Kangyeol Kim's repositories
CAN-pytorch
Creative Adversarial Network-pytorch
HMM_Speech_Recognizer
Speech Recognizer implementation using hidden markov model
colorectal-cancer-segmentation
Baseline Codes for Colorectal Cancer Segmentation
previous.github.io
Blog and Curriculum Vita
Universal_approximation
Universal Approximation Simulation
awsome-domain-adaptation
A collection of AWESOME things about domian adaptation
brain
[UNMAINTAINED] Simple feed-forward neural network in JavaScript
coding-interview-university
A complete computer science study plan to become a software engineer.
computer-science-topic
Studying computer scientific topics
Creative-Adversarial-Networks
(WIP) Implementation of Creative Adversarial Networks https://arxiv.org/pdf/1706.07068.pdf
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
GradCAM
A PyTorch implementation of Grad-CAM based on ICCV 2017 paper "Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization"
One-Pixel-Attack_Pytorch
one pixel attack for fooling deep neural networks pytorch implementation
Presentation_For_DaeHa
A PDF File used for Shinchon Hackathon.
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
probability-distribution-with-python
Summarize characteristics of probability distribution and python implementation
python-packages-wrapup
Repository for memorizing common usage of python packages
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
regression-simulation
Implementation of Mean regression and Median regression comparing 2 methods : Frequentist way versus Bayesian way
Research-wiki
Notes & Comments
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习