jrbtaylor / conditional-pixelcnn
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:
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- ☆42Updated 5 years ago
- A discrete sequential VAE☆39Updated 5 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 6 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago
- ☆21Updated 5 years ago
- Autoregressive Energy Machines☆77Updated 2 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"☆77Updated 4 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 6 years ago
- ☆27Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Implementation of REBAR in PyTorch☆17Updated 6 years ago
- Very deep VAEs in JAX/Flax☆46Updated 3 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- ☆32Updated 6 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 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- This repository is no longer maintained.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
- 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
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Masked Convolutional Flow☆59Updated 5 years ago
- ☆26Updated 6 years ago
- A TensorFlow implementation of perceptual generative autoencoder (PGA).☆23Updated 4 years ago
- Variational Autoencoders & Normalizing Flows Project☆18Updated 8 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
- Code for SegTree Transformer (ICLR-RLGM 2019).☆27Updated 5 years ago