Alternatives and similar repositories for window_ops

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

• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆81Updated last month
• noklam / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆51Updated last year
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆112Updated 3 months ago
• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆90Updated 11 months ago
• tblume1992 / MFLES
  ☆115Updated last year
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆71Updated last year
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆31Updated last week
• MartinWeigl / pycaleva
  A framework for calibration measurement of binary probabilistic models
  ☆28Updated last year
• FBruzzesi / timebasedcv
  Time based splits for cross validation
  ☆38Updated 3 weeks ago
• microprediction / m6
  M6-Forecasting competition
  ☆43Updated last year
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆236Updated last week
• drumtorben / polars-ts
  Polars Time Series Extension
  ☆29Updated 6 months ago
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆27Updated 2 years ago
• Nixtla / utilsforecast
  Helper functions to plot, evaluate, preprocess and engineer features for forecasting
  ☆82Updated this week
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆162Updated last year
• 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
• jefferythewind / warpgbm
  WarpGBM: High-Speed Gradient Boosting
  ☆86Updated last month
• rabia174 / ConformaSight
  Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.
  ☆26Updated 6 months ago
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆196Updated 2 years ago
• FBruzzesi / sklearn-smithy
  Toolkit to forge scikit-learn compatible estimators
  ☆19Updated 3 weeks ago
• dream-faster / fold
  🪁 A fast Adaptive Machine Learning library for Time-Series, that lets you build, deploy and update composite models easily. An order of …
  ☆101Updated last year
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆169Updated last month
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆31Updated this week
• OVVO-Financial / NNS
  Nonlinear Nonparametric Statistics
  ☆85Updated last week
• sktime / skbase
  Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
  ☆27Updated last week
• azmyrajab / polars_ols
  Polars least squares extension - enables fast linear model polar expressions
  ☆172Updated 11 months ago
• koaning / scikit-playtime
  Rethinking machine learning pipelines
  ☆32Updated 9 months ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆69Updated this week
• microprediction / m6entry
  ☆20Updated 2 years ago
• getml / getml-community
  Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.
  ☆213Updated 3 months ago