Alternatives and similar repositories for uaml

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

• akashmondal1810 / UncertaintyEstimation
  Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods
  ☆22Updated 4 years ago
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆104Updated 2 years ago
• yandex-research / GBDT-uncertainty
  ☆58Updated last year
• jjbrophy47 / tree_influence
  Influence Estimation for Gradient-Boosted Decision Trees
  ☆30Updated last year
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆46Updated 3 years ago
• a-norcliffe / Composite-Feature-Selection
  Official Code for the paper: "Composite Feature Selection using Deep Ensembles"
  ☆22Updated 2 years ago
• AmrMKayid / nam
  Neural Additive Models (Google Research)
  ☆73Updated 4 years ago
• lemeln / nam
  Neural Additive Models (Google Research)
  ☆30Updated last year
• vanderschaarlab / MIRACLE
  ☆29Updated last year
• BorisMuzellec / MissingDataOT
  A Pytorch implementation of missing data imputation using optimal transport.
  ☆104Updated 4 years ago
• adrianjav / heterogeneous_vaes
  Pytorch implementation of VAEs for heterogeneous likelihoods.
  ☆42Updated 2 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 2 years ago
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆71Updated 4 years ago
• pamattei / miwae
  Implementation of the MIWAE method for deep generative modelling of incomplete data sets.
  ☆41Updated last year
• 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
• TURuibo / CauTabBench
  ☆13Updated 5 months ago
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆41Updated 2 years ago
• facebookresearch / nbm-spam
  Training and evaluating NBM and SPAM for interpretable machine learning.
  ☆78Updated 2 years ago
• mfbalin / Concrete-Autoencoders
  ☆120Updated 3 years ago
• AIgen / df-posthoc-calibration
  Model-agnostic posthoc calibration without distributional assumptions
  ☆42Updated 2 years ago
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆59Updated 4 years ago
• aangelopoulos / conformal-risk
  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…
  ☆71Updated 2 years ago
• ioanabica / Counterfactual-Recurrent-Network
  Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…
  ☆62Updated last year
• kherud / neural-additive-models-pt
  PyTorch implementation for Neural Additive Models
  ☆25Updated 4 years ago
• vistalab-technion / vqr
  Vector Quantile Regression
  ☆19Updated 6 months ago
• msesia / chr
  Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems
  ☆22Updated 3 years ago
• facebookresearch / infoshap
  Codebase for information theoretic shapley values to explain predictive uncertainty.This repo contains the code related to the paperWatso…
  ☆21Updated last year
• ratschlab / SVGP-VAE
  Tensorflow implementation for the SVGP-VAE model.
  ☆22Updated 4 years ago
• zzzace2000 / GAMs
  Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM). Code for our KDD 2021 paper "How Interpretable and T…
  ☆13Updated 4 years ago
• wangyongjie-ntu / CFAI
  A collection of algorithms of counterfactual explanations.
  ☆50Updated 4 years ago