gngdb / variational-dropoutLinks
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
Sorting:
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Updated 4 years ago
- Generative Models with TensorFlow☆31Updated 9 years ago
- Sparsifying Variational Dropout in Tensorflow☆22Updated 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 Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.☆41Updated 9 years ago
- ☆9Updated 8 years ago
- Architecture learning for CNN's☆37Updated 8 years ago
- Code for the "Binding via Reconstruction Clustering" paper☆21Updated 9 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆59Updated 7 years ago
- Reference implementation for Structured Prediction with Deep Value Networks☆55Updated 7 years ago
- Implementation of the reweighted wake-sleep machine learning algorithm☆41Updated 8 years ago
- A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)☆29Updated 7 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
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- Learning RNN Hierarchies☆44Updated 9 years ago
- TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)☆16Updated 8 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 8 years ago
- Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"☆24Updated 7 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆101Updated 9 years ago
- ACDC: A Structured Efficient Linear Layer☆44Updated 9 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- ☆29Updated 8 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- Variational Dropout Sparsifies Deep Neural Networks (Molchanov et al. 2017) by Chainer☆18Updated 8 years ago
- numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641☆53Updated 9 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- ☆17Updated 7 years ago
- ☆16Updated 8 years ago