Alternatives and similar repositories for STLDecompose:

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

• seninp / saxpy
  Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python
  ☆209Updated last year
• LeeDoYup / RobustSTL
  Unofficial Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019)
  ☆281Updated 4 years ago
• arrigonialberto86 / deepar
  Tensorflow implementation of Amazon DeepAR
  ☆307Updated 3 years ago
• kdgutier / esrnn_torch
  ☆156Updated 3 years ago
• mohaseeb / shaplets-python
  Python implementation of the Learning Time-Series Shapelets method, that learns a shapelet-based time-series classifier with gradient des…
  ☆217Updated 5 years ago
• ruipgil / changepy
  Time series changepoint detection
  ☆102Updated last year
• statefb / singular-spectrum-transformation
  fast implementation of singular spectrum transformation (change point detection algorithm)
  ☆51Updated 6 years ago
• kLabUM / rrcf
  🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
  ☆501Updated 9 months ago
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆118Updated 6 years ago
• dmbee / seglearn
  Python module for machine learning time series:
  ☆573Updated 2 years ago
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 3 years ago
• aj-cloete / pssa
  Singular Spectrum Analysis for time series forecasting in Python
  ☆141Updated 4 years ago
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆355Updated 3 years ago
• nachonavarro / seasonal-esd-anomaly-detection
  Anomaly detection algorithm implemented at Twitter
  ☆112Updated last year
• damitkwr / ESRNN-GPU
  PyTorch GPU implementation of the ES-RNN model for time series forecasting
  ☆319Updated 5 years ago
• intive-DataScience / tbats
  BATS and TBATS forecasting methods
  ☆181Updated last year
• zhykoties / TimeSeries
  Implementation of deep learning models for time series in PyTorch.
  ☆377Updated 4 years ago
• antoinecarme / pyaf
  PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
  ☆458Updated 3 weeks ago
• opringle / multivariate_time_series_forecasting
  A place to implement state of the art deep learning methods for temporal modelling using python and MXNet.
  ☆65Updated 4 years ago
• pedrolarben / TimeSeriesForecasting-DeepLearning
  An experiemtal review on deep learning architectures for time series forecasting
  ☆140Updated 3 years ago
• Marcnuth / AnomalyDetection
  Twitter's Anomaly Detection in Pure Python
  ☆306Updated last year
• albertogaspar / dts
  A Keras library for multi-step time-series forecasting.
  ☆175Updated last year
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆236Updated 4 years ago
• Vincent-Vercruyssen / anomatools
  Toolbox for anomaly detection.
  ☆78Updated last year
• danielgy / Paper-List-of-Time-Series-Forecasting-with-Deep-Learning
  ☆91Updated 6 years ago
• akash13singh / lstm_anomaly_thesis
  Anomaly detection for temporal data using LSTMs
  ☆224Updated 3 years ago
• OpenIDEA-YunanUniversity / ycimpute
  A missing value imputation library based on machine learning. It's implementation missForest, simple edition of MICE(R pacakge), knn, EM,…
  ☆106Updated 9 months ago
• KDD-OpenSource / DeepADoTS
  Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
  ☆571Updated 2 years ago
• kristpapadopoulos / seriesnet
  Time series prediction using dilated causal convolutional neural nets (temporal CNN)
  ☆235Updated 2 years ago
• aurotripathy / lstm-anomaly-detect
  Example code for neural-network-based anomaly detection of time-series data (uses LSTM)
  ☆175Updated 7 years ago