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→ hwalsuklee
11 open source projects by hwalsuklee
[ Open user page on Github ]
1.
Tensorflow Fast Style Transfer
A simple, concise tensorflow implementation of fast style transfer
✭ 224
python
tensorflow
fast
offline
style-transfer
neural-style
2.
Tensorflow Mnist Cnn
MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.
✭ 182
python
tensorflow
cnn
mnist
data-augmentation
dropout
3.
Awesome Deep Text Detection Recognition
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
✭ 2,282
deep-learning
awesome-list
ocr
awesome-lists
text-recognition
text-detection
ocr-recognition
text-detection-recognition
ocr-detection
ocr-papers
ocr-paper
ocr-paper-list
4.
Tensorflow Mnist Cvae
Tensorflow implementation of conditional variational auto-encoder for MNIST
✭ 139
python
tensorflow
autoencoder
mnist
vae
variational-autoencoder
variational-inference
5.
Tensorflow Mnist Vae
Tensorflow implementation of variational auto-encoder for MNIST
✭ 422
python
tensorflow
autoencoder
mnist
vae
variational-autoencoder
6.
Tensorflow Generative Model Collections
Collection of generative models in Tensorflow
✭ 3,785
python
tensorflow
gan
generative-model
mnist
vae
variational-autoencoder
generative-adversarial-networks
wgan
wgan-gp
infogan
ebgan
cvae
lsgan
began
cgan
generative-models
dragan
acgan
fashion-mnist
improved-wgan
7.
Awesome Deep Vision Web Demo
A curated list of awesome deep vision web demo
✭ 298
deep-learning
awesome
awesome-list
computer-vision
demo
deep-neural-networks
list
vision
8.
Tensorflow Style Transfer
A simple, concise tensorflow implementation of style transfer (neural style)
✭ 278
python
tensorflow
style-transfer
online
neural-style
9.
numpy-neuralnet-exercise
Implementation of key concepts of neuralnetwork via numpy
✭ 49
python
neural-network
numpy
cnn
dropout
mnist
sgd
regularization
deeplearning
xavier-initializer
relu
cross-entropy-loss
numpy-neuralnet-exercise
10.
tensorflow-mnist-MLP-batch normalization-weight initializers
MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.
✭ 49
python
tensorflow
mnist
batch-normalization
mnist-classification
xavier
weight-initializers
he-initializer
xavier-initializer
he
11.
tensorflow-mnist-AAE
Tensorflow implementation of adversarial auto-encoder for MNIST
✭ 86
python
tensorflow
gan
mnist
autoencoder
vae
manifold
adversarial-networks
manifold-learning
adversarial-autoencoders
aae
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11
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