philipperemy / tensorflow-phased-lstm
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0
☆128Updated 6 years ago
Alternatives and similar repositories for tensorflow-phased-lstm:
Users that are interested in tensorflow-phased-lstm are comparing it to the libraries listed below
- Phased LSTM☆302Updated 3 years ago
- Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]☆145Updated 4 years ago
- ☆137Updated 7 years ago
- Batch normalized LSTM for tensorflow☆179Updated 8 years ago
- Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704☆135Updated 7 years ago
- Clockwork RNN in TensorFlow☆61Updated 6 years ago
- ☆92Updated 7 years ago
- Examples of using GridLSTM (and GridRNN in general) in tensorflow☆63Updated 7 years ago
- Extra Layers for Keras to connect CNN with RNN☆154Updated 8 years ago
- Adaptive Computation Time algorithm in Tensorflow☆256Updated 7 years ago
- TensorFlow implementation of normalizations such as Layer Normalization, HyperNetworks.☆111Updated 8 years ago
- A simple Tensorflow based library for deep and/or denoising AutoEncoder.☆149Updated 6 years ago
- Gumbel-Softmax Variational Autoencoder with Keras☆132Updated 7 years ago
- A variational recurrent neural network implementation in tensorflow☆103Updated 7 years ago
- Implementations of "LSTM: A Search Space Odyssey" variants and their training results on the PTB dataset.☆95Updated 7 years ago
- Tensorflow implementation for DilatedRNN☆346Updated 7 years ago
- ☆62Updated 7 years ago
- ☆64Updated 8 years ago
- Code for experiments with our RNN regularizer, which stochastically forces units to maintain previous values.☆78Updated 7 years ago
- Forward Thinking NIPS 2017☆106Updated 7 years ago
- supercell☆191Updated 7 years ago
- ConvLSTMCell for TensorFlow☆59Updated 7 years ago
- Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)☆121Updated last year
- Mixed History Recurrent Neural Networks☆47Updated 6 years ago
- TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"☆84Updated 7 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆115Updated 8 years ago
- Implementation of several different types of autoencoders☆115Updated 2 years ago
- Code and models from the paper "Layer Normalization"☆244Updated 8 years ago
- A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.☆41Updated 8 years ago
- Tensorflow Implementation of GAN modeling for sequential data☆68Updated 7 years ago