jalexvig / associative_compression_networksLinks
☆42Updated 6 years ago
Alternatives and similar repositories for associative_compression_networks
Users that are interested in associative_compression_networks are comparing it to the libraries listed below
Sorting:
- Reimplementation code for the paper "Generative Temporal Models with Spatial Memory for Partially Observed Environments"☆29Updated 2 years ago
- ☆12Updated 7 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Demonstration of Jackknife Variational Inference for Variational Autoencoders, related to ICLR 2018 paper.☆21Updated 7 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 7 years ago
- Code to build VAE models that are jointly conditioned.☆36Updated 7 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
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)☆30Updated 4 years ago
- ☆17Updated 7 years ago
- A simple shellscript for splitting the PDF of a paper into the main body and an appendix.☆18Updated 5 years ago
- Deep variational inference in tensorflow☆56Updated 7 years ago
- Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)☆80Updated 7 years ago
- ☆43Updated 6 years ago
- ☆17Updated 7 years ago
- Code for "Boosted Generative Models", AAAI 2018.☆20Updated 7 years ago
- Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"☆24Updated 7 years ago
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆26Updated 7 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆42Updated 6 years ago
- ☆26Updated 6 years ago
- PyTorch Impl. of Prediction Optimizer (to stabilize GAN training)☆31Updated 6 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Updated 4 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Generalized Compressed Network Search with PyTorch☆26Updated 7 years ago
- ☆29Updated 8 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- Experiments from the article "Tensorial Mixture Models"☆25Updated 7 years ago
- PyTorch implementation of AVF☆45Updated 4 years ago