jrbtaylor / conditional-pixelcnnLinks
A PyTorch implementation of Conditional PixelCNNs
☆27Updated 7 years ago
Alternatives and similar repositories for conditional-pixelcnn
Users that are interested in conditional-pixelcnn are comparing it to the libraries listed below
Sorting:
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- ☆42Updated 6 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- A discrete sequential VAE☆39Updated 5 years ago
- ☆27Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago
- Like Moving MNIST, but way more flexible☆24Updated 4 years ago
- ☆26Updated 6 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆54Updated 5 years ago
- ☆32Updated 6 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 6 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Updated 5 years ago
- ☆37Updated 5 years ago
- Implementation of REBAR in PyTorch☆17Updated 6 years ago
- Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …☆20Updated 6 years ago
- RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…☆38Updated 7 years ago
- ☆21Updated 5 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 6 years ago
- TensorFlow code for paper: Learning Generative ConvNets via Multi-grid Modeling and Sampling☆24Updated 7 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Distributed A3C☆34Updated 7 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆72Updated 7 years ago