Alternatives and similar repositories for feature-shift:

Users that are interested in feature-shift are comparing it to the libraries listed below

• mlfoundations / tableshift
  A benchmark for distribution shift in tabular data
  ☆51Updated 10 months ago
• sanatonek / time_series_explainability
  ☆59Updated 4 years ago
• MLforHealth / ClinicalDG
  An Empirical Framework for Domain Generalization In Clinical Settings
  ☆30Updated 3 years ago
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆43Updated 2 years ago
• ratschlab / bnn_priors
  Code for the paper "Bayesian Neural Network Priors Revisited"
  ☆57Updated 3 years ago
• litian96 / TERM
  Tilted Empirical Risk Minimization (ICLR '21)
  ☆59Updated last year
• Shai128 / mqr
  Multiple-Output Quantile Regression
  ☆14Updated 3 years ago
• peaclab / CoMTE
  Counterfactual Explanations for Multivariate Time Series Data
  ☆31Updated last year
• JonathanCrabbe / Dynamask
  This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…
  ☆75Updated 2 years ago
• omarbahri / SETS
  ☆8Updated last year
• amiratag / DistributionalShapley
  Distributional Shapley: A Distributional Framework for Data Valuation
  ☆30Updated 11 months ago
• hturbe / InterpretTime
  Implementation of the InterpretTime framework
  ☆44Updated last year
• jmikko / fair_ERM
  Fair Empirical Risk Minimization (FERM)
  ☆37Updated 4 years ago
• dylan-slack / Modeling-Uncertainty-Local-Explainability
  Local explanations with uncertainty 💐!
  ☆39Updated last year
• ayaabdelsalam91 / TS-Interpretability-Benchmark
  ☆90Updated 3 years ago
• weitianxin / awesome-distribution-shift
  A curated list of papers and resources about the distribution shift in machine learning.
  ☆112Updated last year
• cambridge-mlg / cifar-10s
  HCOMP '22 -- Eliciting and Learning with Soft Labels from Every Annotator
  ☆10Updated 2 years ago
• uiuctml / ISR
  Invariant-feature Subspace Recovery (ISR)
  ☆23Updated 2 years ago
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆67Updated 3 years ago
• YoungseogChung / calibrated-quantile-uq
  Training quantile models
  ☆43Updated 4 months ago
• tennisonliu / GOGGLE
  ☆26Updated 2 years ago
• jc-audet / WOODS
  Benchmarks for Out-of-Distribution Generalization in Time Series Tasks
  ☆68Updated 2 years ago
• jjbrophy47 / tree_influence
  Influence Estimation for Gradient-Boosted Decision Trees
  ☆26Updated 10 months ago
• vistalab-technion / vqr
  Vector Quantile Regression
  ☆19Updated last year
• josephenguehard / time_interpret
  Unified Model Interpretability Library for Time Series
  ☆56Updated last year
• fengliu90 / DK-for-TST
  This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).
  ☆49Updated 3 years ago
• AIgen / df-posthoc-calibration
  Model-agnostic posthoc calibration without distributional assumptions
  ☆42Updated last year
• EtashGuha / R2CCP
  ☆22Updated 11 months ago
• edadaltocg / detectors
  Python package to accelerate research on generalized out-of-distribution (OOD) detection.
  ☆12Updated 9 months ago
• inouye-lab / ShapleyExplanationNetworks
  Implementation of the paper "Shapley Explanation Networks"
  ☆88Updated 4 years ago