zihangdai / cegan_iclr2017
Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"
☆24Updated 7 years ago
Alternatives and similar repositories for cegan_iclr2017:
Users that are interested in cegan_iclr2017 are comparing it to the libraries listed below
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Updated 4 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)☆29Updated 7 years ago
- Implementation of REBAR in PyTorch☆17Updated 6 years ago
- Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)☆48Updated 6 years ago
- Variational Dropout Sparsifies Deep Neural Networks (Molchanov et al. 2017) by Chainer☆18Updated 7 years ago
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆24Updated 6 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 6 years ago
- D-NTM paper repo☆25Updated 7 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 8 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 7 years ago
- Learning RNN Hierarchies☆44Updated 8 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago
- Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks☆35Updated 7 years ago
- Tensorflow Implementation of Multi-Function Recurrent Unit☆23Updated 8 years ago
- ☆17Updated 7 years ago
- Experiments from "The Description Length of Deep Learning Models"☆10Updated 6 years ago
- ☆37Updated 5 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- Repo for code for the NIPS paper entitled "An Architecture for Deep, Hierarchical Generative Models"☆14Updated 8 years ago
- Playground for reinforcement learning algorithms implemented in TensorFlow☆16Updated 8 years ago
- ☆12Updated 7 years ago
- ☆29Updated 7 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- ☆28Updated 3 years ago
- Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders☆22Updated 8 years ago
- ☆11Updated 8 years ago
- Translating neuralese☆44Updated 7 years ago