Alternatives and similar repositories for xgb2cpp:

Users that are interested in xgb2cpp are comparing it to the libraries listed below

• thomaskeck / FastBDT
  Stochastic Gradient Boosted Decision Trees as Standalone, TMVAPlugin and Python-Interface
  ☆246Updated 4 years ago
• lancifollia / tinygbt
  A Tiny, Pure Python implementation of Gradient Boosted Trees.
  ☆254Updated 4 years ago
• arogozhnikov / infiniteboost
  InfiniteBoost: building infinite ensembles with gradient descent
  ☆184Updated 6 years ago
• RGF-team / rgf
  Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…
  ☆381Updated 3 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆183Updated 6 years ago
• baidu / fast_rgf
  Multi-core implementation of Regularized Greedy Forest
  ☆464Updated 6 years ago
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆418Updated last year
• dmlc / treelite
  Universal model exchange and serialization format for decision tree forests
  ☆761Updated 3 weeks ago
• dask / dask-xgboost
  ☆162Updated 3 years ago
• fukatani / stacked_generalization
  Library for machine learning stacking generalization.
  ☆117Updated 5 years ago
• scikit-learn-contrib / polylearn
  A library for factorization machines and polynomial networks for classification and regression in Python.
  ☆245Updated 4 years ago
• mblondel / svmlight-loader
  Fast and memory-efficient svmlight / libsvm file loader for Python.
  ☆116Updated 5 years ago
• fmfn / FTRLp
  Pure Python implementation of the Follow The Regularized Leader - Proximal algorithm
  ☆150Updated 5 years ago
• elucideye / xgboostcpp
  Simple C++ interface for xgboost with cross platform and size reduced serialization
  ☆33Updated 7 years ago
• galeone / dynamic-training-bench
  Simplify the training and tuning of Tensorflow models
  ☆214Updated 3 years ago
• Far0n / xgbfi
  XGBoost Feature Interactions & Importance
  ☆499Updated 7 years ago
• GBDT-PL / GBDT-PL
  Gradient Boosting With Piece-Wise Linear Trees
  ☆152Updated 11 months ago
• kopopt / fast_tffm
  fast_tffm: Tensorflow-based Distributed Factorization Machine
  ☆143Updated 8 years ago
• RTBHOUSE / cuda-ffm
  Field-aware Factorization Machines on CUDA
  ☆30Updated 8 years ago
• ajtulloch / sklearn-compiledtrees
  Compiled Decision Trees for scikit-learn
  ☆224Updated 10 months ago
• ldv1 / LinXGBoost
  Extension of the awesome XGBoost to linear models at the leaves
  ☆78Updated 5 years ago
• dmlc / difacto
  Distributed Factorization Machines
  ☆297Updated 9 years ago
• Xtra-Computing / thundergbm
  ThunderGBM: Fast GBDTs and Random Forests on GPUs
  ☆696Updated 3 weeks ago
• MLWave / hodor-autoML
  Hodor AutoML: Brute-Bandit fast good-enough solutions to a wide range of machine learning problems.
  ☆83Updated 9 years ago
• guitargeek / XGBoost-FastForest
  Minimal library code to deploy XGBoost models in C++.
  ☆94Updated last year
• ArdalanM / pyLightGBM
  Python binding for Microsoft LightGBM
  ☆342Updated 5 years ago
• RAMitchell / GBM-Benchmarks
  ☆23Updated 4 years ago
• sh1ng / arboretum
  Gradient Boosting powered by GPU(NVIDIA CUDA)
  ☆64Updated 5 years ago
• JianGoForIt / YellowFin
  auto-tuning momentum SGD optimizer
  ☆422Updated 7 years ago
• formath / tensorflow-predictor-cpp
  tensorflow prediction using c++ api
  ☆149Updated 5 years ago