Results 1 to 20 of 58
Sort by:

  • XGBoost
  • Referenced in 125 articles [sw21035]
  • XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible ... learning algorithms under the Gradient Boosting framework. XGBoost provides a parallel tree boosting (also known...

  • xgboost
  • Referenced in 20 articles [sw15875]
  • package xgboost. Extreme Gradient Boosting, which is an efficient implementation of gradient boosting framework. This...

  • ATPboost
  • Referenced in 4 articles [sw28626]
  • this the fast state-of-the-art XGBoost gradient boosting algorithm. Learning in the binary...

  • EIX
  • Referenced in 2 articles [sw35206]
  • package EIX: Explain Interactions in ’XGBoost’. Structure mining from ’XGBoost’ and ’LightGBM’ models. Key functionalities...

  • FastBDT
  • Referenced in 2 articles [sw19837]
  • software frameworks like TMVA, scikit-learn and XGBoost. The concepts used to optimize the execution...

  • SoilGrids250m
  • Referenced in 2 articles [sw27798]
  • implemented in the R packages ranger, xgboost, nnet and caret. The results of 10–fold...

  • ART

  • Referenced in 2 articles [sw37566]
  • frameworks (TensorFlow, Keras, PyTorch, MXNet, scikit-learn, XGBoost, LightGBM, CatBoost, GPy, etc.), all data types...

  • KFServing
  • Referenced in 2 articles [sw37567]
  • common machine learning (ML) frameworks like TensorFlow, XGBoost, scikit-learn, PyTorch, and ONNX to solve...

  • iBLP
  • Referenced in 1 article [sw37438]
  • iBLP: an XGBoost-based predictor for identifying bioluminescent proteins. Bioluminescent proteins (BLPs) are a class ... BLPs based on eXtreme gradient boosting algorithm (XGBoost) and using sequence-derived features. To train...

  • rminer
  • Referenced in 1 article [sw16693]
  • functions. Versions: 1.4.2 new NMAE metric, ”xgboost” and ”cv.glmnet” models (16 classification and 18 regression...

  • TPOT-MDR
  • Referenced in 1 article [sw18807]
  • logistic regression and eXtreme Gradient Boosting (XGBoost). We further analyze the best pipeline discovered...

  • XGBFEMF
  • Referenced in 1 article [sw36891]
  • XGBFEMF: An XGBoost-Based Framework for Essential Protein Prediction. Essential proteins as a vital part...

  • XG-PseU
  • Referenced in 1 article [sw37447]
  • paper, we proposed an eXtreme Gradient Boosting (xgboost)-based method, called XG-PseU, to identify...

  • Katib
  • Referenced in 1 article [sw37565]
  • frameworks, such as TensorFlow, MXNet, PyTorch, XGBoost, and others. Paper: A Scalable and Cloud-Native...

  • AlphaPy
  • Referenced in 1 article [sw38192]
  • machine learning models using scikit-learn, Keras, xgboost, LightGBM, and CatBoost. Generate blended or stacked...

  • BoXHED
  • Referenced in 1 article [sw38237]
  • borrows from the core components of XGBoost. BoXHED 2.0 supports the use of GPUs...

  • PSPSO
  • Referenced in 1 article [sw39417]
  • Multi-Layer Perceptron (MLP), Extreme Gradient Boosting (XGBoost) and Gradient Boosting Decision Trees (GBDT). PSPSO...

  • Tribuo
  • Referenced in 1 article [sw40359]
  • many popular third-party ML libraries like xgboost and liblinear. With interfaces to native code...

  • pSuc-Lys
  • Referenced in 31 articles [sw16643]
  • pSuc-Lys: predict lysine succinylation sites in proteins...