LynnHo/DCGAN-LSGAN-WGAN-GP-DRAGAN-Tensorflow-2

Reimplementation of GANs

Language: Python - Size: 15.7 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 421 - Forks: 104

nesl/nist_differential_privacy_synthetic_data_challenge

UCLANesl - NIST Differential Privacy Challenge (Match 3)

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salty-vanilla/tf-gans

Major GANs are implemented in this repository 🔥

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kzkadc/wasserstein-gan

Wasserstein GAN(-GP) implemented with PyTorch and Chainer

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jalola/improved-wgan-pytorch

Improved WGAN in Pytorch

Language: Python - Size: 2.18 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 424 - Forks: 70

minggli/gan

Conditional GAN, Wasserstein distance and Gradient Penalty in tensorflow

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demetoir/ALLGANS

머신러닝 프레임워크를 활용한 비교사(Unsupervised) 학습 모델 구현 프로젝트

Language: Python - Size: 6.65 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 9 - Forks: 2

daigo0927/WGAN_GP

Keras model and tensorflow optimization of 'improved Training of Wasserstein GANs'

Language: Python - Size: 3.11 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 16 - Forks: 5

mr4msm/wgan_gp_chainer

Wasserstein GAN with gradient penalty (WGAN-GP) implemented in Chainer v3.0.0.

Language: Python - Size: 147 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0

harsh306/GAN

Basic GANs with variety of loss functions as an exercise for my Thesis with Prof. Randy Paffenroth. KL, Reverse-KL, JS and Wasserstein GAN.

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VikramShenoy97/Digit-Generation-Using-WGANs

Generated digits (Similar to the ones in the MNIST dataset) using Wasserstein GANs.

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FabrizioMusacchio/wasserstein_gan

This repository contains some code for demonstrating the application of Wasserstein GANs (WGANs)

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Francis-Hsu/WGAN-TF2

Language: Python - Size: 16.4 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 1

amoldamare/Optimizing-GAN-using-Nestorov-Dual-averaging

Applying Dual averaging method to Saddle point problem in GAN

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