KhrulkovV / geometry-scoreLinks
☆117Updated 6 years ago
Alternatives and similar repositories for geometry-score
Users that are interested in geometry-score are comparing it to the libraries listed below
Sorting:
- Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research☆95Updated 8 years ago
- ☆124Updated 7 years ago
- Implementation of Real-NVP in Tensorflow☆101Updated 7 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆92Updated 8 years ago
- Implementation of Coulomb GANs☆62Updated 4 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 7 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- ☆123Updated 5 years ago
- Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013☆94Updated 8 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆104Updated 9 years ago
- Scaled MMD GAN☆36Updated 6 years ago
- Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.☆111Updated 7 years ago
- pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv prepri…☆81Updated 8 years ago
- Implementation of Sequential Variational Autoencoder☆88Updated 8 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆244Updated 7 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Updated 5 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 8 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆43Updated 6 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated 2 years ago
- ☆32Updated 7 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 7 years ago
- A Tensorfflow implementation of Attend, Infer, Repeat☆80Updated 7 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 8 years ago
- PixelVAE with or without regularization☆68Updated 8 years ago
- Generative moment matching networks☆150Updated 9 years ago
- A discrete sequential VAE☆40Updated 5 years ago
- Tensorflow implementation of Hyperspherical Variational Auto-Encoders☆237Updated 7 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- ☆42Updated 6 years ago