Alternatives and similar repositories for vae_for_time_series:

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

• BLarzalere / Temporal-Fusion-Transformer
  Probabilistic Forecast of a Multivariate Time Series using the Temporal Fusion Transformer & PyTorch Lightning
  ☆17Updated 2 years ago
• KDDtest / SCNN
  ☆11Updated 10 months ago
• OrigamiSL / GBT
  Source code of paper: GBT: Two-stage Transformer Framework for Non-stationary Time Series Forecasting.
  ☆37Updated 11 months ago
• KasperGroesLudvigsen / xgboost_time_series
  How to use XGBoost for multi-step time series forecasting
  ☆38Updated 2 years ago
• CapWidow / W-Transformer
  ☆29Updated 2 years ago
• h3ik0th / TFT_darts
  probabilistic forecasting with Temporal Fusion Transformer
  ☆39Updated 3 years ago
• remigenet / SigKAN
  SigKAN: Signature-Weighted Kolmogorov-Arnold Networks for Time Series
  ☆42Updated 2 months ago
• msunil10052 / Multivariate-Time-Series-Forecasting
  Repository for Machine Learning and Deep Learning Models for Multivariate Time Series Forecasting
  ☆18Updated 5 years ago
• Melmaphother / TimeDART
  This is the official PyTorch implementation of the paper: TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Seri…
  ☆44Updated this week
• aryan-jadon / Regression-Loss-Functions-in-Time-Series-Forecasting-Tensorflow
  This repository contains the implementation of paper Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecastin…
  ☆79Updated 2 years ago
• grimmlab / ForeTiS
  Time Series Forecasting in Python
  ☆12Updated 3 weeks ago
• lich99 / TiDE
  Unofficial Implementation of Long-term Forecasting with TiDE: Time-series Dense Encoder
  ☆51Updated last year
• shamimsa / multivariate_timeseries_classification
  Binary classification of multivariate time series data using LSTM and XGBoost
  ☆25Updated 6 years ago
• brunoklein99 / deepar
  An Implementation of DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
  ☆34Updated 6 years ago
• 3catz / deeplearning_timeseries
  Deep Learning + Time Series Analysis
  ☆27Updated 5 years ago
• TsLu1s / tsforecasting
  TSForecasting: Automated Time Series Forecasting Framework
  ☆28Updated 3 months ago
• Ennosigaeon / auto-sktime
  ☆18Updated 10 months ago
• qianlima-lab / DiffShape
  This is an official pytorch implementation for paper "Diffusion Language-Shapelets for Semi-supervised Time-Series Classification" (AAAI-…
  ☆29Updated 8 months ago
• davidanastasiu / NECPlus
  NECPlus
  ☆18Updated last year
• TROUBADOUR000 / AMD
  PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI2025)
  ☆32Updated 7 months ago
• lixixibj / forecasting-with-time-series-imaging
  time series forecasting with image
  ☆45Updated last year
• huytjuh / Subsequence-Time-Series-Clustering
  Extending state-of-the-art Time Series Forecasting with Subsequence Time Series (STS) Clustering to enforce model seasonality adaptation.
  ☆17Updated 2 years ago
• haoyfan / SemiTime
  SemiTime (ICASSP2021)
  ☆39Updated 3 years ago
• UConn-DSIS / Empowering-Time-Series-Analysis-with-LLM
  Official website for "Empowering Time Series Analysis with Large Language Models: A Survey"
  ☆104Updated 8 months ago
• stitsyuk / xPatch
  [AAAI 2025] Official implementation of "xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition"
  ☆18Updated 2 weeks ago
• PingChang818 / TDSTF
  ☆69Updated last year
• mounalab / Temporal-fusion-transformer_Pytorch-Forecasting
  Using Temporal Fusion Transformer for Book sales forecasting use case. We use the model implementation available in Pytorch Forecasting l…
  ☆17Updated last year
• AIStream-Peelout / flow_tutorials
  Public tutorials of using Flow Forecast for forecasting and classifying time series data
  ☆42Updated 9 months ago
• haochenglouis / RobustTSF
  [ICLR 2024] Official code of RobustTSF
  ☆18Updated 11 months ago