jrbtaylor / conditional-pixelcnn
A PyTorch implementation of Conditional PixelCNNs
☆27Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for conditional-pixelcnn
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 5 years ago
- ☆40Updated 5 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 5 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆33Updated last year
- A discrete sequential VAE☆38Updated 4 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆39Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 5 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- ☆27Updated 4 years ago
- This repository is no longer maintained. Check☆82Updated 4 years ago
- TensorFlow code for paper: Learning Generative ConvNets via Multi-grid Modeling and Sampling☆24Updated 6 years ago
- Autoregressive Energy Machines☆77Updated last year
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆73Updated 6 years ago
- Very deep VAEs in JAX/Flax☆45Updated 3 years ago
- ☆26Updated 5 years ago
- Implementation of Sum-Product Attend-Infer-Repeat☆30Updated 4 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆53Updated 7 years ago
- Implementation of REBAR in PyTorch☆17Updated 6 years ago
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 5 years ago
- ☆32Updated 6 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 6 years ago
- ☆21Updated 4 years ago
- Tensorflow implementation of Discriminator Rejection Sampling☆24Updated 4 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Updated 5 years ago
- Variational Autoencoders & Normalizing Flows Project☆19Updated 7 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 4 years ago
- Masked Convolutional Flow☆59Updated 4 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆32Updated last year
- Pytorch Implementation of OpenAI's GLOW☆92Updated 3 years ago