Alternatives and similar repositories for thundergbm

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

• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆707Updated 4 years ago
• dmlc / treelite
  Universal model exchange and serialization format for decision tree forests
  ☆798Updated last week
• Xtra-Computing / thundersvm
  ThunderSVM: A Fast SVM Library on GPUs and CPUs
  ☆1,616Updated last year
• motefly / DeepGBM
  SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks
  ☆660Updated last year
• 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
• GBDT-PL / GBDT-PL
  Gradient Boosting With Piece-Wise Linear Trees
  ☆154Updated last year
• yzhao062 / combo
  (AAAI' 20) A Python Toolbox for Machine Learning Model Combination
  ☆658Updated 2 years ago
• tobegit3hub / advisor
  Open-source implementation of Google Vizier for hyper parameters tuning
  ☆1,561Updated 6 years ago
• lancifollia / tinygbt
  A Tiny, Pure Python implementation of Gradient Boosted Trees.
  ☆255Updated 5 years ago
• DeepBlueAI / AutoSmart
  ☆248Updated 4 years ago
• Ibotta / sk-dist
  Distributed scikit-learn meta-estimators in PySpark
  ☆286Updated 7 months ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆597Updated 7 years ago
• abhayspawar / featexp
  Feature exploration for supervised learning
  ☆761Updated 4 years ago
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆332Updated last year
• dmmiller612 / sparktorch
  Train and run Pytorch models on Apache Spark.
  ☆341Updated 2 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated 2 years ago
• h2oai / pystacknet
  ☆296Updated 3 years ago
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆702Updated last month
• automl / HpBandSter
  a distributed Hyperband implementation on Steroids
  ☆625Updated 3 years ago
• kingfengji / gcForest
  This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
  ☆1,313Updated 4 years ago
• DataSystemsGroupUT / AutoML_Survey
  ☆207Updated 6 years ago
• NVIDIA-Merlin / NVTabular
  NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale da…
  ☆1,134Updated last month
• geffy / tffm
  TensorFlow implementation of an arbitrary order Factorization Machine
  ☆782Updated 3 years ago
• catboost / benchmarks
  Comparison tools
  ☆171Updated 3 months ago
• kaz-Anova / StackNet
  StackNet is a computational, scalable and analytical Meta modelling framework
  ☆1,330Updated 7 years ago
• openml / automlbenchmark
  OpenML AutoML Benchmarking Framework
  ☆445Updated this week
• andosa / treeinterpreter
  ☆762Updated 2 years ago
• scikit-learn-contrib / metric-learn
  Metric learning algorithms in Python
  ☆1,428Updated last year
• limexp / xgbfir
  XGBoost Feature Interactions Reshaped
  ☆432Updated 8 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