Alternatives and similar repositories for TSUtilities

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

• StatMixedML / Hyper-Trees
  Forecasting with Hyper-Trees
  ☆18Updated 9 months ago
• tblume1992 / Seance
  Wrapper around MLForecast for more plug and play forecasting
  ☆10Updated last year
• Valdecy / pyInterDemand
  A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SES
  ☆38Updated last year
• alejandrofdez-us / similarity-ts-cli
  ☆31Updated 7 months ago
• Liam-E2 / RotationForest
  A python implementation of the Rotation Forest algorithm per https://arxiv.org/abs/1809.06705.
  ☆20Updated 5 years ago
• predict-idlab / cct-cmc
  Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner
  ☆16Updated 2 months ago
• marcopeix / intermittent_time_series
  ☆13Updated 2 years ago
• SaremS / sample_notebooks
  Loose collection of Jupyter notebooks, mostly for my blog
  ☆28Updated 8 months ago
• MartinWeigl / pycaleva
  A framework for calibration measurement of binary probabilistic models
  ☆28Updated last year
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 3 years ago
• mavillan / tsforest
  Time series forecasting with tree ensembles
  ☆13Updated 3 years ago
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆71Updated 11 months ago
• smazzanti / valicast
  Validation for forecasts
  ☆18Updated 2 years ago
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆64Updated 5 months ago
• takechanman1228 / Effective-Uplift-Modeling
  ☆22Updated last year
• tblume1992 / BetaBoost
  A small wrapper to do Beta Boosting with XgBoost
  ☆15Updated 3 years ago
• manujosephv / deeprenewalprocess
  GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]
  ☆31Updated 3 years ago
• StatMixedML / Py-BoostLSS
  An extension of Py-Boost to probabilistic modelling
  ☆24Updated 2 years ago
• OliverHennhoefer / nonconform
  Conformal Anomaly Detection
  ☆48Updated last week
• zedshape / zgrouping
  ☆24Updated 3 years ago
• grimmlab / ForeTiS
  Time Series Forecasting in Python
  ☆13Updated 6 months ago
• FlorinAndrei / misc
  a catch-all repo
  ☆11Updated last year
• bhulston / Time-Series-Prediction-with-LSTM-and-XGB
  Build an algorithm that can predict multiple future states of Limit Order Books using high-frequency, multi-variate, short time-frame dat…
  ☆14Updated last year
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆31Updated this week
• vacquaviva / IntroConformalPredictions
  A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…
  ☆12Updated last year
• vcerqueira / vest-python
  ☆28Updated 2 years ago
• IDA-HumanCapital / fife
  Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting
  ☆22Updated last year
• mad-stat / Epicasting
  Ensemble wavelet based neural network for generating epidemiological forecasting (epicasting)
  ☆14Updated last year
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆81Updated last month
• h3ik0th / Darts_TCN_RNN
  time series forecasting with TCN and RNN neural networks in Darts
  ☆13Updated 3 years ago