gngdb / variational-dropout
Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.
☆33Updated 7 years ago
Alternatives and similar repositories for variational-dropout:
Users that are interested in variational-dropout are comparing it to the libraries listed below
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago
- Sparsifying Variational Dropout in Tensorflow☆22Updated 7 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Updated 4 years ago
- Generative Models with TensorFlow☆31Updated 9 years ago
- Experiment files for the paper "An Analysis of Unsupervised Pre-training in Light of Recent Advances", available here: http://arxiv.org/a…☆18Updated 9 years ago
- A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.☆41Updated 9 years ago
- Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"☆24Updated 7 years ago
- Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch.☆90Updated 8 years ago
- Code for the "Binding via Reconstruction Clustering" paper☆21Updated 9 years ago
- Architecture learning for CNN's☆37Updated 8 years ago
- Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016☆14Updated 5 years ago
- ☆9Updated 8 years ago
- Implementation of the reweighted wake-sleep machine learning algorithm☆41Updated 8 years ago
- ACDC: A Structured Efficient Linear Layer☆43Updated 9 years ago
- Learning RNN Hierarchies☆44Updated 8 years ago
- Torch implementation reproducing MNIST experiments from DeepMind's DNI paper.☆43Updated 8 years ago
- D-NTM paper repo☆25Updated 7 years ago
- ☆29Updated 7 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- Torch7 implementation of "Regularization of Neural Networks using DropConnect"☆30Updated 9 years ago
- ☆63Updated 8 years ago
- Implementation of Adversarial Autoencoder with Theano☆40Updated 8 years ago
- ☆17Updated 7 years ago
- Noise-as-targets representation learning for cifar10. Implementation based on the paper "Unsupervised Learning by Predicting Noise" by Bo…☆23Updated 7 years ago
- A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)☆29Updated 7 years ago
- Cluttered MNIST Dataset☆51Updated 10 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 8 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆101Updated 9 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago