taesungp / real-nvp
Implementation of Real-NVP in Tensorflow
☆102Updated 6 years ago
Alternatives and similar repositories for real-nvp:
Users that are interested in real-nvp are comparing it to the libraries listed below
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆101Updated 9 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 7 years ago
- ☆122Updated 5 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- ☆123Updated 7 years ago
- ☆63Updated 8 years ago
- Optimizing control variates for black-box gradient estimation☆162Updated 5 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆126Updated 6 years ago
- Experiments for the Neural Autoregressive Flows paper☆123Updated 3 years ago
- Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013☆93Updated 7 years ago
- Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)☆76Updated 8 years ago
- Implementation of Sequential Variational Autoencoder☆88Updated 7 years ago
- ☆84Updated 10 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 6 years ago
- Annealed Importance Sampling (AIS) for generative models.☆16Updated 6 years ago
- Generative moment matching networks☆149Updated 8 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆116Updated 8 years ago
- PixelVAE with or without regularization☆66Updated 7 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
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- ☆42Updated 5 years ago
- Replicating "Understanding disentangling in β-VAE"☆197Updated 6 years ago
- Pytorch Implementation of OpenAI's GLOW☆93Updated 4 years ago
- Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761☆37Updated 7 years ago
- VQ-VAE implementation / pytorch☆180Updated 7 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- A Tensorfflow implementation of Attend, Infer, Repeat☆81Updated 6 years ago
- Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…☆62Updated 8 years ago