Alternatives and similar repositories for pmf-automl

Users that are interested in pmf-automl are comparing it to the libraries listed below

• bsharchilev / influence_boosting
  Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
  ☆68Updated last year
• udellgroup / oboe
  An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
  ☆84Updated 4 years ago
• usaito / counterfactual-cv
  (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’
  ☆31Updated 2 years ago
• Jianbo-Lab / L2X
  ☆124Updated 4 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 5 years ago
• markm541374 / gpbo
  gpbo
  ☆25Updated 4 years ago
• slds-lmu / iml_methods_limitations
  Seminar on Limitations of Interpretable Machine Learning Methods
  ☆57Updated 5 years ago
• jsyoon0823 / INVASE
  Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR
  ☆64Updated 5 years ago
• neurodata / SPORF
  This is the implementation of Sparse Projection Oblique Randomer Forest
  ☆101Updated last year
• wOOL / DNDT
  Deep Neural Decision Trees
  ☆163Updated 3 years ago
• jrzaurin / infinitoml
  ☆12Updated 2 years ago
• PorkShoulderHolder / python-libmf
  Python bindings to the libmf c++ repo for Matrix Factorization. libmf is fast, highly parallel, and can support factoring large matrices…
  ☆27Updated last year
• vveitch / causal-network-embeddings
  Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"
  ☆57Updated 2 years ago
• gpleiss / equalized_odds_and_calibration
  Code and data for the experiments in "On Fairness and Calibration"
  ☆51Updated 3 years ago
• d909b / cxplain
  Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
  ☆132Updated 5 years ago
• blei-lab / deconfounder_tutorial
  ☆87Updated 5 years ago
• sfme / RVAE_MixedTypes
  Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)
  ☆50Updated 5 years ago
• mtsang / interaction_interpretability
  Feature Interaction Interpretability via Interaction Detection
  ☆35Updated 2 years ago
• automl / HPOlib1.5
  ☆69Updated 5 years ago
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆88Updated 3 years ago
• JonathanWenger / pycalib
  Non-Parametric Calibration for Classification (AISTATS 2020)
  ☆19Updated 3 years ago
• rjagerman / wsdm2019-nonstationary
  Non-stationary Off-policy Evaluation
  ☆13Updated 6 years ago
• david-cortes / hpfrec
  Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.
  ☆79Updated 5 months ago
• sjblim / rmsn_nips_2018
  ☆40Updated 6 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
• tonyduan / hte-prediction-rcts
  Predicting treatment effects from RCTs (Circulation: CQO 2019).
  ☆10Updated 3 years ago
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated 2 years ago
• Oracen-zz / MIDAS
  Multiple imputation utilising denoising autoencoder for approximate Bayesian inference
  ☆122Updated 5 years ago
• diviyank / SAM
  Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
  ☆54Updated 4 years ago
• fabianp / group_lasso
  ☆39Updated 13 years ago