Alternatives and similar repositories for trmf

Users that are interested in trmf are comparing it to the libraries listed below

• rofuyu / exp-trmf-nips16
  Experimental Codes for Temporal Regularized Matrix Factoriztion for High-dimensional Time Series Prediction.
  ☆79Updated 6 years ago
• smallGum / MLCNN-Multivariate-Time-Series
  Codes for Multi-Level Construal Neural Network framework
  ☆48Updated 4 years ago
• JacobWang95 / mWDN
  ☆52Updated 6 years ago
• mbohlkeschneider / gluon-ts
  GluonTS - Probabilistic Time Series Modeling in Python
  ☆51Updated 3 years ago
• Z-GCNETs / Z-GCNETs
  ☆39Updated 3 years ago
• felixykliu / NAOMI
  ☆52Updated 5 years ago
• drzhang3 / DeepTimeSeriesModel
  A paper list for Time series modelling, including prediciton and anomaly detection
  ☆93Updated 5 years ago
• xinychen / tracebase
  Temporal matrix factorization for sparse traffic time series forecasting.
  ☆57Updated last month
• vincent-leguen / STRIPE
  Code for our NeurIPS 2020 paper "Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity"
  ☆88Updated 4 years ago
• weifantt / DEPTS
  ☆42Updated 3 years ago
• fengyang95 / Awesome-Deep-Learning-Based-Time-Series-Forecasting
  ☆148Updated 4 years ago
• huawei-noah / BHT-ARIMA
  Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)
  ☆107Updated 4 years ago
• zhiyongc / GRU-D
  Gated Recurrent Unit with a Decay mechanism for Multivariate Time Series with Missing Values
  ☆118Updated 6 years ago
• mcgill-smart-transport / bgcp_imputation
  Bayesian Tensor Decomposition Approach for Incomplete Traffic Data Imputation
  ☆32Updated 5 years ago
• dongkuanx27 / DeepTrends
  Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)
  ☆48Updated 3 years ago
• NIPS-BRITS / BRITS
  ☆82Updated 3 years ago
• JLDeng / ST-Norm
  [KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"
  ☆59Updated last year
• spallas / time-attention
  Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
  ☆59Updated 2 years ago
• steveli / partial-encoder-decoder
  An encoder-decoder framework for learning from incomplete data
  ☆45Updated last year
• ostadabbas / DSARF
  DSARF: Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting (AAAI2021)
  ☆24Updated 3 years ago
• networkslab / rnn_flow
  ☆23Updated 4 years ago
• YitongCU / Duel-staged-Attention-for-NYC-Weather-prediction
  Dual Staged Attention Model for Time Series prediction
  ☆66Updated 7 years ago
• Rose-STL-Lab / Spatiotemporal_UQ
  Uncertainty Quantification for Deep Spatiotemporal Forecasting
  ☆23Updated 9 months ago
• yuqirose / tensor_train_RNN
  Clean repo for tensor-train RNN implemented in TensorFlow
  ☆69Updated 5 years ago
• Daikon-Sun / AdjustAutocorrelation
  Adjusting for Autocorrelated Errors in Neural Networks for Time Series
  ☆58Updated 3 years ago
• oneday88 / deepTCN
  ☆157Updated 3 years ago
• aaqib-ali / LSTNet_Pytorch
  Update Code for Modeling Long and Short-Term Temporal Patterns with Deep Neural Networks.(https://arxiv.org/abs/1703.07015)
  ☆32Updated 5 years ago
• zjuwuyy-DL / Generative-Semi-supervised-Learning-for-Multivariate-Time-Series-Imputation
  ☆31Updated 3 years ago
• omitakahiro / NeuralNetworkPointProcess
  code for "Fully Neural Network based Model for General Temporal Point Processes"
  ☆61Updated 4 years ago
• Luoyonghong / E2EGAN
  ☆84Updated 6 years ago