Alternatives and similar repositories for plugininversion:

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

• MadryLab / dataset-interfaces
  Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
  ☆45Updated 2 years ago
• Hritikbansal / generative-robustness
  Create generated datasets and train robust classifiers
  ☆33Updated last year
• dydjw9 / Efficient_SAM
  ☆57Updated 2 years ago
• facebookresearch / augmentation-corruption
  This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".
  ☆45Updated 2 years ago
• Saehyung-Lee / DCC
  This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.
  ☆20Updated 2 years ago
• boyazeng / understand_bias
  Code release for "Understanding Bias in Large-Scale Visual Datasets"
  ☆19Updated 3 months ago
• Piyush-555 / GaussianDistillation
  Data-free knowledge distillation using Gaussian noise (NeurIPS paper)
  ☆15Updated last year
• yukimasano / single-img-extrapolating
  Repo for the paper "Extrapolating from a Single Image to a Thousand Classes using Distillation"
  ☆36Updated 8 months ago
• meijieru / fast_advprop
  [ICLR 2022]: Fast AdvProp
  ☆34Updated 2 years ago
• ZichenMiao / CL_Atom_Swapping
  ICLR 2022 (Spolight): Continual Learning With Filter Atom Swapping
  ☆16Updated last year
• rgeirhos / dataset-pruning-metrics
  Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)
  ☆55Updated last year
• illidanlab / ABD
  [ICML2023] Revisiting Data-Free Knowledge Distillation with Poisoned Teachers
  ☆23Updated 8 months ago
• luoyan407 / congruency
  [TPAMI 2019] The implementation for "Direction Concentration Learning: Enhancing Congruency in Machine Learning"
  ☆23Updated 5 years ago
• tml-epfl / sam-low-rank-features
  Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]
  ☆28Updated last year
• locuslab / T-MARS
  Code for T-MARS data filtering
  ☆35Updated last year
• yu-rp / Distribution-Shift-Iverson
  ☆42Updated last year
• vasusingla / simple-data-attribution
  A simple and efficient baseline for data attribution
  ☆11Updated last year
• yolky / RFAD
  Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"
  ☆37Updated 2 years ago
• sooonwoo / CL-Baselines
  This is a Pytorch implementation of contrastive Learning(CL) baselines.
  ☆13Updated 2 years ago
• chawins / adv-part-model
  Code for a research paper "Part-Based Models Improve Adversarial Robustness" (ICLR 2023)
  ☆23Updated last year
• mwalmer-umd / vit_analysis
  ☆34Updated last year
• abarbu / objectnet-template-pytorch
  baseline mode for the ObjectNet competition
  ☆17Updated 4 years ago
• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆40Updated last year
• clear-nus / selective-amnesia
  ☆60Updated 5 months ago
• AllanYangZhou / generative-invariance-transfer
  ☆26Updated 3 years ago
• JngwenYe / LIRF
  Code for ECCV 2022 paper “Learning with Recoverable Forgetting”
  ☆21Updated 2 years ago
• MadryLab / data-transfer
  ☆35Updated 2 years ago
• facebookresearch / ViP-MAE
  This is a PyTorch implementation of the paperViP A Differentially Private Foundation Model for Computer Vision
  ☆36Updated last year
• modestyachts / ImageNetV2_pytorch
  ImageNetV2 Pytorch Dataset
  ☆40Updated last year
• songweige / Contrastive-Learning-with-Non-Semantic-Negatives
  Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)
  ☆38Updated 3 years ago