emadRad / lstm-gru-pytorch
LSTM and GRU in PyTorch
☆256Updated 6 years ago
Alternatives and similar repositories for lstm-gru-pytorch:
Users that are interested in lstm-gru-pytorch are comparing it to the libraries listed below
- A PyTorch implementation of the TCAN model in "Temporal Convolutional Attention-based Network For Sequence Modeling".☆140Updated last year
- Character based Temporal Convolutional Networks + Attention Layer☆163Updated 6 years ago
- A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)☆301Updated last year
- This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention…☆124Updated 3 years ago
- time series forecasting using pytorch,including ANN,RNN,LSTM,GRU and TSR-RNN,experimental code☆386Updated 5 years ago
- A Pytorch Implementation of "Attention is All You Need" and "Weighted Transformer Network for Machine Translation"☆551Updated 4 years ago
- PTB Language Modelling task with LSTM + Attention layer☆31Updated 6 years ago
- A small and simple tutorial on how to craft a LSTM nn.Module by hand on PyTorch.☆128Updated 4 years ago
- PyTorch implementation of batched bi-RNN encoder and attention-decoder.☆279Updated 6 years ago
- convolutional lstm implementation in pytorch☆158Updated 7 years ago
- Pytorch implementation of R-Transformer. Some parts of the code are adapted from the implementation of TCN and Transformer.☆227Updated 5 years ago
- My implementation of the transformer architecture from the Attention is All you need paper applied to time series.☆315Updated 3 years ago
- Adversarial Sparse Transformer for Time Series Forecasting☆138Updated 3 years ago
- Multi-layer convolutional LSTM with Pytorch☆810Updated 4 years ago
- Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network☆56Updated 5 years ago
- 📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)☆423Updated 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…☆144Updated 6 years ago
- Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with Ten…☆353Updated last year
- attention-based LSTM/Dense implemented by Keras☆297Updated 6 years ago
- Convolutional Transformer for time series☆276Updated 4 years ago
- Minimal RNN classifier with self-attention in Pytorch☆150Updated 3 years ago
- LSTM Classification using Pytorch☆71Updated 6 years ago
- Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction☆336Updated 3 years ago
- PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs☆124Updated 5 years ago
- Pytorch 实现RNN、LSTM、GRU模型☆77Updated 6 years ago
- Implementation of IMDB sentiment classification by GRU with self-attention in PyTorch☆22Updated 5 years ago
- Tensorflow eager implementation of Temporal Convolutional Network (TCN)☆128Updated 5 years ago
- Time series forecast using deep learning transformers (simple, XL, compressive). Implementation in Pytorch and Pytorch Lightning.☆29Updated 4 years ago
- A quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch☆74Updated 4 years ago
- Independently Recurrent Neural Networks (IndRNN) implemented in pytorch.☆133Updated 4 years ago