titu1994 / Keras-Multiplicative-LSTMLinks
Miltiplicative LSTM for Keras 2.0+
☆42Updated 7 years ago
Alternatives and similar repositories for Keras-Multiplicative-LSTM
Users that are interested in Keras-Multiplicative-LSTM are comparing it to the libraries listed below
Sorting:
- Keras implementation of Nested LSTMs☆88Updated 6 years ago
- Implementation of LSTM GAN for twitter posts generating.☆30Updated 8 years ago
- Tensorflow implementation of Graph Convolutional Network☆77Updated 4 years ago
- Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"☆39Updated 8 years ago
- Sorting numbers with pointer networks☆55Updated 7 years ago
- Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article☆40Updated 7 years ago
- Optimized Differentiable Neural Computer In Chainer☆23Updated 7 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- Implementation of Symmetric SNE and t-SNE in numpy and python☆76Updated 4 years ago
- A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head atte…☆145Updated 6 years ago
- LSTM and Hierarchical Attention Network on DSVM☆41Updated 7 years ago
- Tensorflow Implementation of GAN modeling for sequential data☆69Updated 8 years ago
- Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704☆135Updated 7 years ago
- Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]☆144Updated 5 years ago
- Augmenting word embeddings with their surrounding context using bidirectional RNN☆60Updated 5 years ago
- PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…☆44Updated 11 years ago
- Clockwork RNN in TensorFlow☆61Updated 7 years ago
- 🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.☆82Updated 3 years ago
- Library to train parallel-aligned sequence data based on Keras☆51Updated 8 years ago
- An implementation of LSTM with Recurrent Batch Normalization.☆19Updated 8 years ago
- Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0☆128Updated 6 years ago
- ☆51Updated 9 years ago
- pytorch implementation of grammar variational autoencoder☆63Updated 6 years ago
- This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request☆33Updated 8 years ago
- Denoising Adversairal Autoencoders☆40Updated 8 years ago
- Simple TimeDistributed() wrapper Demo in Keras; sums images of MNIST digits☆60Updated 7 years ago
- (Theano) Implementations about deep neural network, recurrent neural network, LSTM, and structured learining.☆10Updated 8 years ago
- Variational Recurrent Auto-Encoder using LSTM encoder/decoder networks☆55Updated 9 years ago
- Bayesian Weight Uncertainty Dense Layer for Keras☆48Updated 8 years ago
- A CNN with an attentional module that I built while attending the brains minds and machines summer course☆68Updated 6 years ago