Alternatives and similar repositories for Convolutional-GAIN

Users that are interested in Convolutional-GAIN are comparing it to the libraries listed below

• WenjieDu / Awesome_Imputation
  Awesome Deep Learning for Time-Series Imputation, including an unmissable paper and tool list about applying neural networks to impute in…
  ☆344Updated last month
• GRYGY1215 / MTPNet
  ☆12Updated last year
• Masterleia / TSF_LSTF_Compare
  Time series forecasting especially in LSTF compare，include Informer, Autoformer, Reformer, Pyraformer, FEDformer, Transformer, MTGNN, LST…
  ☆117Updated 2 years ago
• FateMurphy / CEEMDAN_LSTM
  CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.
  ☆267Updated 4 months ago
• JustusvLiebig / Soft_Sensor_Experiments
  ☆90Updated 3 years ago
• Atrin78 / Attention-based-Time-Series-Generation
  A transformer guided GAN to generate synthetic time-series data.
  ☆33Updated 3 years ago
• yunyueye / MVMD
  Function for decomposing a signal according to the Multivariate Variational Mode Decomposition in Pytorch
  ☆26Updated last year
• WenjieDu / SAITS
  The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (S…
  ☆435Updated last month
• dhanajitb / GAIN-Pytorch
  Pytorch implementation of GAIN for missing data imputation
  ☆74Updated last year
• lpphd / multivariate-attention-tcn
  ☆97Updated 2 years ago
• FateMurphy / CEEMDAN-VMD-GRU
  CEEMDAN-VMD-LSTM Forecasting model (a light version of CEEMDAN_LSTM)
  ☆96Updated 2 years ago
• msskx / TE-Informer
  Air pollution prediction based on improved Informer model: a case study applied to the Yan'an city of China
  ☆14Updated last year
• renqi1 / Time_Series_Classification
  ☆49Updated 2 years ago
• RadiantResearch / TSAT
  Transformer based model for time series prediction
  ☆131Updated 3 years ago
• G-avin / -
  CSDN中的代码 在github中建立仓库存储
  ☆27Updated 2 years ago
• vrcarva / vmdpy
  Variational mode decomposition (VMD) in Python
  ☆383Updated last year
• plumprc / MTS-Mixers
  MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing
  ☆226Updated 2 years ago
• Ray-0403 / superblack.github.io
  A novel time series forecasting model, called CEEMDAN-TCN.
  ☆11Updated 3 years ago
• qiumiao30 / time-series-anomaly-detection
  List of papers & datasets for anomaly detection on multivariate time-series data.
  ☆26Updated 3 years ago
• WenjieDu / PyGrinder
  PyGrinder: a Python toolkit for grinding data beans into the incomplete for real-world data simulation by introducing missing values with…
  ☆56Updated 2 months ago
• WY-Lan / TSA-LSTM-and-PSO-LSTM
  Tree seed algorithm and Particle Swarm algorithm are used for searching the LSTM hyper parameters
  ☆11Updated 2 years ago
• zzw-zwzhang / TimeGAN-pytorch
  Pytorch implementation of the paper "Time-series Generative Adversarial Networks".
  ☆98Updated 2 years ago
• Corezcy / EEMD-LSTM-DO-Prediction
  EEMD、LSTM、time series prediction、DO、Deep Learning
  ☆88Updated 3 years ago
• ylkyc / ironmaking-zju
  Industrial process, Silicon content, molten iron quality (MIQ) prediction, soft sensor, deep learning, sintering process, blast furnace i…
  ☆28Updated last year
• LarsBentsen / FFTransformer
  Multi-Step Spatio-Temporal Forecasting: https://authors.elsevier.com/sd/article/S0306-2619(22)01822-0
  ☆80Updated last year
• TonyEinstein / informer_ChineseNotes
  ☆69Updated 2 years ago
• Navidfoumani / Disjoint-CNN
  Disjoint-CNN for Multivariate Time Series Classification
  ☆22Updated last year
• EnbinYang / tb_prediction_files
  A multivariate multi-step LSTM forecasting model for tuberculosis incidence with model explanation
  ☆27Updated 3 years ago
• quovadisss / TimeSeriesForecasting_AI_team1
  Seoultech AI Class Team Project
  ☆13Updated 4 years ago
• ashrafalaghbari / GA-TCN-LSTM
  An Ensemble DL Model Tuned with Genetic Algorithm for Oil Production Forecasting.
  ☆72Updated last year