Alternatives and similar repositories for utilsforecast

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

• Nixtla / datasetsforecast
  Datasets for time series forecasting
  ☆98Updated this week
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆111Updated 2 months ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆233Updated 2 weeks ago
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆79Updated this week
• Nixtla / coreforecast
  Fast implementations of common forecasting routines
  ☆40Updated this week
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆30Updated this week
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆412Updated last year
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆31Updated last week
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆194Updated last year
• tblume1992 / MFLES
  ☆115Updated last year
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆69Updated 11 months ago
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆54Updated 2 weeks ago
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆161Updated last year
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆67Updated last month
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆116Updated 2 years ago
• xqnwang / conformalForecast
  Methods and tools for multistep-ahead time series conformal prediction.
  ☆38Updated 3 months ago
• rabia174 / ConformaSight
  Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.
  ☆26Updated 5 months ago
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆165Updated 10 months ago
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆110Updated 3 months ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆319Updated last year
• autogluon / fev
  Forecast evaluation library
  ☆85Updated last week
• sktime / skbase
  Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
  ☆26Updated 2 weeks ago
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆114Updated 2 months ago
• Mcompetitions / M6-methods
  Data, Benchmarks, and methods submitted to the M6 forecasting competition
  ☆114Updated 9 months ago
• NorskRegnesentral / skchange
  skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms
  ☆33Updated 3 weeks ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆155Updated last year
• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆89Updated 10 months ago
• Nixtla / transfer-learning-time-series
  Transfer 🤗 Learning for Time Series Forecasting
  ☆251Updated 7 months ago
• MartinWeigl / pycaleva
  A framework for calibration measurement of binary probabilistic models
  ☆28Updated last year
• noklam / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆50Updated last year