Alternatives and similar repositories for LSTM-GRU-from-scratch:

Users that are interested in LSTM-GRU-from-scratch are comparing it to the libraries listed below

• aaxwaz / Multivariate-Time-Series-forecast-using-seq2seq-in-TensorFlow
  ☆151Updated 7 years ago
• sunfanyunn / DARNN
  A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
  ☆111Updated 10 months ago
• chensvm / A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction
  ☆117Updated 6 years ago
• epishova / Neural-Networks-for-time-series-analysis
  Compare how ANNs, RNNs, LSTMs, and LSTMs with attention perform on time-series analysis
  ☆42Updated 6 years ago
• LukeTonin / keras-seq-2-seq-signal-prediction
  An implementation of a sequence to sequence neural network using an encoder-decoder
  ☆209Updated 5 years ago
• kaka-lin / stock-price-predict
  Implementation of seq2seq with attention in keras
  ☆114Updated 5 years ago
• spallas / time-attention
  Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
  ☆59Updated 2 years ago
• manohar029 / TimeSeries-Seq2Seq-deepLSTMs-Keras
  This project aims to give you an introduction to how Seq2Seq based encoder-decoder neural network architectures can be applied on time se…
  ☆42Updated 6 years ago
• KurochkinAlexey / Hierarchical-Attention-Based-Recurrent-Highway-Networks-for-Time-Series-Prediction
  Pytorch implementation of Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction https://arxiv.org/abs/1806.0…
  ☆64Updated 5 years ago
• danielgy / Paper-List-of-Time-Series-Forecasting-with-Deep-Learning
  ☆92Updated 6 years ago
• YitongCU / Duel-staged-Attention-for-NYC-Weather-prediction
  Dual Staged Attention Model for Time Series prediction
  ☆67Updated 7 years ago
• aditya1709 / DTW_kmedoids
  Multivariate time series clustering using Dynamic Time Warping (DTW) and k-mediods algorithm
  ☆39Updated 7 years ago
• YuanTingHsieh / TF_TCN
  Tensorflow Temporal Convolutional Network
  ☆82Updated last year
• twairball / keras_lstm_vae
  Keras implementation of LSTM Variational Autoencoder
  ☆227Updated 5 years ago
• EsmeYi / time-series-forcasting
  Using K-NN, SVM, Bayes, LSTM, and multi-variable LSTM models on time series forecasting
  ☆49Updated 5 years ago
• cran2367 / understanding-lstm-autoencoder
  Understanding an LSTM Autoencoder
  ☆37Updated 5 years ago
• spdin / time-series-prediction-lstm-pytorch
  Time Series Prediction with LSTM Using PyTorch
  ☆208Updated 5 years ago
• dongkuanx27 / DeepTrends
  Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)
  ☆47Updated 3 years ago
• UAEUniversity / CIT_LSTM_TimeSeries
  LSTM Model for Electric Load Forecasting
  ☆47Updated 6 years ago
• amirstar / Deep-Forecast
  The code of the paper 'Deep Forecast : Deep Learning-based Spatio-Temporal Forecasting", ICML Time Series Workshop 2017.
  ☆119Updated 5 years ago
• chandlerzuo / chandlerzuo.github.io
  My blog.
  ☆78Updated 9 months ago
• 2015xli / DBN
  Simple code tutorial for deep belief network (DBN)
  ☆47Updated 4 years ago
• shashwattrivedi / TimeSeriesTransformerLSTM
  ☆26Updated 5 years ago
• keitakurita / Better_LSTM_PyTorch
  An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.
  ☆133Updated 5 years ago
• iLampard / dual_stage_attention_rnn
  A Tensorflow Implementation of Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
  ☆14Updated 5 years ago
• guillaume-chevalier / Linear-Attention-Recurrent-Neural-Network
  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
• kasungayan / LSTMMSNet
  ☆41Updated 3 years ago
• kristpapadopoulos / seriesnet
  Time series prediction using dilated causal convolutional neural nets (temporal CNN)
  ☆236Updated 2 years ago
• 2M-kotb / LSTM-based-Stacked-Autoencoder
  ☆19Updated 4 years ago
• mjDelta / attention-mechanism-keras
  attention mechanism in keras, like Dense and RNN...
  ☆20Updated 6 years ago