Alternatives and similar repositories for simple-segment

Users that are interested in simple-segment are comparing it to the libraries listed below

• jrmontag / STLDecompose
  A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.
  ☆187Updated 6 years ago
• welch / seasonal
  Robustly estimate trend and periodicity in a timeseries.
  ☆378Updated 7 years ago
• dmbee / seglearn
  Python module for machine learning time series:
  ☆580Updated 3 years ago
• ruipgil / changepy
  Time series changepoint detection
  ☆104Updated 2 years ago
• hildensia / bayesian_changepoint_detection
  Methods to get the probability of a changepoint in a time series.
  ☆750Updated 3 months 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 6 years ago
• wwrechard / pydlm
  A python library for Bayesian time series modeling
  ☆486Updated 2 months ago
• seninp / saxpy
  Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python
  ☆217Updated 5 months ago
• markdregan / K-Nearest-Neighbors-with-Dynamic-Time-Warping
  Python implementation of KNN and DTW classification algorithm
  ☆789Updated 7 years ago
• alexminnaar / time-series-classification-and-clustering
  Time series classification and clustering code written in Python.
  ☆801Updated 5 years ago
• FrancisArgnR / Time-series---deep-learning---state-of-the-art
  Scientific time series and deep learning state of the art
  ☆281Updated 5 years ago
• NLeSC / mcfly
  A deep learning tool for time series classification and regression
  ☆368Updated 5 months ago
• strawlab / pyopy
  Python bindings to interesting matlab libraries for data analysis
  ☆87Updated 9 years ago
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆116Updated 8 years ago
• patrickzib / SFA
  Scalable Time Series Data Analytics
  ☆320Updated 9 months ago
• aj-cloete / pssa
  Singular Spectrum Analysis for time series forecasting in Python
  ☆148Updated last month
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆244Updated 5 years ago
• mbinkowski / nntimeseries
  ☆209Updated 7 years ago
• nphoff / saxpy
  Python implementation of Symbolic Aggregate approXimation
  ☆103Updated 7 years ago
• TimeSynth / TimeSynth
  A Multipurpose Library for Synthetic Time Series Generation in Python
  ☆382Updated 2 years ago
• vc1492a / PyNomaly
  Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in t…
  ☆329Updated this week
• kristpapadopoulos / seriesnet
  Time series prediction using dilated causal convolutional neural nets (temporal CNN)
  ☆239Updated 3 years ago
• scikit-learn-contrib / py-earth
  A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
  ☆469Updated 2 years ago
• davidhallac / TICC
  ☆467Updated 5 years ago
• andreas-h / pyloess
  loess smoother / stl seasonal trend decomposition, originally from scipy.sandbox.pyloess
  ☆56Updated 8 years ago
• WenjieZ / TSCV
  Time Series Cross-Validation -- an extension for scikit-learn
  ☆258Updated 3 years ago
• shellshock1911 / Sky-Cast-Capstone
  Sky Cast: A Comparison of Modern Techniques for Forecasting Time Series
  ☆68Updated 8 years ago
• dtolpin / bocd
  Bayesian Online Changepoint Detection
  ☆64Updated 7 years ago
• shunsukeaihara / changefinder
  ☆106Updated 2 years ago
• cauchyturing / UCR_Time_Series_Classification_Deep_Learning_Baseline
  Fully Convlutional Neural Networks for state-of-the-art time series classification
  ☆715Updated 6 years ago