Alternatives and similar repositories for mandoline

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

• HazyResearch / model-patching
  Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
  ☆42Updated 4 years ago
• jlko / active-testing
  Active and Sample-Efficient Model Evaluation
  ☆24Updated 3 months ago
• IBM / HOTT
  Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"
  ☆54Updated 5 years ago
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆41Updated 2 years ago
• hankyul2 / DomainAdaptation
  Domain Adaptation
  ☆23Updated 3 years ago
• flaviovdf / label-shift
  ☆32Updated 4 years ago
• salesforce / NeuralBayes
  ☆24Updated 3 months ago
• zackchase / label_shift
  A simple algorithm to identify and correct for label shift.
  ☆22Updated 7 years ago
• IBM / Contrastive-Explanation-Method
  Codes for reproducing the contrastive explanation in “Explanations based on the Missing: Towards Contrastive Explanations with Pertinent…
  ☆54Updated 7 years ago
• kundajelab / labelshiftexperiments
  Label shift experiments
  ☆17Updated 4 years ago
• awasthiabhijeet / Learning-From-Rules
  Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net…
  ☆50Updated 2 years ago
• YilunZhou / optimal-active-learning
  Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"
  ☆15Updated 4 years ago
• realityengines / post_hoc_debiasing
  ☆17Updated 5 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• iancovert / removal-explanations
  A lightweight implementation of removal-based explanations for ML models.
  ☆58Updated 4 years ago
• HazyResearch / hidden-stratification
  Combating hidden stratification with GEORGE
  ☆64Updated 4 years ago
• MadryLab / ImageNetMultiLabel
  Fine-grained ImageNet annotations
  ☆29Updated 5 years ago
• MadryLab / glm_saga
  Minimal, standalone library for solving GLMs in PyTorch
  ☆26Updated 3 years ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆23Updated 2 years ago
• gregdeon / spotlight
  Implementation of the spotlight: a method for discovering systematic errors in deep learning models
  ☆11Updated 3 years ago
• ganguli-lab / degrees-of-freedom
  ☆37Updated 3 years ago
• google / TrustScore
  To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective t…
  ☆177Updated 2 years ago
• samiraabnar / Reflect
  Official Implementation of "Transferring Inductive Biases Through Knowledge Distillation"
  ☆14Updated 5 years ago
• carolinlawrence / gradient-rollback
  Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…
  ☆21Updated 4 years ago
• MadryLab / dataset-replication-analysis
  ☆25Updated 5 years ago
• aakashrkaku / intermdiate_layer_matter_ssl
  The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.
  ☆40Updated 3 years ago
• MadryLab / EditingClassifiers
  ☆95Updated 2 years ago
• LevinRoman / parameter-space-saliency
  Parameter-Space Saliency Maps for Explainability
  ☆23Updated 2 years ago
• jmkuebler / auto-tst
  AutoML Two-Sample Test
  ☆20Updated 3 years ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆59Updated 2 years ago