sidaw / fastdropoutLinks
code for fast dropout
☆46Updated 9 years ago
Alternatives and similar repositories for fastdropout
Users that are interested in fastdropout are comparing it to the libraries listed below
Sorting:
- Topics on theoretical, mathematical aspects of DL☆72Updated 8 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 7 years ago
- Cluttered MNIST Dataset☆51Updated 10 years ago
- Repo for code for the NIPS paper entitled "An Architecture for Deep, Hierarchical Generative Models"☆14Updated 8 years ago
- Code of "Max-margin Deep Generative Models" (NIPS15)☆18Updated 9 years ago
- Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"☆24Updated 7 years ago
- Implementation of the reweighted wake-sleep machine learning algorithm☆41Updated 8 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- RNNprop☆36Updated 8 years ago
- ☆11Updated 9 years ago
- Tensorflow Implementation of Multi-Function Recurrent Unit☆23Updated 8 years ago
- Reference implementation for Structured Prediction with Deep Value Networks☆55Updated 7 years ago
- ACDC: A Structured Efficient Linear Layer☆43Updated 9 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Updated 8 years ago
- Demo code for the paper ''Distributional Adversarial Networks''☆19Updated 7 years ago
- Implementation attempt of "From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification"☆54Updated 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
- Sparsifying Variational Dropout in Tensorflow☆22Updated 7 years ago
- Recurrent Convolutional Memory Network (in progress)☆28Updated 9 years ago
- ☆10Updated 10 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Updated 4 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago
- Atari gauntlet for RL agents☆29Updated 8 years ago
- Experiments from the article "Tensorial Mixture Models"☆25Updated 7 years ago
- ☆38Updated 7 years ago
- ☆11Updated 8 years ago
- Learning RNN Hierarchies☆44Updated 8 years ago
- Architecture learning for CNN's☆37Updated 8 years ago