Alternatives and similar repositories for Shapley_Valuation

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

• amiratag / DistributionalShapley
  Distributional Shapley: A Distributional Framework for Data Valuation
  ☆30Updated last year
• ykwon0407 / beta_shapley
  Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)
  ☆41Updated 2 years ago
• cambridge-mlg / CLUE
  Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
  ☆35Updated last year
• AI-secure / KNN-PVLDB
  Official Repo for "Efficient task-specific data valuation for nearest neighbor algorithms"
  ☆26Updated 5 years ago
• MLforHealth / ClinicalDG
  An Empirical Framework for Domain Generalization In Clinical Settings
  ☆30Updated 3 years ago
• izmailovpavel / spurious_feature_learning
  ☆45Updated 2 years ago
• ykwon0407 / dataoob
  Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)
  ☆18Updated last year
• fgranese / DOCTOR
  Advances in Neural Information Processing Systems (NeurIPS 2021)
  ☆22Updated 2 years ago
• skezle / sava
  Scalable data valuation using optimal transport (ICLR 2025)
  ☆12Updated last year
• monk1337 / Awesome-Robust-Machine-Learning
  A curated list of Robust Machine Learning papers/articles and recent advancements.
  ☆30Updated 2 years ago
• kakaobrain / irm-empirical-study
  An Empirical Study of Invariant Risk Minimization
  ☆27Updated 4 years ago
• acmi-lab / RLSbench
  Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
  ☆34Updated last year
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆44Updated 2 years ago
• jlko / active-testing
  Active and Sample-Efficient Model Evaluation
  ☆24Updated 2 weeks ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆56Updated last year
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆31Updated 2 years ago
• layer6ai-labs / TabDPT
  TabDPT: Scaling Tabular Foundation Models
  ☆27Updated last month
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆49Updated 2 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• ondrejbohdal / meta-calibration
  Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"
  ☆35Updated last year
• GT-RIPL / Geometric-Sensitivity-Decomposition
  ☆18Updated 3 years ago
• MadryLab / datamodels
  ☆28Updated 2 years ago
• AmanDaVinci / SENN
  Self-Explaining Neural Networks
  ☆42Updated 5 years ago
• arpitbansal297 / Meta-Balance
  ☆24Updated 3 years ago
• ahujak / IB-IRM
  ☆30Updated 3 years ago
• dmitrykazhdan / concept-based-xai
  Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
  ☆54Updated 2 years ago
• ucr-optml / AutoBalance
  ☆15Updated 3 years ago
• JonasGeiping / dataaugs
  ☆18Updated 2 years ago
• sayakpaul / par-cvpr-21
  Contains notebooks for the PAR tutorial at CVPR 2021.
  ☆36Updated 3 years ago
• alextamkin / active-learning-pretrained-models
  Active Learning Helps Pretrained Models Learn the Intended Task (https://arxiv.org/abs/2204.08491) by Alex Tamkin, Dat Nguyen, Salil Desh…
  ☆11Updated 2 years ago