akosiorek / attend_infer_repeat
A Tensorfflow implementation of Attend, Infer, Repeat
☆81Updated 6 years ago
Alternatives and similar repositories for attend_infer_repeat:
Users that are interested in attend_infer_repeat are comparing it to the libraries listed below
- TensorFlow-based implementation of "Attend, Infer, Repeat" paper (Eslami et al., 2016, arXiv:1603.08575).☆42Updated 7 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research☆95Updated 7 years ago
- Implementation of Sequential Attend, Infer, Repeat (SQAIR)☆97Updated 5 years ago
- PixelVAE with or without regularization☆66Updated 7 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆54Updated 7 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago
- Disentangled Variational AutoEncoder with PyTorch☆29Updated 6 years ago
- Like Moving MNIST, but way more flexible☆24Updated 4 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- Code for the "Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions" paper.☆73Updated 2 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 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
- Implementation of Sequential Variational Autoencoder☆88Updated 7 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- ☆63Updated 8 years ago
- Code for Attentive Recurrent Comparators☆57Updated 8 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 8 years ago
- Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013☆93Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Updated 5 years ago
- Code of the paper `Disentangling factors of variation in deep representations using adversarial training` by Mathieu, Zaho, Ramesh, Sprec…☆21Updated 7 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 6 years ago
- Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch☆119Updated 7 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago