Alternatives and similar repositories for change-detection-tutorial

Users that are interested in change-detection-tutorial are comparing it to the libraries listed below

• welch / seasonal
  Robustly estimate trend and periodicity in a timeseries.
  ☆376Updated 7 years ago
• NLeSC / mcfly
  A deep learning tool for time series classification and regression
  ☆366Updated last month
• strawlab / pyopy
  Python bindings to interesting matlab libraries for data analysis
  ☆86Updated 9 years ago
• ruipgil / changepy
  Time series changepoint detection
  ☆104Updated last year
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆288Updated last year
• cesium-ml / cesium
  Machine Learning Time-Series Platform
  ☆683Updated 8 months ago
• isadoranun / FATS
  ☆75Updated last year
• scikit-learn-contrib / py-earth
  A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
  ☆464Updated 2 years ago
• allentran / pca-magic
  PCA that iteratively replaces missing data
  ☆223Updated last year
• nlittlepoole / thermometr
  Open Source Anomaly Detection in Python
  ☆40Updated 9 years ago
• CamDavidsonPilon / Python-Numerics
  Numerical machines in Python
  ☆94Updated 11 years ago
• jrmontag / STLDecompose
  A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.
  ☆187Updated 6 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
• DataDog / piecewise
  ## Auto-archived due to inactivity. ## Functions for piecewise regression on time series data
  ☆106Updated 6 years ago
• hildensia / bayesian_changepoint_detection
  Methods to get the probability of a changepoint in a time series.
  ☆730Updated 2 years ago
• FrancisArgnR / Time-series---deep-learning---state-of-the-art
  Scientific time series and deep learning state of the art
  ☆282Updated 5 years ago
• jonsedar / pymc3_vs_pystan
  Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…
  ☆127Updated 9 years ago
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆423Updated last year
• rouseguy / TimeSeriesAnalysiswithPython
  Time Series Analysis with Python
  ☆347Updated 9 years ago
• mikemull / Notebooks
  Ipython notebooks on various topics
  ☆67Updated 7 years ago
• twiecki / WhileMyMCMCGentlySamples
  my blog
  ☆268Updated 3 years ago
• parsing-science / pymc3_models
  ☆159Updated 3 years ago
• ibab / python-mle
  A Python package for performing Maximum Likelihood Estimates
  ☆128Updated 5 years ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆290Updated 5 months ago
• parsing-science / pymc3_quickstart_guide
  ☆80Updated 9 years ago
• wwrechard / pydlm
  A python library for Bayesian time series modeling
  ☆483Updated last year
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆117Updated 7 years ago
• codyrioux / pydata2015seattle
  Tutorial materials for PyData 2015 Seattle.
  ☆33Updated 10 years ago
• mmckerns / tutmom
  Tutorial on "Modern Optimization Methods in Python"
  ☆250Updated 7 months ago
• rhiever / sklearn-benchmarks
  A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.
  ☆213Updated 7 years ago