Alternatives and similar repositories for post_hoc_debiasing:

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

• HazyResearch / mandoline
  (ICML 2021) Mandoline: Model Evaluation under Distribution Shift
  ☆31Updated 3 years ago
• facebookresearch / private_prediction
  The code reproduces the results of the experiments in the paper. In particular, it performs experiments in which machine-learning models …
  ☆20Updated 3 years ago
• google-deepmind / wasserstein_fairness
  An implementation of Wasserstein Fair Classification, a conference paper submitted to UAI 2019.
  ☆22Updated 5 years ago
• fgranese / DOCTOR
  Advances in Neural Information Processing Systems (NeurIPS 2021)
  ☆22Updated 2 years ago
• singlasahil14 / barlow
  Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction
  ☆35Updated 2 years ago
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆40Updated 2 years ago
• js-d / sim_metric
  ☆35Updated last year
• mmalekzadeh / privacy-preserving-bandits
  Privacy-Preserving Bandits (MLSys'20)
  ☆22Updated 2 years ago
• facebookresearch / fisher_information_loss
  This code reproduces the results of the paper, "Measuring Data Leakage in Machine-Learning Models with Fisher Information"
  ☆50Updated 3 years ago
• 1202kbs / Robustness-and-Interpretability
  Official repository for "Bridging Adversarial Robustness and Gradient Interpretability".
  ☆30Updated 5 years ago
• MadryLab / dataset-replication-analysis
  ☆25Updated 4 years ago
• Eric-Wallace / data-poisoning
  Concealed Data Poisoning Attacks on NLP Models
  ☆21Updated last year
• MadryLab / robustness_lib
  ☆11Updated 5 years ago
• tginart / deletion-efficient-kmeans
  Research prototype of deletion efficient k-means algorithms
  ☆23Updated 5 years ago
• Hazelsuko07 / TextHide
  TextHide: Tackling Data Privacy in Language Understanding Tasks
  ☆31Updated 4 years ago
• MadryLab / DebuggableDeepNetworks
  ☆38Updated 3 years ago
• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆27Updated 4 years ago
• yoshavit / fairml-farm
  A collection of implementations of fair ML algorithms
  ☆12Updated 7 years ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆56Updated last year
• sayakpaul / EvoNorms-in-TensorFlow-2
  Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.
  ☆11Updated 5 years ago
• summerscope / mapping-fair-ml
  😇A curated list of links and resources for Fair ML and Data Ethics
  ☆18Updated 2 years ago
• wenwei202 / smoothout
  SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning
  ☆23Updated 6 years ago
• remilepriol / causal-adaptation-speed
  Investigate the speed of adaptation of structural causal models
  ☆16Updated 4 years ago
• petuum / tuun
  Hyperparameter tuning via uncertainty modeling
  ☆47Updated 11 months ago
• JonasGeiping / dataaugs
  ☆17Updated 2 years ago
• QData / Reevaluating-NLP-Adversarial-Examples
  EMNLP Findings 2020: Reevaluating Adversarial Examples in Natural Language
  ☆7Updated 4 years ago
• IBM / sensitive-subspace-robustness
  ☆12Updated 4 years ago
• StephanZheng / neural-fingerprinting
  ☆29Updated 6 years ago
• sayakpaul / par-cvpr-21
  Contains notebooks for the PAR tutorial at CVPR 2021.
  ☆36Updated 3 years ago
• LevinRoman / parameter-space-saliency
  Parameter-Space Saliency Maps for Explainability
  ☆23Updated 2 years ago