jbornschein / reweighted-wsLinks
Implementation of the reweighted wake-sleep machine learning algorithm
☆41Updated 8 years ago
Alternatives and similar repositories for reweighted-ws
Users that are interested in reweighted-ws are comparing it to the libraries listed below
Sorting:
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Updated 8 years ago
- ☆11Updated 8 years ago
- Topics on theoretical, mathematical aspects of DL☆72Updated 8 years ago
- ☆35Updated 9 years ago
- Learning RNN Hierarchies☆44Updated 8 years ago
- Tensorflow Implementation of Multi-Function Recurrent Unit☆23Updated 8 years ago
- Universal library for deep reinforcement learning.☆38Updated 9 years ago
- ACDC: A Structured Efficient Linear Layer☆43Updated 9 years ago
- Implementations of differentiable stacks, queues, and deques from "Learning to Transduce with Unbounded Memory"☆20Updated 9 years ago
- Torch test module☆24Updated 9 years ago
- Query complex neural network graph structures in Torch☆28Updated 9 years ago
- Deterministic Policy Gradient using torch7☆43Updated 9 years ago
- Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch.☆90Updated 9 years ago
- A rudimentary wrapper around the fast Maxwell kernels for GEMM and convolution operations provided by nervanagpu☆34Updated 10 years ago
- Cluttered MNIST Dataset☆51Updated 10 years ago
- Generative Models with TensorFlow☆31Updated 9 years ago
- Bidirectional Helmholtz Machines☆40Updated 9 years ago
- more composable than other neural network libraries☆42Updated 8 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago
- ☆60Updated 10 years ago
- Torch implementation reproducing MNIST experiments from DeepMind's DNI paper.☆43Updated 8 years ago
- Component Analysis using Torch7 (PCA, Whitened PCA, LDA, LPP, NPP, FastICA)☆29Updated 10 years ago
- Implementation of a simple example of Q learning in Torch.☆50Updated 8 years ago
- ☆31Updated 8 years ago
- simple example of gradient-based hyperparameter optimization using tensorflow☆19Updated 9 years ago
- DNI(Decoupled Neural Interfaces using Synthetic Gradients) implementation with Torch☆29Updated 8 years ago
- Recurrent modules for Torch☆27Updated 8 years ago
- Recurrent Neural Network library for Torch7's nn☆19Updated 8 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 7 years ago
- ☆89Updated 8 years ago