Junmyung Choi's repositories
seq2seq_singal_prediction_tensorflow-
Tensorflow implementation seq2seq singal prediction
char-rnn-tensorflow
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
AdversarialNetsPapers
The classical papers and codes about generative adversarial nets
awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
Convolutional-Neural-Network-for-Power-Consumption-Classification-using-Keras-and-Tensorflow
This simple code creates a deep neural network using keras running on top of tensorflow. The user has the option of selecting a 1D convolutional neural network or a standard deep neural network. The DNN is implemented to classify power consumption into weekends and weekdays. This is only implemented for a small number of training examples (hence the moderate performance...). A larger data set is needed in order to achieve adaquete performance. In order to run the code, tensorflow and keras must first be installed.
CryptocurrencyPrediction
Predict Cryptocurrency Price with Deep Learning
data-home-price-prediction
Python and tensor flow code to adapt home price predictions from Kaggle
DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
dl_tutorials_10weeks
Deep Learning Tutorials for 10 Weeks
FCN.tensorflow
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
google-interview-university
A complete daily plan for studying to become a Google software engineer.
Individual-household-electric-power-consumption-Data-Set-
Individual household electric-power consumption Data Set (LSTM) [tutorial]
pix2pix-tensorflow
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
Power-Consumption-Prediction
Based on the historical electricity consumption data of more than 1000 enterprises in a high-tech Zone, design algorithms to predict the daily total electricity consumption of the Zone in next month (next 30 days)
pydensecrf
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
PythonDataScienceHandbook
Jupyter Notebooks for the Python Data Science Handbook
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
simulated-unsupervised-tensorflow
In progress
tensorflow
Computation using data flow graphs for scalable machine learning
tensorflow-seq2seq-tutorials
Dynamic seq2seq in TensorFlow, step by step
tensorflow-style-transfer
A simple, concise Tensorflow implementation of style transfer (neural style)
TensorFlow-Tutorials
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
tensorflow_lecture_note_pnu
PNU 로봇인지시스템 tensorflow lecture note
tensorpack
Neural Network Toolbox on TensorFlow
VAE_tensorflow
Code for Variational AutoEncoder(VAE) using tensorflow