CW-Huang / naf_examplesLinks
examples of Neural Autoregressive Flows
☆13Updated 7 years ago
Alternatives and similar repositories for naf_examples
Users that are interested in naf_examples are comparing it to the libraries listed below
Sorting:
- Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)☆74Updated 8 years ago
- PyTorch implementation of AVF☆45Updated 5 years ago
- ☆80Updated 7 years ago
- ☆37Updated 6 years ago
- A PyTorch implementation of fast-wavenet☆93Updated 7 years ago
- ☆24Updated 5 years ago
- Code for reproducing results in "Generative Model with Dynamic Linear Flow"☆70Updated 6 years ago
- WaveNet implementation with chainer☆56Updated 8 years ago
- Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"☆26Updated 6 years ago
- Demos, pretrained models, and (WIP) code supporting Representation Mixing☆51Updated 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
- Normalizing Flows in Jax☆107Updated 5 years ago
- Experiments for the Neural Autoregressive Flows paper☆125Updated 4 years ago
- custom cuda kernel for {2, 3}d relative attention with pytorch wrapper☆43Updated 5 years ago
- ☆17Updated 7 years ago
- Code for "MIM: Mutual Information Machine" paper.☆15Updated 3 years ago
- Implementation of soft dynamic time warping in pytorch☆99Updated 4 years ago
- Deep variational inference in tensorflow☆57Updated 7 years ago
- Implementation of Coulomb GANs☆62Updated 4 years ago
- ☆42Updated 6 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 8 years ago
- Implementation of REBAR in PyTorch☆17Updated 7 years ago
- ☆28Updated 6 years ago
- Implementation of Sequential Variational Autoencoder☆88Updated 8 years ago
- Run Pytorch graphs inside Theano graph (and pytorch wrapper for AIS for generative models).☆18Updated 8 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 6 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆194Updated 2 years ago