Alternatives and similar repositories for coreforecast

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

• Nixtla / utilsforecast
  Helper functions to plot, evaluate, preprocess and engineer features for forecasting
  ☆76Updated 3 weeks ago
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆69Updated 11 months ago
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆31Updated last week
• tblume1992 / MFLES
  ☆115Updated last year
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆79Updated this week
• rabia174 / ConformaSight
  Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.
  ☆26Updated 5 months ago
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆114Updated 2 months ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆67Updated last month
• tblume1992 / ConformalImpact
  Causal Impact but with MFLES and conformal prediction intervals
  ☆33Updated 6 months ago
• donlapark / coverforest
  A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
  ☆44Updated 2 months ago
• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆60Updated 3 months ago
• MarcoGorelli / wound-ignite
  Prize-winning solution to the M6 Forecasting Competition
  ☆23Updated 2 years ago
• StatMixedML / Py-BoostLSS
  An extension of Py-Boost to probabilistic modelling
  ☆23Updated 2 years ago
• amazon-science / causal-forecasting
  ☆14Updated last year
• yubin-park / palobst
  PaloBoost is an overfitting-robust Gradient Boosting algorithm.
  ☆15Updated 5 years ago
• Nixtla / datasetsforecast
  Datasets for time series forecasting
  ☆98Updated this week
• xqnwang / conformalForecast
  Methods and tools for multistep-ahead time series conformal prediction.
  ☆38Updated 3 months ago
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆54Updated 2 weeks ago
• sktime / skbase
  Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
  ☆26Updated 2 weeks ago
• yubin-park / califorest
  Calibrated Random Forests
  ☆40Updated 5 years ago
• FBruzzesi / sklearn-smithy
  Toolkit to forge scikit-learn compatible estimators
  ☆19Updated last week
• ran-xie / boosted-conformal
  ☆39Updated 6 months ago
• sktime / sktime-tutorial-pydata-global-2022
  sktime - python toolbox for time series: pipelines and transformers
  ☆24Updated 2 years ago
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆30Updated last week
• elephaint / hfas
  Hierarchical Forecasting at Scale
  ☆13Updated last year
• raz1470 / causal_ai
  This project introduces Causal AI and how it can drive business value.
  ☆48Updated 10 months ago
• ml-toolkits / mlflavors
  A collection of MLflow custom flavors
  ☆15Updated last year
• tblume1992 / Seance
  Wrapper around MLForecast for more plug and play forecasting
  ☆10Updated last year
• autogluon / fev
  Forecast evaluation library
  ☆85Updated last week
• se-jaeger / conformal-data-cleaning
  Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…
  ☆22Updated last year