adler-j / minimal_wganLinks
A minimal implementation of Wasserstein GAN
☆44Updated 8 years ago
Alternatives and similar repositories for minimal_wgan
Users that are interested in minimal_wgan are comparing it to the libraries listed below
Sorting:
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 6 years ago
- Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)☆125Updated 7 years ago
- AdaGAN: greedy iterative procedure to train mixtures of GANs☆78Updated 7 years ago
- Wasserstein DCGAN in Tensorflow/Keras☆93Updated 8 years ago
- Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow☆202Updated 6 years ago
- repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs☆103Updated 8 years ago
- Gumbel-Softmax Variational Autoencoder with Keras☆134Updated 8 years ago
- Code for the paper "Adversarial Generator-Encoder Networks"☆287Updated 7 years ago
- Unrolled Generative Adversarial Networks☆293Updated 7 years ago
- Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution☆51Updated 8 years ago
- ☆78Updated 10 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆208Updated 7 years ago
- ☆138Updated 8 years ago
- Forward Thinking NIPS 2017☆107Updated 7 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago
- Decoupled Neural Interfaces using Synthetic Gradients for PyTorch☆239Updated 6 years ago
- Neural network training using iterated projections.☆90Updated 8 years ago
- Implementation of Coulomb GANs☆62Updated 4 years ago
- An implementation of the Neural Turing Machine as a keras recurrent layer.☆139Updated 8 years ago
- Generative Adversarial Networks with Keras☆156Updated 5 years ago
- PixelVAE with or without regularization☆69Updated 8 years ago
- Implementation of Adversarial Autoencoder with Theano☆40Updated 9 years ago
- Fast Scattering Transform with CuPy/PyTorch☆295Updated 5 years ago
- Adversarially Learned Inference☆311Updated 7 years ago
- Implementation of Real-NVP in Tensorflow☆101Updated 7 years ago
- The first public PyTorch implementation of Attentive Recurrent Comparators☆146Updated 8 years ago
- supercell☆192Updated 8 years ago
- TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"☆84Updated 8 years ago
- Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"☆181Updated 7 years ago
- TensorFlow input pipelines for multiple datasets for easy data fetching☆54Updated 8 years ago