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
- Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"☆130Updated 8 years ago
- Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT☆207Updated 9 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆103Updated 9 years ago
- Structured Prediction Energy Networks in Torch☆132Updated 8 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 8 years ago
- ☆89Updated 8 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆117Updated 9 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Updated 5 years ago
- Deep variational inference in tensorflow☆57Updated 7 years ago
- Deep generative models for semi-supervised learning.☆109Updated 8 years ago
- Variational Autoencoders (VAEs) in Theano for Images and Text☆54Updated 7 years ago
- A Quick and Dirty Progressive Neural Network written in TensorFlow.☆51Updated 7 years ago
- Deep Generative Models with Stick-Breaking Priors☆96Updated 9 years ago
- The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)☆71Updated 7 years ago
- Implementation of the reweighted wake-sleep machine learning algorithm☆42Updated 9 years ago
- Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"☆24Updated 8 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- ☆62Updated 8 years ago
- Cluttered MNIST Dataset☆53Updated 10 years ago
- PixelVAE with or without regularization☆69Updated 8 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 11 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 4 years ago
- Demo code for the paper ''Distributional Adversarial Networks''☆19Updated 7 years ago
- ☆64Updated 8 years ago
- Scrapes the abstracts to NIPS 2017 papers.☆40Updated 8 years ago
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆54Updated 8 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago
- MADE: Masked Autoencoder for Distribution Estimation☆103Updated 5 years ago
- A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)☆29Updated 8 years ago