Alternatives and similar repositories for fairgrad:

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

• microsoft / prv_accountant
  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
  ☆73Updated last year
• google-deepmind / jax_privacy
  Algorithms for Privacy-Preserving Machine Learning in JAX
  ☆95Updated last week
• lxuechen / private-transformers
  A codebase that makes differentially private training of transformers easy.
  ☆171Updated 2 years ago
• socialfoundations / folktables
  Datasets derived from US census data
  ☆258Updated 11 months ago
• BorealisAI / private-data-generation
  A toolbox for differentially private data generation
  ☆131Updated last year
• alan-turing-institute / tapas
  ☆35Updated last year
• dylan-slack / Fooling-LIME-SHAP
  Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
  ☆82Updated 2 years ago
• oxfordinternetinstitute / oxonfair
  Fairness toolkit for pytorch, scikit learn and autogluon
  ☆32Updated 4 months ago
• charan223 / FairDeepLearning
  ☆37Updated 2 years ago
• AI4LIFE-GROUP / OpenXAI
  OpenXAI : Towards a Transparent Evaluation of Model Explanations
  ☆245Updated 8 months ago
• jmikko / fair_ERM
  Fair Empirical Risk Minimization (FERM)
  ☆37Updated 4 years ago
• uvanlp / valda
  A Python Data Valuation Package
  ☆30Updated 2 years ago
• microsoft / dp-transformers
  Differentially-private transformers using HuggingFace and Opacus
  ☆136Updated 7 months ago
• astorfi / differentially-private-cgan
  ☆13Updated 4 years ago
• csong27 / auditing-text-generation
  Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)
  ☆9Updated 5 years ago
• jagielski / auditing-dpsgd
  Code for Auditing DPSGD
  ☆37Updated 3 years ago
• awslabs / fast-differential-privacy
  Fast, memory-efficient, scalable optimization of deep learning with differential privacy
  ☆120Updated 3 months ago
• spring-epfl / mia
  A library for running membership inference attacks against ML models
  ☆144Updated 2 years ago
• spring-epfl / synthetic_data_release
  ☆39Updated 2 years ago
• ganevgv / dp-generative-models
  Differentially Private (tabular) Generative Models Papers with Code
  ☆48Updated 9 months ago
• yzeng58 / Improving-Fairness-via-Federated-Learning
  ☆13Updated 2 years ago
• ftramer / Handcrafted-DP
  ☆80Updated 2 years ago
• alstonlo / torch-influence
  A simple PyTorch implementation of influence functions.
  ☆85Updated 10 months ago
• facebookresearch / label_dp_antipodes
  Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"
  ☆31Updated 3 years ago
• aai-institute / pyDVL
  pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
  ☆124Updated last week
• ZaydH / influence_analysis_papers
  Influence Analysis and Estimation - Survey, Papers, and Taxonomy
  ☆77Updated last year
• Jiachen-T-Wang / data-banzhaf
  Data Banzhaf: A Robust Data Valuation Framework for Machine Learning (AISTATS 2023 Oral)
  ☆15Updated last year
• AI-secure / G-PATE
  [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…
  ☆30Updated 3 years ago
• VectorInstitute / laftr
  Learning Adversarially Fair and Transferable Representations
  ☆54Updated 6 years ago
• steven7woo / fair_regression_reduction
  General fair regression subject to demographic parity constraint. Paper appeared in ICML 2019.
  ☆15Updated 4 years ago