Alternatives and similar repositories for influence_analysis_papers:

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

• alstonlo / torch-influence
  A simple PyTorch implementation of influence functions.
  ☆85Updated 10 months ago
• TRAIS-Lab / dattri
  `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.
  ☆71Updated last week
• google-research / jax-influence
  ☆60Updated 3 years ago
• opendataval / opendataval
  OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)
  ☆95Updated 2 months ago
• ykwon0407 / DataInf
  DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
  ☆63Updated 6 months ago
• MadryLab / trak
  A fast, effective data attribution method for neural networks in PyTorch
  ☆204Updated 4 months ago
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆71Updated 10 months ago
• reds-lab / LAVA
  This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).
  ☆48Updated 10 months ago
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆96Updated last year
• pomonam / kronfluence
  Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature
  ☆144Updated 8 months ago
• salesforce / fast-influence-functions
  ☆89Updated last year
• kohpangwei / group-influence-release
  ☆50Updated 2 years ago
• logix-project / logix
  AI Logging for Interpretability and Explainability🔬
  ☆111Updated 10 months ago
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆50Updated 3 years ago
• MadryLab / datamodels
  ☆28Updated last year
• google-research / heldout-influence-estimation
  ☆62Updated 3 years ago
• acmi-lab / cmu-10732-robustness-adaptivity-shift
  Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments
  ☆73Updated 2 years ago
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated last year
• criteo-research / continuous-fairness
  ☆22Updated 5 years ago
• ykwon0407 / dataoob
  Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)
  ☆18Updated last year
• javiferran / sae_entities
  ☆23Updated last month
• mueller-mp / SAM-ON
  ☆34Updated last year
• lucweytingh / ARL-UvA
  A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demog…
  ☆20Updated 4 years ago
• gortizji / tangent_task_arithmetic
  Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".
  ☆99Updated last year
• Varal7 / conformal-language-modeling
  Conformal Language Modeling
  ☆28Updated last year
• pratyushmaini / localizing-memorization
  Official Repository for ICML 2023 paper "Can Neural Network Memorization Be Localized?"
  ☆18Updated last year
• aw31 / empirical-ntks
  Efficient empirical NTKs in PyTorch
  ☆18Updated 2 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
• ElisaNguyen / bayesian-tda
  Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"
  ☆17Updated 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 6 months ago