CW-Huang / naf_examples
examples of Neural Autoregressive Flows
☆13Updated 6 years ago
Alternatives and similar repositories for naf_examples:
Users that are interested in naf_examples are comparing it to the libraries listed below
- ☆37Updated 5 years ago
- PyTorch implementation of AVF☆45Updated 4 years ago
- Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)☆76Updated 8 years ago
- Demos, pretrained models, and (WIP) code supporting Representation Mixing☆51Updated 6 years ago
- VAE + Quantile Networks for MNIST☆12Updated 6 years ago
- Experiments for the Neural Autoregressive Flows paper☆123Updated 3 years ago
- Code for reproducing results in "Generative Model with Dynamic Linear Flow"☆70Updated 5 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- Code for "MIM: Mutual Information Machine" paper.☆16Updated 2 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 6 years ago
- Stochastic Deep Networks☆17Updated 5 years ago
- Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"☆26Updated 5 years ago
- ☆24Updated 4 years ago
- ☆17Updated 6 years ago
- Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)☆23Updated 7 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- Run Pytorch graphs inside Theano graph (and pytorch wrapper for AIS for generative models).☆18Updated 7 years ago
- a replicate of https://arxiv.org/pdf/1711.00937.pdf☆16Updated 7 years ago
- ☆29Updated 3 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 5 years ago
- Reweighted Expectation Maximization☆29Updated 5 years ago
- Implementation of the LOSSGRAD optimization algorithm☆15Updated 5 years ago
- ☆42Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Professor Forcing, NIPS'16☆46Updated 7 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 7 years ago
- ☆17Updated 7 years ago
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆27Updated 6 years ago
- Deep variational inference in tensorflow☆56Updated 6 years ago