Alternatives and similar repositories for awesome-data-valuation:

Users that are interested in awesome-data-valuation are comparing it to the libraries listed below

• opendataval / opendataval
  OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)
  ☆93Updated last week
• ZaydH / influence_analysis_papers
  Influence Analysis and Estimation - Survey, Papers, and Taxonomy
  ☆69Updated 11 months ago
• amiratag / DistributionalShapley
  Distributional Shapley: A Distributional Framework for Data Valuation
  ☆30Updated 9 months ago
• aai-institute / pyDVL
  pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
  ☆116Updated this week
• brandeis-machine-learning / awesome-ml-fairness
  Papers and online resources related to machine learning fairness
  ☆72Updated last year
• alstonlo / torch-influence
  A simple PyTorch implementation of influence functions.
  ☆84Updated 7 months ago
• google-deepmind / jax_privacy
  Algorithms for Privacy-Preserving Machine Learning in JAX
  ☆93Updated 7 months ago
• criteo-research / continuous-fairness
  ☆22Updated 5 years ago
• yongkaiwu / FairAI
  This is a collection of papers and other resources related to fairness.
  ☆92Updated last year
• baharanm / craig
  Data-efficient Training of Machine Learning Models
  ☆62Updated 4 years ago
• uvanlp / valda
  A Python Data Valuation Package
  ☆28Updated 2 years ago
• ahxt / fair_fairness_benchmark
  FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.
  ☆28Updated 9 months ago
• google-research / public-data-in-dpfl
  ☆22Updated 2 years ago
• Jiachen-T-Wang / data-banzhaf
  Data Banzhaf: A Robust Data Valuation Framework for Machine Learning (AISTATS 2023 Oral)
  ☆14Updated last year
• OPTML-Group / Unlearn-WorstCase
  [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …
  ☆22Updated 4 months ago
• reds-lab / LAVA
  This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).
  ☆46Updated 8 months ago
• charan223 / FairDeepLearning
  ☆37Updated last year
• alewarne / MachineUnlearning
  Code related to the paper "Machine Unlearning of Features and Labels"
  ☆68Updated last year
• AstraZeneca / awesome-shapley-value
  Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
  ☆145Updated 2 years ago
• meghdadk / SCRUB
  ☆43Updated 5 months ago
• facebookresearch / certified-removal
  Certified Removal from Machine Learning Models
  ☆63Updated 3 years ago
• guanchuwang / SHEAR
  Towards Efficient Shapley Value Estimation via Cross-contribution Maximization
  ☆13Updated 2 years ago
• lmgraves / AmnesiacML
  Methods for removing learned data from neural nets and evaluation of those methods
  ☆35Updated 4 years ago
• ryokamoi / pytorch_influence_functions
  This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…
  ☆16Updated 4 years ago
• jagielski / auditing-dpsgd
  Code for Auditing DPSGD
  ☆37Updated 3 years ago
• wuyinjun-1993 / DeltaGrad
  ☆28Updated 3 years ago
• kohpangwei / group-influence-release
  ☆50Updated last year
• ykwon0407 / dataoob
  Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)
  ☆18Updated last year
• jmikko / fair_ERM
  Fair Empirical Risk Minimization (FERM)
  ☆37Updated 4 years ago
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆67Updated 3 years ago