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
  ☆215Updated last month
• statefb / singular-spectrum-transformation
  fast implementation of singular spectrum transformation (change point detection algorithm)
  ☆51Updated 7 years ago
• ruipgil / changepy
  Time series changepoint detection
  ☆104Updated last year
• aj-cloete / pssa
  Singular Spectrum Analysis for time series forecasting in Python
  ☆147Updated 4 years ago
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆361Updated 3 years ago
• LeeDoYup / RobustSTL
  Unofficial Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019)
  ☆301Updated 5 years ago
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆116Updated 7 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…
  ☆222Updated 5 years ago
• kdgutier / esrnn_torch
  ☆157Updated 4 years ago
• nachonavarro / seasonal-esd-anomaly-detection
  Anomaly detection algorithm implemented at Twitter
  ☆114Updated 2 years ago
• intive-DataScience / tbats
  BATS and TBATS forecasting methods
  ☆183Updated 2 years ago
• dmbee / seglearn
  Python module for machine learning time series:
  ☆577Updated 3 years ago
• arrigonialberto86 / deepar
  Tensorflow implementation of Amazon DeepAR
  ☆310Updated 4 years ago
• PYFTS / pyFTS
  An open source library for Fuzzy Time Series in Python
  ☆275Updated last year
• TimeSynth / TimeSynth
  A Multipurpose Library for Synthetic Time Series Generation in Python
  ☆376Updated last year
• Marcnuth / AnomalyDetection
  Twitter's Anomaly Detection in Pure Python
  ☆320Updated 2 years ago
• shunsukeaihara / changefinder
  ☆105Updated 2 years ago
• kristpapadopoulos / seriesnet
  Time series prediction using dilated causal convolutional neural nets (temporal CNN)
  ☆239Updated 3 years ago
• vc1492a / PyNomaly
  Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in t…
  ☆328Updated last month
• damitkwr / ESRNN-GPU
  PyTorch GPU implementation of the ES-RNN model for time series forecasting
  ☆319Updated 6 years ago
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• akash13singh / lstm_anomaly_thesis
  Anomaly detection for temporal data using LSTMs
  ☆225Updated 4 years ago
• opringle / multivariate_time_series_forecasting
  A place to implement state of the art deep learning methods for temporal modelling using python and MXNet.
  ☆64Updated 5 years ago
• predict-idlab / GENDIS
  Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all …
  ☆106Updated 2 years ago
• LukeTonin / keras-seq-2-seq-signal-prediction
  An implementation of a sequence to sequence neural network using an encoder-decoder
  ☆210Updated 6 years ago
• nphoff / saxpy
  Python implementation of Symbolic Aggregate approXimation
  ☆104Updated 7 years ago
• smirmik / CAD
  Contextual Anomaly Detector
  ☆79Updated 6 years ago
• danielgy / Paper-List-of-Time-Series-Forecasting-with-Deep-Learning
  ☆92Updated 7 years ago
• albertogaspar / dts
  A Keras library for multi-step time-series forecasting.
  ☆185Updated 2 years ago
• HamishWoodrow / anomaly_detection
  This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average wit…
  ☆63Updated 6 years ago