Alternatives and similar repositories for LinXGBoost

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

• GBDT-PL / GBDT-PL
  Gradient Boosting With Piece-Wise Linear Trees
  ☆154Updated last year
• closest-git / LiteMORT
  A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.
  ☆56Updated 5 years ago
• bsharchilev / influence_boosting
  Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
  ☆68Updated last year
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 9 years ago
• dclambert / pyensemble
  An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn
  ☆150Updated 4 years ago
• fukatani / stacked_generalization
  Library for machine learning stacking generalization.
  ☆119Updated 6 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆189Updated 6 years ago
• mxbi / ftim
  Feature-Time Instability Metric
  ☆44Updated 9 years ago
• flytxtds / AutoGBT
  AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-dr…
  ☆114Updated 6 years ago
• zygmuntz / gaussrank
  Preparing continuous features for neural networks with GaussRank
  ☆45Updated 7 years ago
• zygmuntz / adversarial-validation
  Creating a better validation set when test examples differ from training examples
  ☆102Updated 9 years ago
• arogozhnikov / infiniteboost
  InfiniteBoost: building infinite ensembles with gradient descent
  ☆183Updated 7 years ago
• lacava / few
  a feature engineering wrapper for sklearn
  ☆52Updated 5 years ago
• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated 2 years ago
• kiudee / cs-ranking
  Context-sensitive ranking and choice in Python with PyTorch
  ☆67Updated 2 years ago
• scikit-learn-contrib / polylearn
  A library for factorization machines and polynomial networks for classification and regression in Python.
  ☆245Updated 5 years ago
• kingfengji / mGBDT
  This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .
  ☆104Updated 7 years ago
• jeroenjanssens / scikit-sos
  A Python implementation of the Stochastic Outlier Selection algorithm
  ☆92Updated last year
• lancifollia / tinygbt
  A Tiny, Pure Python implementation of Gradient Boosted Trees.
  ☆255Updated 5 years ago
• hlin117 / mdlp-discretization
  An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad
  ☆104Updated 2 years ago
• genixpro / hypermax
  Better, faster hyper-parameter optimization
  ☆113Updated last year
• Azure / fast_retraining
  Show how to perform fast retraining with LightGBM in different business cases
  ☆54Updated 6 years ago
• tmadl / sklearn-random-rotation-ensembles
  Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)
  ☆43Updated 9 years ago
• huanzhang12 / lightgbm-gpu
  Development Repository for GPU-accelerated GBDT training
  ☆60Updated 8 years ago
• olivier-s-j / TomekLink
  Remove Tomek Links from your data.
  ☆30Updated 8 years ago
• mzaradzki / factorization-machine-for-prediction
  Factorization Machine for regression and classification
  ☆98Updated 8 years ago
• sato9hara / defragTrees
  Python code for tree ensemble interpretation
  ☆86Updated 4 years ago
• borjaayerdi / AdaHERF
  Adaptative Hybrid Extreme Rotation Forest (AdaHERF)
  ☆33Updated 9 years ago
• david-cortes / hpfrec
  Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.
  ☆79Updated 7 months ago
• automl / ParameterImportance
  Parameter Importance Analysis Tool
  ☆77Updated 4 years ago