GitPlanet

Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

Created with love in Canada, visit hostnodejs.com today

Feel like to post an Ad? Learn Details
All Projects → caogang → Wgan Gp

caogang / Wgan Gp

Licence: mit
A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

Programming Languages

python
139335 projects - #7 most used programming language

Labels

pytorchwgan-gp

Projects that are alternatives of or similar to Wgan Gp

WGAN GP
Keras model and tensorflow optimization of 'improved Training of Wasserstein GANs'
Stars: ✭ 16 (-98.62%)
Mutual labels:  wgan-gp
generative deep learning
Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)
Stars: ✭ 24 (-97.93%)
Mutual labels:  wgan-gp
Chainer Gan Lib
Chainer implementation of recent GAN variants
Stars: ✭ 386 (-66.72%)
Mutual labels:  wgan-gp
progressive growing of GANs
Pure tensorflow implementation of progressive growing of GANs
Stars: ✭ 31 (-97.33%)
Mutual labels:  wgan-gp
tfworldhackathon
GitHub repo for my Tensorflow World hackathon submission
Stars: ✭ 17 (-98.53%)
Mutual labels:  wgan-gp
SRGAN-PyTorch
A PyTorch implementation of SRGAN specific for Anime Super Resolution based on "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network". And another PyTorch WGAN-gp implementation of SRGAN referring to "Improved Training of Wasserstein GANs".
Stars: ✭ 65 (-94.4%)
Mutual labels:  wgan-gp
Fun-with-MNIST
Playing with MNIST. Machine Learning. Generative Models.
Stars: ✭ 23 (-98.02%)
Mutual labels:  wgan-gp
Awesome Gans
Awesome Generative Adversarial Networks with tensorflow
Stars: ✭ 585 (-49.57%)
Mutual labels:  wgan-gp
Improved-Wasserstein-GAN-application-on-MRI-images
Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images
Stars: ✭ 23 (-98.02%)
Mutual labels:  wgan-gp
Tensorflow Generative Model Collections
Collection of generative models in Tensorflow
Stars: ✭ 3,785 (+226.29%)
Mutual labels:  wgan-gp
Generative-Model
Repository for implementation of generative models with Tensorflow 1.x
Stars: ✭ 66 (-94.31%)
Mutual labels:  wgan-gp
WGAN-GP-TensorFlow
TensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.
Stars: ✭ 42 (-96.38%)
Mutual labels:  wgan-gp
Improved Wgan Pytorch
Improved WGAN in Pytorch
Stars: ✭ 333 (-71.29%)
Mutual labels:  wgan-gp
speech-enhancement-WGAN
speech enhancement GAN on waveform/log-power-spectrum data using Improved WGAN
Stars: ✭ 35 (-96.98%)
Mutual labels:  wgan-gp
Mimicry
[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
Stars: ✭ 458 (-60.52%)
Mutual labels:  wgan-gp
Pytorch-Basic-GANs
Simple Pytorch implementations of most used Generative Adversarial Network (GAN) varieties.
Stars: ✭ 101 (-91.29%)
Mutual labels:  wgan-gp
wgan-gp
Pytorch implementation of Wasserstein GANs with Gradient Penalty
Stars: ✭ 161 (-86.12%)
Mutual labels:  wgan-gp
Deeplearningmugenknock
でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet
Stars: ✭ 684 (-41.03%)
Mutual labels:  wgan-gp
Tf.gans Comparison
Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking
Stars: ✭ 477 (-58.88%)
Mutual labels:  wgan-gp
Dcgan Lsgan Wgan Gp Dragan Tensorflow 2
DCGAN LSGAN WGAN-GP DRAGAN Tensorflow 2
Stars: ✭ 373 (-67.84%)
Mutual labels:  wgan-gp
View All Similar Projects ➔

WGAN-GP

An pytorch implementation of Paper "Improved Training of Wasserstein GANs".

Prerequisites

Python, NumPy, SciPy, Matplotlib A recent NVIDIA GPU

A latest master version of Pytorch

Progress

  • [x] gan_toy.py : Toy datasets (8 Gaussians, 25 Gaussians, Swiss Roll).(Finished in 2017.5.8)

  • [x] gan_language.py : Character-level language model (Discriminator is using nn.Conv1d. Generator is using nn.Conv1d. Finished in 2017.6.23. Finished in 2017.6.27.)

  • [x] gan_mnist.py : MNIST (Running Results while Finished in 2017.6.26. Discriminator is using nn.Conv1d. Generator is using nn.Conv1d.)

  • [ ] gan_64x64.py: 64x64 architectures(Looking forward to your pull request)

  • [x] gan_cifar.py: CIFAR-10(Great thanks to robotcator)

Results

  • Toy Dataset

    Some Sample Result, you can refer to the results/toy/ folder for details.

    • 8gaussians 154500 iteration

    frame1612

    • 25gaussians 48500 iteration

      frame485

    • swissroll 69400 iteration

    frame694

  • Mnist Dataset

    Some Sample Result, you can refer to the results/mnist/ folder for details.

    mnist_samples_91899

    mnist_samples_91899

    mnist_samples_91899

    mnist_samples_199999

  • Billion Word Language Generation (Using CNN, character-level)

    Some Sample Result after 8699 epochs which is detailed in sample

    I haven't run enough epochs due to that this is very time-comsuming.

    He moved the mat all out clame t

    A fosts of shores forreuid he pe

    It whith Crouchy digcloued defor

    Pamreutol the rered in Car inson

    Nor op to the lecs ficomens o fe

    In is a " nored by of the ot can

    The onteon I dees this pirder ,

    It is Brobes aoracy of " medurn

    Rame he reaariod to thim atreast

    The stinl who herth of the not t

    The witl is f ont UAy Y nalence

    It a over , tose sho Leloch Cumm

  • Cifar10 Dataset

    Some Sample Result, you can refer to the results/cifar10/ folder for details.

    mnist_samples_91899

Acknowledge

Based on the implementation igul222/improved_wgan_training and martinarjovsky/WassersteinGAN

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].