jbornschein / bihmLinks
Bidirectional Helmholtz Machines
☆40Updated 9 years ago
Alternatives and similar repositories for bihm
Users that are interested in bihm are comparing it to the libraries listed below
Sorting:
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Updated 8 years ago
- Implementation of the reweighted wake-sleep machine learning algorithm☆41Updated 8 years ago
- ☆11Updated 8 years ago
- Implementations of differentiable stacks, queues, and deques from "Learning to Transduce with Unbounded Memory"☆20Updated 9 years ago
- ACDC: A Structured Efficient Linear Layer☆44Updated 9 years ago
- ☆89Updated 8 years ago
- Generative Models with TensorFlow☆31Updated 9 years ago
- A rudimentary wrapper around the fast Maxwell kernels for GEMM and convolution operations provided by nervanagpu☆34Updated 10 years ago
- simple example of gradient-based hyperparameter optimization using tensorflow☆19Updated 9 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
- Fast CPU implementations of several conditional probabilistic models☆37Updated last year
- Topics on theoretical, mathematical aspects of DL☆72Updated 8 years ago
- Learning RNN Hierarchies☆44Updated 9 years ago
- Natural Gradient implementation in Theano☆19Updated 12 years ago
- Reasonably-okay-performing implementation of a GAN and an adversarial autoencoder on MNIST.☆29Updated 9 years ago
- ☆31Updated 8 years ago
- code referenced in "Towards universal neural nets: Gibbs machines and ACE", Galin Georgiev, http://arxiv.org/abs/1508.06585☆14Updated 9 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 9 years ago
- Train an Infinite Restricted Boltzmann Machine☆28Updated 6 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- ☆58Updated 9 years ago
- ☆35Updated 9 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Updated 4 years ago
- Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch.☆90Updated 9 years ago
- Neural turing machine implementation☆31Updated 9 years ago
- Code for the "Binding via Reconstruction Clustering" paper☆21Updated 9 years ago
- ☆23Updated 9 years ago
- Code for the recurrent image density estimator☆29Updated 9 years ago
- ☆34Updated 8 years ago
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆54Updated 8 years ago