Name: Hyeon Kang
Type: User
Company: The Interdisciplinary Studies of Artificial Intelligence, DGIST
Bio: I am studying Model Generalization at The Interdisciplinary Studies of Artificial Intelligence, DGIST.
# Computer Vision
Location: Republic of Korea
Hyeon Kang's Projects
A toolbox to iNNvestigate neural networks' predictions!
:globe_with_meridians: Jekyll is a blog-aware, static site generator in Ruby
전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.
Deep Learning for humans
Attention mechanism Implementation for Keras.
Keras implementations of Generative Adversarial Networks.
An implementation of Grad-CAM with keras
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
Keras model trained using semi-hard triplet Loss (tensorflow function) on MNIST
implementation of bam and cbam using keras
kinfitr: PET Kinetic Modelling Using R
Module for restoring Korean text working with KomornaPy
Lime: Explaining the predictions of any machine learning classifier
for the paper of 3D Inception CNN For Automatic Lung Nodule Detection
Code for tutorial at MICCAI 2019
Models built with TensorFlow
mRMR (minimum-Redundancy-Maximum-Relevance) for feature selection.
Naringu is jekyll dark theme by ariestiyansyah
Super Resolution for images using deep learning.
100 numpy exercises (100% complete)
Label images and video for Computer Vision applications
Penalized Sparse Learning Solver - Unleash the Power of Nonconvex Penalty
Pretty Tensor: Fluent Networks in TensorFlow
Python GUI Programming Cookbook, Second Edition, published by Packt
Basic LRP implementation in PyTorch
Rainbow is all you need!