Alternatives and similar repositories for DomainLab:

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

• rajesh-lab / ddlk
  Deep direct likelihood knockoffs
  ☆12Updated 4 years ago
• facebookresearch / infoshap
  Codebase for information theoretic shapley values to explain predictive uncertainty.This repo contains the code related to the paperWatso…
  ☆21Updated 9 months ago
• mkirchhof / url
  Uncertainty-aware representation learning (URL) benchmark
  ☆102Updated last month
• ys-zong / MEDFAIR
  [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging
  ☆62Updated last year
• MLforHealth / ClinicalDG
  An Empirical Framework for Domain Generalization In Clinical Settings
  ☆30Updated 3 years ago
• YyzHarry / SubpopBench
  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
  ☆107Updated last year
• zhang64-llnl / Mix-n-Match-Calibration
  ☆34Updated 4 years ago
• izmailovpavel / spurious_feature_learning
  ☆45Updated 2 years ago
• mlaves / well-calibrated-regression-uncertainty
  Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".
  ☆31Updated 3 years ago
• daifengwanglab / JAMIE
  Joint variational Autoencoders for Multimodal Imputation and Embedding (JAMIE)
  ☆28Updated 2 weeks ago
• cianeastwood / qrm
  Quantile risk minimization
  ☆24Updated 8 months ago
• arobey1 / mbdg
  ☆36Updated 3 years ago
• ml-stat-Sustech / conformal_prediction_via_label_ranking
  [ICML'24] Conformal Prediction for Deep Classifier via Label Ranking
  ☆12Updated 10 months ago
• zengyi-li / NMCE-release
  Code for Neural Manifold Clustering and Embedding
  ☆59Updated 3 years ago
• rgklab / detectron
  Official repository for the ICLR 2023 paper "A Learning Based Hypothesis Test for Harmful Covariate Shift"
  ☆12Updated last year
• gmum / ProtoPShare
  GitHub repository for KDD 2021 work: ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classificati…
  ☆12Updated 3 years ago
• kilianFatras / JUMBOT
  Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"
  ☆46Updated 2 years ago
• IML-DKFZ / fd-shifts
  A Benchmark for Failure Detection under Distribution Shifts in Image Classification
  ☆31Updated 5 months ago
• ifiaposto / Distance_Aware_Bottleneck
  Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024
  ☆28Updated 7 months ago
• suinleelab / vit-shapley
  ☆33Updated 8 months ago
• biomedia-mira / causal-gen
  (ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models
  ☆59Updated 3 weeks ago
• ahmedmalaa / evaluating-generative-models
  ☆21Updated 2 years ago
• luyuzhe111 / COT
  [NeurIPS 23] Characterizing OOD Error via Optimal Transport
  ☆13Updated last year
• CAMP-eXplain-AI / Style-CheXplain
  GAN-based method to create counterfactual explanations for chest X-rays
  ☆24Updated 2 years ago
• acmi-lab / RLSbench
  Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
  ☆34Updated last year
• nerdslab / latentOT
  Latent optimal transport (LOT) for low rank transport and clustering
  ☆19Updated 3 years ago
• khainb / Mini-batch-OT
  A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…
  ☆37Updated 2 years ago
• abdelwahed / OT_for_big_data
  Optimal Transport in the Big Data Era
  ☆105Updated 5 months ago
• a-norcliffe / Composite-Feature-Selection
  Official Code for the paper: "Composite Feature Selection using Deep Ensembles"
  ☆22Updated 2 years ago
• zju-vipa / ProtoPFormer
  ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
  ☆37Updated 2 years ago