Alternatives and similar repositories for PyTorch-RNN-Tutorial

Users that are interested in PyTorch-RNN-Tutorial are comparing it to the libraries listed below

• viluiz / gan
  Generative adversarial networks (GAN) in a reduced-order model (ROM) framework for time series prediction, data assimilation and uncerta…
  ☆45Updated last year
• arkadaw9 / PGNN
  Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling
  ☆113Updated 4 years ago
• ivivan / SSIM_Seq2Seq
  SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data
  ☆40Updated 4 years ago
• arkadaw9 / PGA_LSTM
  Physics Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modelling
  ☆24Updated 6 years ago
• rsyamil / timeseries-rnn
  Time-series forecasting with 1D Conv model, RNN (LSTM) model and Transformer model. Comparison of long-term and short-term forecasts usin…
  ☆39Updated 2 years ago
• leehyeonbeen / TimeSeriesSeq2Seq
  For sequence-to-sequence beginners. PyTorch-implemented 1DCNN, LSTM, Attention, and Transformers.
  ☆22Updated 4 months ago
• rsyamil / cnn-regression
  A simple guide to a vanilla CNN for regression, potentially useful for engineering applications.
  ☆48Updated 5 years ago
• YuntianChen / EnLSTM
  Ensemble long short-term memory. A gradient-free neural network that combines ensemble neural network and long short-term memory.
  ☆25Updated 4 years ago
• tankwin08 / Bayesian_uncertainty_LSTM
  Bayesian, Uncertainty, Neutral Networks, LSTM, time series
  ☆40Updated 5 years ago
• DowellChan / ResNetRegression
  optimal deep residual regression model
  ☆37Updated last month
• leizhang-geo / ST-CausalConvNet
  A spatiotemporal causal convolutional network for predicting air pollution.
  ☆70Updated 3 years ago
• lixixibj / forecasting-with-time-series-imaging
  time series forecasting with image
  ☆47Updated 2 years ago
• RPcb / ARNN
  ☆43Updated 3 years ago
• LarsBentsen / FFTransformer
  Multi-Step Spatio-Temporal Forecasting: https://authors.elsevier.com/sd/article/S0306-2619(22)01822-0
  ☆84Updated last year
• IBM / spatial-lstm
  Repo related to our AAAI 2021 paper "A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales"
  ☆33Updated 2 months ago
• PawaritL / BayesianLSTM
  Bayesian LSTM Implementation in PyTorch
  ☆114Updated 2 years ago
• zhry10 / DeepLSTM
  Deep LSTM for highly nonlinear system modeling
  ☆56Updated 6 years ago
• ashesh6810 / RCESN_spatio_temporal
  Spatio-temporal forecasting of Lorenz96 with RC-ESN, RNN-LSTM and ANN
  ☆45Updated 5 years ago
• Bosh-Kuo / GNN-LSTM-based-Fusion-Model-for-Structural-Dynamic-Responses-Prediction
  A novel GNN-LSTM-based fusion model which could accurately predict the seismic responses of multiple structures with different geometry.
  ☆90Updated last year
• zlxy9892 / ST-CausalConvNet
  A spatiotemporal causal convolutional network for predicting PM2.5 concentrations.
  ☆36Updated 3 years ago
• Eligijus112 / Vilnius-weather-LSTM
  Repository for the analysis of Vilnius weather using tensorflow
  ☆59Updated 3 years ago
• masatakashiwagi / analysis-tslearn
  Clustering using tslearn for Time Series Data.
  ☆49Updated 3 years ago
• jsyoon0823 / Time-series-prediction
  Basic RNN, LSTM, GRU, and Attention for time-series prediction
  ☆182Updated last year
• jdwillard19 / MTL_lakes
  Meta Transfer Learning for Lake Temperature Prediction
  ☆22Updated 4 years ago
• furkan-luleci / GenerativeAI-in-SHM
  ☆11Updated 2 years ago
• MinNamgung / sa_convlstm
  Base-line model
  ☆17Updated 3 years ago
• bzantium / EA-LSTM
  EA-LSTM: Evolutionary attention-based LSTM for time series prediction
  ☆40Updated 5 years ago
• Jeevesh8 / GHI-prediction
  PyTorch Code for running various time series models for different time stamps and confidence intervals for Solar Irradiance prediction.
  ☆60Updated 5 years ago
• CaiCandong / sa_convLSTM
  ☆12Updated 2 years ago
• JayLago / DLDMD
  Deep learning assisted dynamic mode decomposition
  ☆19Updated 4 years ago