Alternatives and similar repositories for benchmarks

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

• RGF-team / rgf
  Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…
  ☆382Updated 3 years ago
• zygmuntz / adversarial-validation
  Creating a better validation set when test examples differ from training examples
  ☆101Updated 9 years ago
• sh1ng / arboretum
  Gradient Boosting powered by GPU(NVIDIA CUDA)
  ☆65Updated 5 years ago
• alexeygrigorev / libftrl-python
  FTRL-Proximal with python bindings
  ☆123Updated 7 years ago
• limexp / xgbfir
  XGBoost Feature Interactions Reshaped
  ☆432Updated 7 years ago
• rushter / heamy
  A set of useful tools for competitive data science.
  ☆553Updated 2 years ago
• fukatani / stacked_generalization
  Library for machine learning stacking generalization.
  ☆117Updated 6 years ago
• bsharchilev / influence_boosting
  Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
  ☆68Updated last year
• GBDT-PL / GBDT-PL
  Gradient Boosting With Piece-Wise Linear Trees
  ☆154Updated last year
• rambler-digital-solutions / criteo-1tb-benchmark
  Benchmark of different ML algorithms on Criteo 1TB dataset
  ☆151Updated 8 years ago
• chasedehan / BoostARoota
  A fast xgboost feature selection algorithm
  ☆224Updated 4 years ago
• Danila89 / kaggle_mercedes
  The 11th place solution of Mercedes-Benz Greener Manufacturing competition on Kaggle
  ☆54Updated 7 years ago
• alno / kaggle-allstate-claims-severity
  2nd place solution for Allstate Claims Severity competition at Kaggle
  ☆131Updated 8 years ago
• DenisVorotyntsev / CategoricalEncodingBenchmark
  Benchmarking different approaches for categorical encoding for tabular data
  ☆173Updated 3 years ago
• lancifollia / tinygbt
  A Tiny, Pure Python implementation of Gradient Boosted Trees.
  ☆255Updated 5 years ago
• h2oai / pystacknet
  ☆294Updated 3 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆187Updated 6 years ago
• arogozhnikov / infiniteboost
  InfiniteBoost: building infinite ensembles with gradient descent
  ☆183Updated 7 years ago
• bamine / Kaggle-stuff
  Just some of my kaggle scripts
  ☆87Updated 10 years ago
• scikit-learn-contrib / polylearn
  A library for factorization machines and polynomial networks for classification and regression in Python.
  ☆246Updated 5 years ago
• dustinstansbury / stacked_generalization
  Python implementation of stacked generalization classifier. Plays nice with sklearn.
  ☆71Updated 9 years ago
• hlin117 / mdlp-discretization
  An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad
  ☆104Updated 2 years ago
• alexeygrigorev / libffm-python
  A Python wrapper for LibFFM
  ☆120Updated 6 years ago
• mxbi / mlcrate
  A python module of handy tools and functions, mainly for ML and Kaggle
  ☆335Updated 4 years ago
• jmcarpenter2 / parfit
  A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
  ☆199Updated last year
• evfro / polara
  Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy …
  ☆254Updated last month
• ldv1 / LinXGBoost
  Extension of the awesome XGBoost to linear models at the leaves
  ☆82Updated 6 years ago
• kaz-Anova / py_ml_utils
  Some small utility modules to help with pandas, numpy and sklearn usage in other projects
  ☆22Updated 10 years ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated 2 years ago
• Far0n / xgbfi
  XGBoost Feature Interactions & Importance
  ☆501Updated 7 years ago