Dong-Hyun Lee's repositories
Awesome-Korean-NLP
A curated list of resources for NLP (Natural Language Processing) for Korean
awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
chatbot-rnn
A toy chatbot powered by deep learning and trained on data from Reddit
cnn-benchmarks
Benchmarks for popular CNN models
DeepBio
DeepBio
DNI-tensorflow
DNI(Decoupled Neural Interfaces using Synthetic Gradients) implementation with Tensorflow
fast-weights
Implementation of the paper [Using Fast Weights to Attend to the Recent Past](https://arxiv.org/abs/1610.06258)
fastText
Library for fast text representation and classification.
ganhacks
starter from "How to Train a GAN?" at NIPS2016
gumbel
Gumbel-Softmax Variational Autoencoder with Keras
gumbel-softmax
categorical variational autoencoder using the Gumbel-Softmax estimator
iGAN
A deep learning software that easily generates images with a few brushstrokes (from UC Berkeley and Adobe CTL)
im2latex-tensorflow
Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)
kapre
kapre: Keras Audio Preprocessors
keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
MLAlgorithms
Minimal and clean examples of machine learning algorithms
models
Models built with TensorFlow
neural-style
Neural style in TensorFlow! :art:
notebooks
Directory of Jupyter notebooks exploring various topics
RecurrentHighwayNetworks
Recurrent Highway Networks - Author implementation for Tensorflow and Torch
recurrentshop
Framework for building complex recurrent neural networks with Keras
saturn
Saturn: Web IDE for Machine Learning
seq2seq-pytorch-example
A toy example of sequence to sequence (seq2seq) model with pytorch.
show-attend-and-tell-tensorflow
tensorflow implementation of show attend and tell
tensorflow-value-iteration-networks
TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper
tiny-dnn
header only, dependency-free deep learning framework in C++11
vimrc
The ultimate Vim configuration: vimrc