Alternatives and similar repositories for DomainLab

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

• rgklab / detectron
  Official repository for the ICLR 2023 paper "A Learning Based Hypothesis Test for Harmful Covariate Shift"
  ☆12Updated last year
• ahmedmalaa / evaluating-generative-models
  ☆21Updated 2 years ago
• cianeastwood / qrm
  Quantile risk minimization
  ☆24Updated 9 months ago
• IML-DKFZ / fd-shifts
  A Benchmark for Failure Detection under Distribution Shifts in Image Classification
  ☆32Updated 7 months ago
• biomedia-mira / causal-gen
  (ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models
  ☆61Updated 2 months ago
• 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
  ☆108Updated last year
• gulnazaki / counterfactual-benchmark
  Benchmark study of quality and faithfulness of counterfactual image generation
  ☆24Updated last month
• ys-zong / MEDFAIR
  [ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging
  ☆65Updated 2 years ago
• huaxiuyao / C-Mixup
  C-Mixup for NeurIPS 2022
  ☆70Updated last year
• marksgraham / ddpm-ood
  Official PyTorch code for "Out-of-distribution detection with denoising diffusion models"
  ☆50Updated 11 months ago
• suinleelab / vit-shapley
  ☆33Updated 10 months ago
• yi249 / ssl-causal
  Semi-Supervised Learning for Deep Causal Generative Models
  ☆22Updated 7 months ago
• izmailovpavel / spurious_feature_learning
  ☆45Updated 2 years ago
• kilianFatras / JUMBOT
  Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"
  ☆46Updated 2 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
• sciai-lab / cl-tsne-umap
  ☆33Updated 3 weeks ago
• zengyi-li / NMCE-release
  Code for Neural Manifold Clustering and Embedding
  ☆59Updated 3 years ago
• zhang64-llnl / Mix-n-Match-Calibration
  ☆35Updated 4 years ago
• MECLabTUDA / FrOoDo
  ☆27Updated 2 years ago
• MinaGhadimiAtigh / Hyperbolic-Busemann-Learning
  Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021
  ☆24Updated 3 years ago
• ifiaposto / Distance_Aware_Bottleneck
  Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024
  ☆28Updated 9 months ago
• i6092467 / semi-supervised-multiview-cbm
  Concept bottleneck models for multiview data with incomplete concept sets
  ☆13Updated last year
• zifanzhu / DeepLINK
  Deep Large-Scale Inference UsingKnockoffs
  ☆11Updated 3 years ago
• daifengwanglab / JAMIE
  Joint variational Autoencoders for Multimodal Imputation and Embedding (JAMIE)
  ☆28Updated 2 months ago
• Boehringer-Ingelheim / anomaly-detection-in-histology
  Learning image representations for anomaly detection: application to discovery of histological alterations in drug development
  ☆20Updated last year
• AmayaGS / MUSTANG
  Multi-stain graph self attention multiple instance learning for histopathology Whole Slide Images - BMVC 2023
  ☆13Updated 3 months ago
• CAMP-eXplain-AI / Style-CheXplain
  GAN-based method to create counterfactual explanations for chest X-rays
  ☆25Updated 2 years ago
• cyz-ai / infomin
  Official codes for Scalable Infomin Learning, NeurIPS 2022
  ☆13Updated 2 years ago
• a-norcliffe / Composite-Feature-Selection
  Official Code for the paper: "Composite Feature Selection using Deep Ensembles"
  ☆22Updated 2 years ago