yaoli / nade_k
An iterative neural autoregressive distribution estimator (NADE-K)
☆26Updated 10 years ago
Alternatives and similar repositories for nade_k:
Users that are interested in nade_k are comparing it to the libraries listed below
- Implementation of the reweighted wake-sleep machine learning algorithm☆41Updated 8 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago
- ☆11Updated 8 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Updated 4 years ago
- Tensorflow Implementation of Multi-Function Recurrent Unit☆23Updated 8 years ago
- Professor Forcing, NIPS'16☆46Updated 7 years ago
- RNNprop☆36Updated 7 years ago
- Efficient implementation of Generative Stochastic Networks☆12Updated 11 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- ACDC: A Structured Efficient Linear Layer☆43Updated 9 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 8 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 7 years ago
- simple example of gradient-based hyperparameter optimization using tensorflow☆19Updated 8 years ago
- Learning RNN Hierarchies☆45Updated 8 years ago
- Hyper-parameter Optimization with DrMAD and Hypero☆23Updated 8 years ago
- Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"☆23Updated 7 years ago
- Code for the "Binding via Reconstruction Clustering" paper☆21Updated 9 years ago
- Generative Models with TensorFlow☆31Updated 9 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- ☆38Updated 6 years ago
- numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641☆53Updated 8 years ago
- Experiments from the article "Tensorial Mixture Models"☆25Updated 6 years ago
- Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…☆15Updated 10 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Updated 8 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 8 years ago
- Generative models and other stuff too, maybe, perhaps even probably☆15Updated 9 years ago
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆54Updated 7 years ago
- ☆17Updated 7 years ago
- ☆10Updated 10 years ago
- D-NTM paper repo☆26Updated 7 years ago