timsainb / tensorflow2-generative-models
Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.
☆1,000Updated 3 years ago
Alternatives and similar repositories for tensorflow2-generative-models:
Users that are interested in tensorflow2-generative-models are comparing it to the libraries listed below
- Compare GAN code.☆1,819Updated 4 years ago
- A mix of GAN implementations including progressive growing☆1,624Updated 3 years ago
- Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks☆1,021Updated last year
- ☆1,007Updated 5 years ago
- Reimplementation of GANs☆422Updated 3 years ago
- Tooling for GANs in TensorFlow☆952Updated 3 months ago
- Research Framework for easy and efficient training of GANs based on Pytorch☆1,415Updated 2 years ago
- All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN☆654Updated 6 years ago
- Code for the paper "Improved Techniques for Training GANs"☆2,315Updated 6 years ago
- The Roadmap to Learn Generative Adversarial Networks (GANs)☆389Updated 4 years ago
- Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN,…☆497Updated 6 years ago
- Awesome Generative Adversarial Networks with tensorflow☆762Updated 2 years ago
- 🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.☆1,033Updated 4 years ago
- Generative Adversarial Networks (GANs) resources sorted by citations☆857Updated 5 years ago
- A wizard's guide to Adversarial Autoencoders☆436Updated 3 years ago
- A very simple generative adversarial network (GAN) in PyTorch☆1,529Updated 3 years ago
- Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/☆1,769Updated 3 years ago
- Collection of generative models in Tensorflow☆3,918Updated 2 years ago
- Keras community contributions☆1,579Updated 2 years ago
- Experiments with Deep Learning☆1,349Updated 2 years ago
- Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"☆920Updated 5 years ago
- Keras implementation of Deep Convolutional Generative Adversarial Networks☆978Updated 7 years ago
- generate MNIST using a Variational Autoencoder☆710Updated 6 years ago
- ☆3,222Updated 6 years ago
- Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"☆3,144Updated 9 months ago
- Simple tutorials for building neural networks with TensorFlow Eager mode.☆509Updated 5 years ago
- Keras Generative Adversarial Networks☆867Updated 6 years ago
- Code for reproducing experiments in "Improved Training of Wasserstein GANs"☆2,386Updated 6 years ago
- Simple Tensorflow implementation of "Self-Attention Generative Adversarial Networks" (SAGAN)☆552Updated 5 years ago
- GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks☆1,433Updated 2 years ago