digital-idiot / RotationForest

Related projects ⓘ

Alternatives and complementary repositories for RotationForest

• Liam-E2 / RotationForest
  A python implementation of the Rotation Forest algorithm per https://arxiv.org/abs/1809.06705.
  ☆20Updated 4 years ago
• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated last year
• partofthething / ace
  Python package for performing the Alternating Conditional Expectation (ACE) regression
  ☆68Updated last year
• paulbrodersen / entropy_based_binning
  Entropy based binning of discrete variables.
  ☆34Updated 4 years ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆68Updated last year
• alan-turing-institute / bocpdms
  ☆32Updated 6 years ago
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆61Updated last month
• guillermo-navas-palencia / clogistic
  Logistic regression with bound and linear constraints. L1, L2 and Elastic-Net regularization.
  ☆33Updated last year
• UBS-IB / bayesian_tree
  ☆49Updated 4 years ago
• arnedb / tsfuse
  Python package for automatically constructing features from multiple time series
  ☆39Updated 2 months ago
• polsys / ennemi
  Easy Nearest Neighbor Estimation of Mutual Information
  ☆35Updated last week
• jehangiramjad / tslib
  Time Series Forecasting and Imputation
  ☆48Updated 2 years ago
• ostamand / tensorflow-tabnet
  Improved TabNet for TensorFlow
  ☆51Updated 2 years ago
• fpetitjean / ProximityForest
  Scalable and accurate classifier for time series
  ☆29Updated 5 years ago
• sktime / pysf
  Supervised forecasting of sequential data in Python.
  ☆55Updated 5 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆141Updated last year
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆36Updated 3 years ago
• Ennosigaeon / automl_benchmark
  A benchmark to evaluate popular CASH and AutoML frameworks
  ☆15Updated 7 months ago
• godatadriven / piven
  Prediction Intervals with specific value prediction
  ☆18Updated 3 years ago
• 0zean / MARS-Time-Series
  Multivariate Adaptive Regression Splines for Time Series Prediction
  ☆18Updated last year
• closest-git / LiteMORT
  A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.
  ☆56Updated 4 years ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• donlnz / morfist
  Multi-target Random Forest implementation that can mix both classification and regression tasks
  ☆24Updated 4 years ago
• StevenGolovkine / FDApy
  Python Package for Functional Data Analysis
  ☆43Updated 3 weeks ago
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 2 years ago
• SantiagoEG / FCBF_module
  Fast Correlation-Based Feature Selection
  ☆29Updated 7 years ago
• ig248 / deepquantiles
  Deep Continuous Quantile Regression and other experiments.
  ☆12Updated 4 years ago
• kxytechnologies / kxy-python
  A toolkit to boost the productivity of machine learning engineers.
  ☆52Updated 2 years ago
• aldente0630 / gauss-rank-scaler
  Scikit-learn compatible implementation of the Gauss Rank scaling method
  ☆73Updated last year
• EvgeniDubov / hellinger-distance-criterion
  Random Forest model using Hellinger Distance as split criterion
  ☆33Updated last year