borjaayerdi / AdaHERF

Related projects: ⓘ

• mblondel / ivalice
  Boosting and ensemble learning in Python.
  ☆54Updated 9 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆47Updated 8 years ago
• MLWave / RGF-sklearn
  Scikit-learn API toy wrapper for Regularized Greedy Forests
  ☆44Updated 8 years ago
• tmadl / sklearn-random-rotation-ensembles
  Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)
  ☆43Updated 8 years ago
• abhishekkrthakur / automl_gpu
  ☆26Updated 8 years ago
• jmwoloso / avalearn
  a supplemental library for machine learning that incorporates various conveniences and functionalities either missing or not presently co…
  ☆9Updated 6 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆27Updated 8 years ago
• EvoML / EvoML
  Using Genetic Algorithms to aid Machine Learning
  ☆18Updated 6 years ago
• zygmuntz / dimensionality-reduction-for-sparse-binary-data
  convert a lot of zeros and ones to fewer real numbers
  ☆23Updated 10 years ago
• mpearmain / homesite
  Homesite Kaggle
  ☆30Updated 8 years ago
• patvarilly / CoverTree
  Python implementation of cover trees, near-drop-in replacement for scipy.spatial.kdtree
  ☆31Updated 12 years ago
• diefimov / otto_2015
  ☆29Updated 8 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 5 years ago
• mikeskim / dboost
  Stochastic Dummy Boosting
  ☆24Updated 8 years ago
• dclambert / pyensemble
  An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn
  ☆150Updated 3 years ago
• zygmuntz / kaggle-burn-cpu
  Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.
  ☆33Updated 10 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 5 years ago
• jeroenjanssens / scikit-sos
  A Python implementation of the Stochastic Outlier Selection algorithm
  ☆91Updated 4 months ago
• jnothman / searchgrid
  Helpers for constructing scikit-learn grid search
  ☆37Updated 4 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• caioaao / wolpert
  A stacked generalization framework. Built on top of scikit learn
  ☆56Updated last year
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆35Updated 7 years ago
• arjoly / random-output-trees
  Randomized output tree for multilabel / multi-output regression tasks
  ☆23Updated 8 years ago
• abhishekkrthakur / walmart2015
  ☆26Updated 8 years ago
• JonathanRaiman / rsm
  Topic analysis using RSM or PVDM.
  ☆11Updated 9 years ago
• cgnorthcutt / rankpruning
  🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
  ☆82Updated 2 years ago
• Strateus / dionis
  Dionis predictors blender
  ☆10Updated 8 years ago
• tmadl / sklearn-interpretable-tree
  Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
  ☆46Updated 3 years ago
• dustinstansbury / stacked_generalization
  Python implementation of stacked generalization classifier. Plays nice with sklearn.
  ☆71Updated 8 years ago
• Laurae2 / CategoricalAnalysis
  Analysis of Categorical Encodings for dense Decision Trees
  ☆41Updated 7 years ago