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
- Structured Prediction Energy Networks in Torch☆132Updated 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
- The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)☆72Updated 7 years ago
- Implementation attempt of "From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification"☆55Updated 8 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 7 years ago
- DrMAD☆107Updated 7 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 4 years ago
- Implementation of the reweighted wake-sleep machine learning algorithm☆42Updated 9 years ago
- ☆89Updated 8 years ago
- ☆62Updated 8 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆103Updated 9 years ago
- Lasagne code for weight normalization☆88Updated 9 years ago
- PixelVAE with or without regularization☆68Updated 8 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- Cluttered MNIST Dataset☆53Updated 10 years ago
- ☆36Updated 10 years ago
- ☆64Updated 8 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆117Updated 8 years ago
- Reference implementation for Structured Prediction with Deep Value Networks☆55Updated 8 years ago
- Flattened convolutional neural networks (1D convolution modules for Torch nn)☆61Updated 10 years ago
- An implementation of the Hessian-free optimization algorithm in Theano☆61Updated 13 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Updated 5 years ago
- Doubly Stochastic Neighbor Embedding on Spheres☆59Updated 6 years ago
- ACDC: A Structured Efficient Linear Layer☆44Updated 9 years ago
- Multiclass classification based on stochastic dual coordinate ascent☆34Updated 8 years ago
- Variational Autoencoders (VAEs) in Theano for Images and Text☆54Updated 7 years ago
- Code of "Max-margin Deep Generative Models" (NIPS15)☆18Updated 9 years ago