sarahwolf32 / conditional-DCGAN-for-MNIST
A conditional DCGAN, in Tensorflow, for generating hand-written digits from the MNIST dataset.
☆13Updated 6 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
- PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)☆69Updated 7 years ago
- Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Ne…☆506Updated 7 years ago
- Pytorch implementation of pix2pix for various datasets.☆123Updated 4 years ago
- ☆272Updated 6 years ago
- Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN,…☆229Updated 2 years ago
- Simple Tensorflow implementation of metrics for GAN evaluation (Inception score, Frechet-Inception distance, Kernel-Inception distance)☆219Updated 5 years ago
- Implementation of Conditional Generative Adversarial Networks in PyTorch☆107Updated 6 years ago
- [MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation☆630Updated 2 years ago
- Unofficial PyTorch implementation of the paper titled "Progressive growing of GANs for improved Quality, Stability, and Variation"☆538Updated last year
- Spectral Normalization for Keras Dense and Convolution Layers☆121Updated 5 years ago
- Various Notebooks for Lernapparat.de☆276Updated 4 years ago
- ☆497Updated last year
- Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (…☆150Updated 7 years ago
- Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST …☆523Updated last year
- Pytorch implementation of Wasserstein GANs with Gradient Penalty☆259Updated 4 years ago
- Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 dataset…☆209Updated last year
- Inception Score for GANs in Pytorch☆648Updated 4 years ago
- A clean and lucid implementation of cycleGAN using PyTorch☆122Updated 6 years ago
- MSG-GAN: Multi-Scale Gradients GAN (Architecture inspired from ProGAN but doesn't use layer-wise growing)☆151Updated 4 years ago
- An empirical study on evaluation metrics of generative adversarial networks.☆370Updated 5 years ago
- GANs with spectral normalization and projection discriminator☆1,094Updated 5 years ago
- This is an almost exact replica in PyTorch of the Tensorflow version of Self-Attention GAN released by Google Brain in August 2018.☆173Updated 5 months ago
- Two time-scale update rule for training GANs☆873Updated 3 years ago
- PyTorch Implementation of InfoGAN☆320Updated 2 years ago
- Keras implementation of CycleGAN using a tensorflow backend.☆193Updated 5 years ago
- Simple Tensorflow implementation of "Large Scale GAN Training for High Fidelity Natural Image Synthesis" (BigGAN)☆260Updated 6 years ago
- IS, FID score Pytorch and TF implementation, TF implementation is a wrapper of the official ones.☆122Updated 3 years ago
- PyTorch implementation of "Progressive growing of GANs (PGGAN)"☆820Updated 2 years ago
- PyTorch implementation of DCGAN☆49Updated 7 years ago
- A pytorch implementation of pix2pix + BEGAN (Boundary Equilibrium Generative Adversarial Networks)☆185Updated 5 years ago