shiny0510,Seunghwan Oh,github

I ❤️ to study about Math and Computer Science, Deveploper
🔭 I’m currently working on Korea Univ AI Grad
💪 My major is ..

1. Artificial Intelligence
- Visual based Anomaly detection
- Super Resolution learning GAN
- Bayesian learning
2. Computer engineering Language & skils
- Python, Matlab, Linux, C, C++, R, Java, Javascript, Visual Basic, Lua, Kotlin
3. Graphic Skill
- OpenCV (Python, C++), WebGL (javascript), OpenGL (C++), Three js (javascript)
4. Web
- VUE js (Front END), Jango (framework), React, Express (framework), Spring Boot (framework), Spring
5. Server management
- Apache Tomcat, Apache, AWS, Naver Server, Hyper-V
6. SQL
- MariaDB, Oracle, MySQL, PostgreSQL
7. Embedded system
- ArduIno, Raspberry Pi
💪 Career
- 2019.04.15 ~ Current: LGO (Personal Business Owner)
- 1. 01 ~ 2018. 06 : DM Company development team leader (Web, App, Server, foreign trade)
- 1. 09 ~ 2018. 12 : Digital Convergence-based Application SW Engineering (Korea Information Technology Research Institute)
🌱 Aword
- 2017.09 Chungbuk Startup Leading University (Chungbuk Creative Economy Innovation Center)
- 2018.10 Chungbuk Region, University Startup Idea Contest (Encouragement Prize), (Small Business Technology Innovation Association Chungbuk Branch)
- 2018.10 Capstone Design Contest (Grand Prize)
- 2018.12 Startup Idea Contest (Best Excellence in Acting Award)
🌱 Patent
- 2018.01.08 (No. 10-2018-0002314) Musical instrument training application
- 2018.10.08 (No. 10-2018-0119515) Smart Flowerpot System

Seunghwan Oh's Projects

gcn

Implementation of Graph Convolutional Networks in TensorFlow

graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

hat

CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer Arxiv - HAT: Hybrid Attention Transformer for Image Restoration

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

kotlin-android

The 친절한 코틀린 앱 프로그래밍 책의 소스 코드

latex-ocr

pix2tex: Using a ViT to convert images of equations into LaTeX code.

liquidctl_cooler_colorconvert

Cross-platform CLI and Python drivers for AIO liquid coolers and other devices

nerf2mesh

[ICCV2023] Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement

pycaret

An open-source, low-code machine learning library in Python

python-mastery

Advanced Python Mastery (course by @dabeaz)

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM