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)
  ☆97Updated 4 months ago
• Jiachen-T-Wang / data-banzhaf
  Data Banzhaf: A Robust Data Valuation Framework for Machine Learning (AISTATS 2023 Oral)
  ☆17Updated last year
• ahxt / fair_fairness_benchmark
  FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.
  ☆29Updated last year
• amiratag / DistributionalShapley
  Distributional Shapley: A Distributional Framework for Data Valuation
  ☆30Updated last year
• criteo-research / continuous-fairness
  ☆22Updated 6 years ago
• ZaydH / influence_analysis_papers
  Influence Analysis and Estimation - Survey, Papers, and Taxonomy
  ☆79Updated last year
• brandeis-machine-learning / awesome-ml-fairness
  Papers and online resources related to machine learning fairness
  ☆72Updated 2 years ago
• yongkaiwu / FairAI
  This is a collection of papers and other resources related to fairness.
  ☆94Updated 2 years ago
• microsoft / DPSDA
  Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024 Spotlight]
  ☆97Updated 3 weeks ago
• lxuechen / private-transformers
  A codebase that makes differentially private training of transformers easy.
  ☆175Updated 2 years ago
• aai-institute / pyDVL
  pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
  ☆131Updated last month
• wuyinjun-1993 / DeltaGrad
  ☆30Updated 3 years ago
• lmgraves / AmnesiacML
  Methods for removing learned data from neural nets and evaluation of those methods
  ☆36Updated 4 years ago
• alstonlo / torch-influence
  A simple PyTorch implementation of influence functions.
  ☆88Updated last year
• meghdadk / SCRUB
  ☆44Updated 10 months ago
• alewarne / MachineUnlearning
  Code related to the paper "Machine Unlearning of Features and Labels"
  ☆70Updated last year
• awslabs / fast-differential-privacy
  Fast, memory-efficient, scalable optimization of deep learning with differential privacy
  ☆121Updated last month
• google-research / public-data-in-dpfl
  ☆22Updated 2 years ago
• ZhaoxuanWu / DAVINZ-DataValuation
  Training-free data valuation on deep neural network applications. (ICML-2022)
  ☆24Updated 2 years ago
• microsoft / prv_accountant
  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
  ☆73Updated last year
• mlfoundations / tableshift
  A benchmark for distribution shift in tabular data
  ☆53Updated last year
• facebookresearch / certified-removal
  Certified Removal from Machine Learning Models
  ☆66Updated 3 years ago
• yzeng58 / Improving-Fairness-via-Federated-Learning
  ☆13Updated 2 years ago
• ChrisWaites / pyvacy
  Differentially Private Optimization for PyTorch 👁🙅‍♀️
  ☆186Updated 5 years ago
• BielStela / membership_inference
  Python package to create adversarial agents for membership inference attacks againts machine learning models
  ☆47Updated 6 years ago
• spring-epfl / synthetic_data_release
  ☆39Updated 2 years ago
• OPTML-Group / Unlearn-Sparse
  [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…
  ☆71Updated last year
• Princeton-SysML / FILM
  Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)
  ☆56Updated 2 years ago
• weitianxin / awesome-distribution-shift
  A curated list of papers and resources about the distribution shift in machine learning.
  ☆120Updated last year
• natalialmg / MMPF
  Implementation of Minimax Pareto Fairness framework
  ☆21Updated 4 years ago