Pinned Repositories
Autoencoder-TensorBoard-t-SNE
Plugging TensorBoard in an autoencoder on the MNIST dataset for demonstrating t-SNE embeddings visualization of unsupervised machine learning.
bhtsne
Barnes-Hut t-SNE
Business-Analytics
Course homepage for "Business Analytics" @Korea University
CAM
Class Activation Mapping
deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
Deep-learning-with-Python
Example projects I completed to understand Deep Learning techniques with Tensorflow.
embedding
한국어 임베딩 (Sentence Embeddings Using Korean Corpora)
ratsgo.github.io
NLP blog
t-SNE-tutorial
A tutorial on the t-SNE learning algorithm
tsnejs
Implementation of t-SNE visualization algorithm in Javascript.
DaehongKim1's Repositories
DaehongKim1/bhtsne
Barnes-Hut t-SNE
DaehongKim1/ratsgo.github.io
NLP blog
DaehongKim1/Business-Analytics
Course homepage for "Business Analytics" @Korea University
DaehongKim1/CAM
Class Activation Mapping
DaehongKim1/deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
DaehongKim1/Deep-learning-with-Python
Example projects I completed to understand Deep Learning techniques with Tensorflow.
DaehongKim1/embedding
한국어 임베딩 (Sentence Embeddings Using Korean Corpora)
DaehongKim1/GeneticAlgorithmsWithPython
source code from the book Genetic Algorithms with Python by Clinton Sheppard
DaehongKim1/hmmlearn
Hidden Markov Models in Python, with scikit-learn like API
DaehongKim1/hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
DaehongKim1/keras
Deep Learning for humans
DaehongKim1/keraspp
코딩셰프의 3분 딥러닝, 케라스맛
DaehongKim1/neowizard
DaehongKim1/nvdm
neural variational document model
DaehongKim1/Parametric-t-SNE
Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.
DaehongKim1/post--misread-tsne
How to Use t-SNE Effectively
DaehongKim1/pykalman
Kalman Filter, Smoother, and EM Algorithm for Python
DaehongKim1/pyod
A Python Toolkit for Scalable Outlier Detection (Anomaly Detection)
DaehongKim1/pytorch-vae
A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
DaehongKim1/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
DaehongKim1/reinforcement-learning-kr
[파이썬과 케라스로 배우는 강화학습] 예제
DaehongKim1/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
DaehongKim1/Tensorflow-Tutorial
Tensorflow tutorial from basic to hard
DaehongKim1/TensorFlow-Tutorials
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
DaehongKim1/time-series-clustering
DaehongKim1/tsne_animate
Automated animation for scikit-learn's t-sne algorithm
DaehongKim1/tsne_raw
Implementation of Symmetric SNE and t-SNE in numpy and python
DaehongKim1/VaDE
Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering
DaehongKim1/VAE
Variational AutoEncoder
DaehongKim1/vae-seq
Variational Auto-Encoders in a Sequential Setting.