mlfoundations / tableshift

Related projects: ⓘ

• MLforHealth / ClinicalDG
  An Empirical Framework for Domain Generalization In Clinical Settings
  ☆27Updated 2 years ago
• AmrMKayid / nam
  Neural Additive Models (Google Research)
  ☆67Updated 2 years ago
• AIgen / df-posthoc-calibration
  Model-agnostic posthoc calibration without distributional assumptions
  ☆42Updated 11 months ago
• cambridge-mlg / CLUE
  Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
  ☆35Updated 4 months ago
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆43Updated 2 years ago
• YyzHarry / SubpopBench
  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
  ☆97Updated last year
• ModelOriented / metaMIMIC
  ☆12Updated last year
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆100Updated last year
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆61Updated last year
• JonathanCrabbe / Simplex
  This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …
  ☆22Updated last year
• steven7woo / fair_regression_reduction
  General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.
  ☆14Updated 4 years ago
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆61Updated 3 years ago
• siamakz / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆41Updated 5 years ago
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆38Updated last year
• google-deepmind / distribution_shift_framework
  This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…
  ☆82Updated last month
• dmitrykazhdan / concept-based-xai
  Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
  ☆52Updated 2 years ago
• iancovert / fastshap
  An amortized approach for calculating local Shapley value explanations
  ☆86Updated 9 months ago
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆48Updated 3 years ago
• vanderschaarlab / Datagnosis
  A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.
  ☆22Updated last month
• lemeln / nam
  Neural Additive Models (Google Research)
  ☆26Updated 4 months ago
• aniruddhraghu / meta-pretraining
  Code accompanying paper: Meta-Learning to Improve Pre-Training
  ☆36Updated 2 years ago
• aangelopoulos / ltt
  Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
  ☆61Updated 4 months ago
• dylan-slack / Modeling-Uncertainty-Local-Explainability
  Local explanations with uncertainty 💐!
  ☆38Updated last year
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆56Updated 3 years ago
• acmi-lab / cmu-10732-robustness-adaptivity-shift
  Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments
  ☆73Updated last year
• acmi-lab / RLSbench
  Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
  ☆35Updated last year
• MLforHealth / CXR_Fairness
  Improving the Fairness of Chest X-ray Classifiers
  ☆14Updated 2 years ago
• seedatnabeel / TE-CDE
  Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)
  ☆23Updated 2 years ago
• Jonathan-Pearce / calibration_library
  Pytorch library for model calibration metrics and visualizations as well as recalibration methods. In progress!
  ☆65Updated 4 months ago
• sanatonek / time_series_explainability
  ☆59Updated 3 years ago