Kwang Myung Yu's Projects
A best practice for deep learning project template architecture.
List of papers, code and experiments using deep learning for time series forecasting
PyTorch implementations of deep reinforcement learning algorithms and environments
A curated list of Deep Learning
Code for the 2012 IEEE Transactions on Power Delivery paper on "Statistical Machine Learning and Dissolved Gas Analysis: A Review"
A neural network model implemented in MATLAB to predict various faults in transformers using Dissolved Gas Analysis.
Dissolved Gas Analysis
Edited code examples from the book 'Deep Learning for Computer Vision - Starter Bundle' by Adrian Rosebrock
Feature Extraction, Validation, Verification and PCA on CGM time series data signifying glucose levels of a patient on meal intakes.
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
jekyll source folder에 대한 Github Repository
핸즈온 머신러닝 2/E의 주피터 노트북
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
Kaggle competition study repository
🏅 Collection of Kaggle Solutions and Ideas 🏅
Kaggle Struggle
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
Log Anomaly Detection - Machine learning to detect abnormal events logs