Stars
ChenKaiXuSan/README.md

About Me

from typing import Tuple, List, Dict
import datetime

class ChenKaiXu:
    pass

class Attributes(ChenKaiXu):
    @property
    def contact(self) -> Tuple[str, str, str]:

        email    = "[email protected]"
        google_scholar = "https://scholar.google.com/citations?user=kpNboagAAAAJ"
        blog     = "https://chenkaixusan.github.io/blog/"
        linkedin = "https://www.linkedin.com/in/chenkaixusan/"

        return email, google_scholar, blog, linkedin

    @property
    def life(self) -> Tuple[List[str], int]:
        langs = ['Chinese', 'English', 'Japanese']
        age   = datatime.datetime.now().year - 1996

        return langs, age

    @property
    def coding(self) -> Tuple[Dict[str, List[str]], List[str], List[str], Dict[str]]:
        langs = {
            'expert'      : ['python'],
            'intermediate': ['jave', 'c++'],
            'learning'    : ['c', 'c#', 'php']
        }
        specialities  = ['AI application engineering', 'web/app development']
        research topic = ['AI', 'health care', 'deep learning']
        ide           = ['vscode']
        pc            = {
            'MacOS': {
                'macmini m1': {
                    'processor': 'm1 | 8 cores',
                    'ram'      : '16gb',
                    'gpu'      : 'm1 | 8 cores'
                },
				'macbook pro': {
					'processor': 'm5 | 10 cores',
                    'ram'      : '24gb',
                    'gpu'      : 'm5 | 10 cores'
            },
            'Windows': {
                'custom': {
                    'OS'       : 'Windows 11',
                    'processor': 'AMD ryzen 7 5700X | 8 cores',
                    'ram'      : '64gb 2400',
                    'gpu'      : 'nvidia 3080'
                }
            }
        }

	return langs, specialities, research topic, ide, pc

Skills

My Skills

Pinned Loading

  1. blog blog Public

    个人博客

    SCSS

  2. deep-learning-project-template deep-learning-project-template Public template

    Forked from Lightning-AI/deep-learning-project-template

    Pytorch Lightning code guideline for conferences

    Python

  3. Walk_Video_PyTorch Walk_Video_PyTorch Public archive

    A classification task for a walk video task, based on PyTorch and PyTorch Lightning.

    Jupyter Notebook 1 1

  4. DEMT-LI DEMT-LI Public

    Forked from nadeemlab/SeqX2Y

    Sequence-to-sequence image and contour prediction library for lung dataset, with PyTorch.

    Python 1 1

  5. Skeleton_ASD_PyTorch Skeleton_ASD_PyTorch Public archive

    PhaseMix: A Periodic Motion Fusion Method for Adult Spinal Deformity Classification, based on PyTorch.

    Jupyter Notebook 1

  6. Temp_Feedback Temp_Feedback Public archive

    This project use the ML&DL method to feed back the predict temputre to the backend.

    Jupyter Notebook

Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.

Uh oh!

There was an error while loading. Please reload this page.

You are visitor 01402520 — GeezerVison does not store the pages you look up.
Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required.