sarahwolf32 / conditional-DCGAN-for-MNISTLinks
A conditional DCGAN, in Tensorflow, for generating hand-written digits from the MNIST dataset.
☆13Updated 7 years ago
Alternatives and similar repositories for conditional-DCGAN-for-MNIST
Users that are interested in conditional-DCGAN-for-MNIST are comparing it to the libraries listed below
Sorting:
- Inception Score for GANs in Pytorch☆658Updated 5 years ago
- Unofficial PyTorch implementation of the paper titled "Progressive growing of GANs for improved Quality, Stability, and Variation"☆541Updated last year
- Two time-scale update rule for training GANs☆890Updated 4 years ago
- Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Ne…☆524Updated 8 years ago
- GANs with spectral normalization and projection discriminator☆1,102Updated 5 years ago
- PyTorch implementation of "Progressive growing of GANs (PGGAN)"☆824Updated 2 years ago
- Simple Tensorflow implementation of metrics for GAN evaluation (Inception score, Frechet-Inception distance, Kernel-Inception distance)☆219Updated 6 years ago
- Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch☆1,110Updated 4 years ago
- Reimplementation of CycleGAN☆388Updated 3 years ago
- AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation☆684Updated 2 years ago
- ☆496Updated 2 years ago
- PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)☆71Updated 8 years ago
- Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 dataset…☆211Updated last year
- Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-☆679Updated 7 years ago
- ☆1,011Updated 6 years ago
- An empirical study on evaluation metrics of generative adversarial networks.☆373Updated 6 years ago
- Pytorch implementation of pix2pix for various datasets.☆126Updated 4 years ago
- PyTorch implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".☆444Updated 6 years ago
- [MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation☆628Updated 3 years ago
- Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"☆731Updated 5 years ago
- Simple Tensorflow implementation of "Self-Attention Generative Adversarial Networks" (SAGAN)☆553Updated 6 years ago
- Learning diverse image-to-image translation from unpaired data☆858Updated 5 years ago
- A clean and lucid implementation of cycleGAN using PyTorch☆125Updated 6 years ago
- Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST …☆530Updated last year
- A PyTorch implementation for StyleGAN with full features.☆381Updated 3 years ago
- Improved WGAN in Pytorch☆440Updated 2 years ago
- Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN,…☆233Updated 3 years ago
- PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)☆432Updated 8 years ago
- Implementation of Neural Style Transfer in Pytorch☆428Updated 4 years ago
- Reimplementation of GANs☆423Updated 3 years ago