AndriyMulyar / sklearn-oblique-tree

Related projects: ⓘ

• jjfeng / spinn
  Sparse-input neural networks
  ☆22Updated last year
• hengzhe-zhang / scikit-obliquetree
  Oblique Decision Tree in Python
  ☆16Updated 2 years ago
• markm541374 / gpbo
  gpbo
  ☆25Updated 3 years ago
• KDercksen / pyblique
  Oblique Decision Tree implementation in Python
  ☆9Updated 10 years ago
• xiyanghu / OSDT
  Optimal Sparse Decision Trees
  ☆98Updated last year
• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆25Updated 3 years ago
• Jimmy-Lin / GeneralizedOptimalSparseDecisionTrees
  Generalized Optimal Sparse Decision Trees
  ☆61Updated 6 months ago
• rsheth80 / pmf-automl
  Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.
  ☆40Updated 2 years ago
• FastGA / fast-genetic-algorithms
  ☆20Updated 7 years ago
• ustunb / ctfdist
  repair classifiers with disparate impact
  ☆10Updated 5 years ago
• jayanthkoushik / torch-gel
  Group elastic net implementation in PyTorch.
  ☆43Updated 3 years ago
• bsharchilev / influence_boosting
  Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
  ☆67Updated 3 months ago
• diviyank / SAM
  Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
  ☆53Updated 3 years ago
• aia-uclouvain / pydl8.5
  An algorithm for learning optimal decision trees, with Python interface
  ☆60Updated last year
• neurodata / SPORF
  This is the implementation of Sparse Projection Oblique Randomer Forest
  ☆97Updated 4 months ago
• AlCorreia / GeFs
  Generative Forests in Python
  ☆32Updated last year
• fabianp / group_lasso
  ☆39Updated 11 years ago
• citiususc / stac
  Statistical Tests for Algorithms Comparison (STAC) is a new platform for statistical analysis to verify the results obtained from computa…
  ☆32Updated 4 years ago
• udellgroup / oboe
  An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
  ☆82Updated 2 years ago
• GDPlumb / MAPLE
  Supervised Local Modeling for Interpretability
  ☆27Updated 5 years ago
• kingfengji / eForest
  This is the official implementation for the paper 'AutoEncoder by Forest'
  ☆74Updated 6 years ago
• riken-aip / pyHSICLasso
  Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data
  ☆171Updated 2 years ago
• Jianbo-Lab / L2X
  ☆123Updated 3 years ago
• nogueirs / JMLR2018
  The code of the experiments of the submitted paper "On the stability of Feature Selection" in Matlab, R and Python.
  ☆17Updated 6 years ago
• lpfgarcia / ECoL
  Extended Complexity Library in R
  ☆57Updated 3 years ago
• cangermueller / ppca
  Probabilistic Principal Component Analysis
  ☆59Updated 7 years ago
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆86Updated last year
• Jianbo-Lab / CCM
  ☆74Updated 5 years ago
• nel215 / mondrianforest
  An online random forest implementaion written in Python.
  ☆40Updated 8 years ago
• AntoinePassemiers / Encoder-Forest
  eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding
  ☆22Updated 4 years ago