PanDav2 / Clockwork-RNN
This repository is a reproduction of the clockwork RNN paper.
☆20Updated 8 years ago
Alternatives and similar repositories for Clockwork-RNN:
Users that are interested in Clockwork-RNN are comparing it to the libraries listed below
- Clockwork RNN in TensorFlow☆61Updated 6 years ago
- Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704☆135Updated 7 years ago
- Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article☆41Updated 7 years ago
- ☆62Updated 7 years ago
- Tensorflow Implementation of GAN modeling for sequential data☆68Updated 7 years ago
- Examples of using GridLSTM (and GridRNN in general) in tensorflow☆63Updated 7 years ago
- ClockworkRNN implementation using python and Theano☆17Updated 9 years ago
- a keras toolkit☆35Updated 8 years ago
- Implementations of "LSTM: A Search Space Odyssey" variants and their training results on the PTB dataset.☆95Updated 7 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0☆128Updated 6 years ago
- Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS"☆81Updated 7 years ago
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆59Updated 13 years ago
- Bayesian Weight Uncertainty Dense Layer for Keras☆48Updated 8 years ago
- ConvLSTMCell for TensorFlow☆59Updated 7 years ago
- Implementation of the VRAE☆58Updated 3 years ago
- Variational Recurrent Auto-Encoder using LSTM encoder/decoder networks☆54Updated 8 years ago
- Professor Forcing, NIPS'16☆46Updated 7 years ago
- Implementation of Appendix A (Neural Architecture Search with Reinforcement Learning: https://arxiv.org/abs/1611.01578) by chainer☆54Updated 6 years ago
- Batch normalized LSTM for tensorflow☆179Updated 8 years ago
- Deep variational inference in tensorflow☆56Updated 6 years ago
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆54Updated 7 years ago
- A Quick and Dirty Progressive Neural Network written in TensorFlow.☆52Updated 6 years ago
- LSTM-Attention☆74Updated 7 years ago
- (Theano) Implementations about deep neural network, recurrent neural network, LSTM, and structured learining.☆10Updated 8 years ago
- simple example of gradient-based hyperparameter optimization using tensorflow☆19Updated 8 years ago
- Deep generative models for semi-supervised learning.☆108Updated 8 years ago
- Mixed History Recurrent Neural Networks☆47Updated 6 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆35Updated 6 years ago
- Implementation of several different types of autoencoders☆115Updated 2 years ago