jingyuanz / keras-self-attention-layerLinks
a simple implementation of self attention layer that outputs flattened sentence embedding matrix, with the Frobenius norm penalty
☆16Updated 7 years ago
Alternatives and similar repositories for keras-self-attention-layer
Users that are interested in keras-self-attention-layer are comparing it to the libraries listed below
Sorting:
- Time Delayed NN implemented in pytorch☆81Updated 8 years ago
- Keras Implementation of Deepmind's WaveNet for Supervised Learning Tasks☆64Updated 6 years ago
- Layer normalization implemented in Keras☆60Updated 3 years ago
- ☆40Updated 7 years ago
- Minimal implementation of Contrastive Predictive Coding for audio.☆17Updated 6 years ago
- ☆27Updated 6 years ago
- Pytorch implementation of R-Transformer. Some parts of the code are adapted from the implementation of TCN and Transformer.☆231Updated 6 years ago
- ☆45Updated 6 years ago
- Orkis-Research / Quaternion-Convolutional-Neural-Networks-for-End-to-End-Automatic-Speech-RecognitionThis is the code for the paper 'Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition'. It provides all th…☆66Updated 6 years ago
- A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"☆83Updated 7 years ago
- This repository contains the code to reproduce the core results from the paper "Unsupervised Learning of Disentangled and Interpretable R…☆156Updated 7 years ago
- Framewise phoneme classification on the TIMIT dataset using neural networks☆19Updated 9 years ago
- Pytorch implement WaveNet☆93Updated 7 years ago
- CTC for emotion recognition☆61Updated 8 years ago
- seq2seq attention in keras☆39Updated 6 years ago
- Tensorflow - Very Deep Convolutional Neural Networks For Raw Waveforms - https://arxiv.org/pdf/1610.00087.pdf☆75Updated 4 years ago
- ☆36Updated 8 years ago
- A PyTorch implementation of fast-wavenet☆92Updated 7 years ago
- This repository contains the code to reproduce the core results from the paper "Scalable Factorized Hierarchical Variational Autoencoders…☆53Updated 7 years ago
- An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.☆134Updated 6 years ago
- Dilated RNNs in pytorch☆211Updated 6 years ago
- ☆27Updated 8 years ago
- Speech2vec pre-trained word vectors☆76Updated 7 years ago
- This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention…☆127Updated 4 years ago
- Code for experiments with our RNN regularizer, which stochastically forces units to maintain previous values.☆78Updated 8 years ago
- Adaptive embedding and softmax☆17Updated 3 years ago
- THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is c…☆34Updated 7 years ago
- PyTorch implementations of LSTM Variants (Dropout + Layer Norm)☆137Updated 4 years ago
- Code for "Online and Linear Time Attention by Enforcing Monotonic Alignments"☆93Updated 7 years ago
- lstm with layer normalization☆20Updated 4 years ago