Alternatives and similar repositories for pytorch_influence_functions

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

• kohpangwei / group_DRO
  Distributionally robust neural networks for group shifts
  ☆273Updated 2 years ago
• PatrickZH / DeepCore
  Code for coreset selection methods
  ☆238Updated 2 years ago
• alstonlo / torch-influence
  A simple PyTorch implementation of influence functions.
  ☆89Updated last year
• facebookresearch / InvariantRiskMinimization
  PyTorch code to run synthetic experiments.
  ☆424Updated 3 years ago
• mtoneva / example_forgetting
  ☆175Updated last year
• PatrickZH / Awesome-Coreset-Selection
  Awesome coreset/core-set/subset/sample selection works.
  ☆178Updated last year
• kohpangwei / group-influence-release
  ☆50Updated 2 years ago
• VectorInstitute / laftr
  Learning Adversarially Fair and Transferable Representations
  ☆55Updated 6 years ago
• VICO-UoE / DatasetCondensation
  Dataset Condensation (ICLR21 and ICML21)
  ☆521Updated last year
• ryanchankh / cifar100coarse
  Build PyTorch CIFAR100 using coarse labels
  ☆39Updated 5 years ago
• csdongxian / AWP
  Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"
  ☆182Updated 4 years ago
• ZaydH / influence_analysis_papers
  Influence Analysis and Estimation - Survey, Papers, and Taxonomy
  ☆80Updated last year
• P2333 / Papers-of-Robust-ML
  Related papers for robust machine learning
  ☆566Updated 2 years ago
• p-lambda / wilds
  A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
  ☆571Updated last year
• pokaxpoka / deep_Mahalanobis_detector
  Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".
  ☆346Updated 5 years ago
• acmi-lab / cmu-10732-robustness-adaptivity-shift
  Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments
  ☆74Updated 2 years ago
• mansheej / data_diet
  ☆108Updated 2 years ago
• ssnl / dataset-distillation
  Open-source code for paper "Dataset Distillation"
  ☆811Updated last month
• kohpangwei / influence-release
  ☆791Updated 4 years ago
• criteo-research / continuous-fairness
  ☆22Updated 6 years ago
• baharanm / craig
  Data-efficient Training of Machine Learning Models
  ☆63Updated 4 years ago
• Angie-Liu / labelshift
  Regularized Learning under label shifts
  ☆18Updated 6 years ago
• xjtushujun / meta-weight-net
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
  ☆290Updated 3 years ago
• p3i0t / SimCLR-CIFAR10
  Pytorch SimCLR on CIFAR10 (92.85% test accuracy)
  ☆57Updated 5 years ago
• jcpeterson / cifar-10h
  Original dataset release for CIFAR-10H
  ☆83Updated 4 years ago
• bhanML / Co-teaching
  NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
  ☆508Updated 3 years ago
• jfc43 / informative-outlier-mining
  We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…
  ☆57Updated 3 years ago
• daviddao / awesome-data-valuation
  💱 A curated list of data valuation (DV) to design your next data marketplace
  ☆125Updated 5 months ago
• JordanAsh / badge
  An implementation of the BADGE batch active learning algorithm.
  ☆208Updated last year
• awslabs / aws-cv-task2vec
  Official code for the paper "Task2Vec: Task Embedding for Meta-Learning" (https://arxiv.org/abs/1902.03545, ICCV 2019)
  ☆122Updated 2 years ago