Alternatives and similar repositories for neural-additive-models-pt:

Users that are interested in neural-additive-models-pt are comparing it to the libraries listed below

• AmrMKayid / nam
  Neural Additive Models (Google Research)
  ☆69Updated 3 years ago
• JonathanCrabbe / Simplex
  This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …
  ☆24Updated last year
• MLforHealth / ClinicalDG
  An Empirical Framework for Domain Generalization In Clinical Settings
  ☆29Updated 2 years ago
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆43Updated 2 years ago
• jsyoon0823 / INVASE
  Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR
  ☆60Updated 4 years ago
• lemeln / nam
  Neural Additive Models (Google Research)
  ☆26Updated 9 months ago
• LARS-research / TabGNN
  ☆48Updated 3 years ago
• chl8856 / SEFS
  Codebase for SEFS: Self-Supervision Enhanced Feature Selection with Correlated Gates
  ☆23Updated last year
• dylan-slack / Modeling-Uncertainty-Local-Explainability
  Local explanations with uncertainty 💐!
  ☆39Updated last year
• ioanabica / Counterfactual-Recurrent-Network
  Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…
  ☆58Updated 10 months ago
• tfmortie / uaml
  Uncertainty-aware classification.
  ☆16Updated 2 years ago
• chiragnagpal / deep_cox_mixtures
  Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
  ☆29Updated 2 years ago
• vanderschaarlab / MIRACLE
  ☆25Updated 9 months ago
• BingzhaoZhu / XTab
  ☆33Updated 2 years ago
• mlfoundations / tableshift
  A benchmark for distribution shift in tabular data
  ☆49Updated 7 months 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 4 years ago
• facebookresearch / nbm-spam
  Training and evaluating NBM and SPAM for interpretable machine learning.
  ☆77Updated last year
• runopti / stg
  Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
  ☆106Updated 2 years ago
• seedatnabeel / TE-CDE
  Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)
  ☆27Updated 2 years ago
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆66Updated 3 years ago
• ModelOriented / metaMIMIC
  ☆12Updated 2 years ago
• berenslab / contrastive-ne
  Contrastive neighbor embeddings
  ☆52Updated 9 months ago
• sciai-lab / cl-tsne-umap
  ☆33Updated last year
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆57Updated 3 years ago
• slachapelle / dcdi
  Repository for "Differentiable Causal Discovery from Interventional Data"
  ☆72Updated 2 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
• acmi-lab / PU_learning
  Code and results accompanying our paper titled Mixture Proportion Estimation and PU Learning: A Modern Approach at Neurips 2021 (Spotligh…
  ☆43Updated 10 months ago
• mmcdermott / comprehensive_MTL_EHR
  Source code for a comprehensive analysis of MTL over EHR timeseries data.
  ☆37Updated last year
• mostafaalishahi / eICU_Benchmark
  ☆36Updated 2 years ago
• zahraatashgahi / QuickSelection
  [Machine Learning Journal (ECML-PKDD 2022 journal track)] Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Tra…
  ☆17Updated last year