PanDav2 / Clockwork-RNNLinks
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
Sorting:
- Clockwork RNN in TensorFlow☆61Updated 7 years ago
- Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704☆135Updated 8 years ago
- Implementation of several different types of autoencoders☆116Updated 3 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- Tensorflow Implementation of GAN modeling for sequential data☆69Updated 8 years ago
- ☆62Updated 8 years ago
- A simple Tensorflow based library for deep and/or denoising AutoEncoder.☆150Updated 7 years ago
- Bayesian Weight Uncertainty Dense Layer for Keras☆48Updated 8 years ago
- Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0☆128Updated 6 years ago
- Examples of using GridLSTM (and GridRNN in general) in tensorflow☆62Updated 8 years ago
- Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article☆40Updated 8 years ago
- Variational Recurrent Auto-Encoder using LSTM encoder/decoder networks☆55Updated 9 years ago
- Deep generative models for semi-supervised learning.☆109Updated 8 years ago
- A variational recurrent neural network implementation in tensorflow☆104Updated 7 years ago
- Collection of reinforcement learners implemented in python. Mainly including DQN and its variants☆54Updated 8 years ago
- (Theano) Implementations about deep neural network, recurrent neural network, LSTM, and structured learining.☆10Updated 8 years ago
- Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]☆145Updated 5 years ago
- Collection of autoencoders written in Keras☆37Updated 9 years ago
- Forward Thinking NIPS 2017☆106Updated 7 years ago
- Variational Autoencoders (VAEs) in Theano for Images and Text☆54Updated 7 years ago
- Mixed History Recurrent Neural Networks☆47Updated 7 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆68Updated 8 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆35Updated 7 years ago
- Implementation of Appendix A (Neural Architecture Search with Reinforcement Learning: https://arxiv.org/abs/1611.01578) by chainer☆54Updated 7 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- TensorFlow LSTM-autoencoder implementation☆191Updated 7 years ago
- Tensorflow for Time Series Applications☆68Updated 7 years ago
- Keras implementation of Nested LSTMs☆88Updated 6 years ago
- Implementations of "LSTM: A Search Space Odyssey" variants and their training results on the PTB dataset.☆95Updated 8 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆117Updated 8 years ago