Alternatives and similar repositories for light-river

Users that are interested in light-river are comparing it to the libraries listed below

• carbonfact / icanexplain
  📊 Explain why metrics change by unpacking them
  ☆38Updated last month
• online-ml / beaver
  🦫 MLOps for (online) machine learning
  ☆86Updated last year
• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆90Updated 11 months ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆156Updated last year
• azmyrajab / polars_ols
  Polars least squares extension - enables fast linear model polar expressions
  ☆172Updated 11 months ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆276Updated this week
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆196Updated 2 years ago
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆55Updated 7 months ago
• raphaelsty / abayes
  Autoregressive Bayesian linear model
  ☆21Updated 4 years ago
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆31Updated last week
• noklam / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆51Updated last year
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆238Updated last week
• 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
• tblume1992 / MFLES
  ☆115Updated last year
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆81Updated last month
• Nixtla / utilsforecast
  Helper functions to plot, evaluate, preprocess and engineer features for forecasting
  ☆82Updated last week
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆71Updated last year
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆54Updated this week
• jmoralez / window_ops
  Fast window operations
  ☆44Updated last year
• FBruzzesi / timebasedcv
  Time based splits for cross validation
  ☆38Updated 3 weeks ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆210Updated last year
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆139Updated 4 months ago
• Nixtla / coreforecast
  Fast implementations of common forecasting routines
  ☆40Updated this week
• Quantco / glum
  High performance Python GLMs with all the features!
  ☆355Updated 3 weeks ago
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆114Updated 3 months ago
• rabia174 / ConformaSight
  Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.
  ☆26Updated 6 months ago
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆162Updated last year
• yubin-park / palobst
  PaloBoost is an overfitting-robust Gradient Boosting algorithm.
  ☆15Updated 5 years ago
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆102Updated 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.
  ☆214Updated 3 months ago