Alternatives and similar repositories for influence_boosting:

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

• udellgroup / oboe
  An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
  ☆82Updated 3 years ago
• erlendd / covariate-shift-adaption
  An example of using a discriminator to correct for a difference in the distributions between the training and test data.
  ☆67Updated 8 years ago
• rsheth80 / pmf-automl
  Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.
  ☆39Updated 3 years ago
• kingfengji / mGBDT
  This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .
  ☆103Updated 6 years ago
• ldv1 / LinXGBoost
  Extension of the awesome XGBoost to linear models at the leaves
  ☆78Updated 5 years ago
• zygmuntz / gaussrank
  Preparing continuous features for neural networks with GaussRank
  ☆45Updated 7 years ago
• DenisVorotyntsev / AutoSeries
  Public solution for AutoSeries competition
  ☆72Updated 5 years ago
• kingfengji / eForest
  This is the official implementation for the paper 'AutoEncoder by Forest'
  ☆75Updated 6 years ago
• GBDT-PL / GBDT-PL
  Gradient Boosting With Piece-Wise Linear Trees
  ☆152Updated last year
• fukatani / stacked_generalization
  Library for machine learning stacking generalization.
  ☆117Updated 5 years ago
• Jianbo-Lab / L2X
  ☆125Updated 3 years ago
• Jianbo-Lab / CCM
  ☆74Updated 6 years ago
• automl / HPOlib1.5
  ☆69Updated 4 years ago
• nel215 / mondrianforest
  An online random forest implementaion written in Python.
  ☆40Updated 8 years ago
• zygmuntz / classifier-calibration
  Reliability diagrams, Platt's scaling, isotonic regression
  ☆76Updated 10 years ago
• fabianp / group_lasso
  ☆39Updated 12 years ago
• kiudee / cs-ranking
  Context-sensitive ranking and choice in Python with PyTorch
  ☆66Updated 2 years ago
• sato9hara / defragTrees
  Python code for tree ensemble interpretation
  ☆83Updated 4 years ago
• navicto / Discretization-MDLPC
  Discretization with Fayyad and Irani's minimum description length principle criterion (MDLPC)
  ☆60Updated 6 years ago
• Oracen-zz / MIDAS
  Multiple imputation utilising denoising autoencoder for approximate Bayesian inference
  ☆121Updated 5 years ago
• benoitdescamps / Neural-Tree
  Tensorflow implementation of a Tree
  ☆36Updated 5 years ago
• chenhongge / RobustTrees
  [ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples
  ☆67Updated 2 years ago
• AntoinePassemiers / Encoder-Forest
  eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding
  ☆23Updated 4 years ago
• huanzhang12 / lightgbm-gpu
  Development Repository for GPU-accelerated GBDT training
  ☆60Updated 8 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
• automl / BOAH
  BOAH: Bayesian Optimization & Analysis of Hyperparameters
  ☆67Updated 4 years ago
• srome / pykliep
  A density ratio estimator package for python using the KLIEP algorithm.
  ☆107Updated 4 years ago
• Alex-Lekov / AutoML-Benchmark
  A Performance Benchmark of Different AutoML Frameworks
  ☆35Updated last year
• usaito / counterfactual-cv
  (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’
  ☆31Updated 2 years ago
• daxiongshu / rapids-ai-BBO-2nd-place-solution
  ☆71Updated 4 years ago