Alternatives and similar repositories for GAMs:

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

• andruekonst / egbm-gam
  A straightforward implementation of EGBM-based Generalized Additive Model
  ☆13Updated 4 years ago
• 12wang3 / mllp
  The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".
  ☆22Updated 10 months ago
• jjbrophy47 / tree_influence
  Influence Estimation for Gradient-Boosted Decision Trees
  ☆26Updated 7 months ago
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆43Updated 2 years ago
• a-lucic / focus
  ☆16Updated 2 years ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆69Updated 2 months ago
• udellgroup / controlburn
  ☆18Updated last year
• YoungseogChung / calibrated-quantile-uq
  Training quantile models
  ☆42Updated last month
• seedatnabeel / SSCP
  SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)
  ☆17Updated last year
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆66Updated 3 years ago
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆40Updated 2 years ago
• yandex-research / GBDT-uncertainty
  ☆53Updated 8 months ago
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆57Updated 3 years ago
• soroushzargar / DAPS
  Implementations of methods proposed in the paper "Conformal Prediction Sets for Graph Neural Networks"
  ☆13Updated last year
• msesia / chr
  Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems
  ☆21Updated 2 years ago
• Thartvigsen / StopAndHop
  Code for Stop&Hop, a method for learning to classify irregularly-sampled time series early
  ☆17Updated 3 months ago
• salimamoukou / ACPI
  Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…
  ☆27Updated last year
• yzhao062 / UOMS
  Resources and environment for unsupervised outlier model selection (UOMS)
  ☆23Updated 2 years ago
• divyat09 / cf-feasibility
  Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"
  ☆30Updated last year
• tfmortie / uaml
  Uncertainty-aware classification.
  ☆15Updated 2 years ago
• SeyoungKimLab / DMGP
  Official Implementation of "Doubly Mixed-Effects Gaussian Process Regression" (Jun Ho Yoon, Daniel P. Jeong, Seyoung Kim) (AISTATS 2022, …
  ☆12Updated 2 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆27Updated 4 years ago
• ahmedmalaa / discriminative-jackknife
  Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.
  ☆8Updated 4 years ago
• ludovikcoba / recoxplainer
  ☆26Updated 3 years ago
• ykwon0407 / fast_dist_shapley
  Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)
  ☆21Updated last year
• vanderschaarlab / MIRACLE
  ☆25Updated 8 months ago
• JeanKaddour / SIN
  Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)
  ☆42Updated 2 years ago
• RifleZhang / CORD_CPD
  Correlation-aware Change-point Detection via Graph Neural Networks
  ☆16Updated 4 years ago
• vistalab-technion / vqr
  Vector Quantile Regression
  ☆19Updated last year
• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆24Updated 2 years ago