Alternatives and similar repositories for kaggle-m5

Users that are interested in kaggle-m5 are comparing it to the libraries listed below

• marisakamozz / m5
  Kaggle M5 Forecasting - Uncertainty 4th Place Solution
  ☆33Updated 2 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆225Updated 2 years ago
• NITRO-AI / NitroFE
  NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …
  ☆107Updated 3 years ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆156Updated last year
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆118Updated 2 years ago
• microprediction / timeseries-notebooks
  Hello world univariate examples for a variety of time series packages.
  ☆56Updated 11 months ago
• ing-bank / skorecard
  scikit-learn compatible tools for building credit risk acceptance models
  ☆103Updated 6 months ago
• octoenergy / timeserio
  Better `keras` models for time series and beyond
  ☆61Updated last year
• DenisVorotyntsev / AutoSeries
  Public solution for AutoSeries competition
  ☆72Updated 5 years ago
• IoannisNasios / M5_Uncertainty_3rd_place
  M5 Uncertainty kaggle competition, 3rd place solution
  ☆39Updated last year
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• mgrankin / fast_tabnet
  TabNet for fastai
  ☆124Updated 4 months ago
• jaswinder9051998 / zoofs
  zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range fr…
  ☆248Updated 2 months ago
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆64Updated 6 months ago
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆151Updated 4 months ago
• SylwiaOliwia2 / xgboost-AutoTune
  Wrap-up to automatically tune xgboost in Python.
  ☆80Updated 4 years ago
• matthiasanderer / m5-accuracy-competition
  My second place solution in the M5 Accuracy competition
  ☆73Updated 4 years ago
• bits-bytes-nn / gauss-rank-scaler
  Scikit-learn compatible implementation of the Gauss Rank scaling method
  ☆73Updated last year
• Y-oHr-N / OptGBM
  Optuna + LightGBM = OptGBM
  ☆35Updated 3 years ago
• pyro-ppl / Pyro-M5-Starter-Kit
  Learn Pyro through the M5 forecasting competition
  ☆86Updated 5 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆147Updated last year
• mavillan / tsforest
  Time series forecasting with tree ensembles
  ☆13Updated 4 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 3 years ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆67Updated 2 years ago
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆27Updated 2 years ago
• Trigram19 / m5-python-starter
  Python framework for a good neural network for the Makidrakis 5 (M5) competition hosted on Kaggle.
  ☆22Updated 5 years ago
• tblume1992 / LazyProphet
  Time Series Forecasting with LightGBM
  ☆85Updated 2 years ago
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆200Updated last year