Alternatives and similar repositories for DAVINZ-DataValuation:

Users that are interested in DAVINZ-DataValuation are comparing it to the libraries listed below

• lucweytingh / ARL-UvA
  A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demog…
  ☆21Updated 4 years ago
• ybjiaang / ACTIR
  Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"
  ☆15Updated 2 years ago
• oneHuster / MixupE
  Codes for "MixupE: Understanding and Improving Mixup from Directional Derivative Perspective" UAI 2023 Oral
  ☆28Updated last year
• alstonlo / torch-influence
  A simple PyTorch implementation of influence functions.
  ☆84Updated 7 months ago
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆50Updated 3 years ago
• ZaydH / influence_analysis_papers
  Influence Analysis and Estimation - Survey, Papers, and Taxonomy
  ☆68Updated 11 months ago
• weitianxin / awesome-distribution-shift
  A curated list of papers and resources about the distribution shift in machine learning.
  ☆108Updated last year
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆65Updated last year
• 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
• MiaoXiong2320 / ProximityBias-Calibration
  ☆17Updated last year
• daviddao / awesome-data-valuation
  💱 A curated list of data valuation (DV) to design your next data marketplace
  ☆114Updated 2 months ago
• linyongver / Bayesian-Invariant-Risk-Minmization
  This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.
  ☆42Updated last year
• ryanchankh / cifar100coarse
  Build PyTorch CIFAR100 using coarse labels
  ☆38Updated 4 years ago
• brandeis-machine-learning / awesome-ml-fairness
  Papers and online resources related to machine learning fairness
  ☆70Updated last year
• ahxt / fair_fairness_benchmark
  FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.
  ☆27Updated 8 months ago
• kohpangwei / group-influence-release
  ☆50Updated last year
• LYang-666 / TRGP
  [ICLR 2022] Official Code Repository for "TRGP: TRUST REGION GRADIENT PROJECTION FOR CONTINUAL LEARNING"
  ☆20Updated 2 years ago
• justincui03 / dc_benchmark
  ☆84Updated 2 years ago
• kohpangwei / group_DRO
  Distributionally robust neural networks for group shifts
  ☆254Updated 2 years ago
• AdityaGolatkar / SelectiveForgetting
  ☆56Updated 4 years ago
• reds-lab / LAVA
  This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).
  ☆45Updated 7 months ago
• ynysjtu / ood_bench
  ☆48Updated 2 years ago
• shenlei515 / VHL-paddle
  translation of VHL repo in paddle
  ☆25Updated last year
• ShiYunyi / Meta-Weight-Net_Code-Optimization
  A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.
  ☆56Updated 3 years ago
• OPTML-Group / Unlearn-WorstCase
  [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …
  ☆19Updated 3 months ago
• PatrickZH / DeepCore
  Code for coreset selection methods
  ☆218Updated last year
• zdchu / CoNAL
  Code for AAAI 2021 long paper Learning from Crowds by Modeling Common Confusions.
  ☆11Updated 3 years ago
• nsfzyzz / loss_landscape_taxonomy
  [NeurIPS 2021] code for "Taxonomizing local versus global structure in neural network loss landscapes" https://arxiv.org/abs/2107.11228
  ☆19Updated 3 years ago
• IRMBed / IRMBed
  This is the project for IRM methods
  ☆12Updated 3 years ago
• criteo-research / continuous-fairness
  ☆22Updated 5 years ago