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
3D CNN framework (devided into another repo to arrange my git)
Extracts the historic word occurrence of a search term in academic papers
Applied Deep Learning
The most cited deep learning papers
Recurrent Neural Network - A curated list of resources dedicated to RNN
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Image Caption metrics: Bleu、Cider、Meteor、Rouge、Spice
CBAM implementation on Keras
Learning Convolutional Neural Networks with Interactive Visualization.
DAGAN: Data Augmentation Generative Adversarial Networks
Image Completion with Deep Learning in TensorFlow
Keras code and weights files for popular deep learning models.
[ko] 패스트캠퍼스 강의 자료
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
This repository is created to study django code while participating in https://programmers.co.kr/
An empirical study on evaluation metrics of generative adversarial networks.
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
CNN architecture exploration using Genetic Algorithm
Getting Started with TensorFlow, published by Packt
Don't think about git, just do git
:octocat: Don't think about git, just do git