Alternatives and similar repositories for cifar-10.2

Users that are interested in cifar-10.2 are comparing it to the libraries listed below

• pluskid / structural-regularity
  ☆23Updated 2 years ago
• MadryLab / dataset-interfaces
  Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
  ☆45Updated 2 years ago
• VITA-Group / Robust_Weight_Signatures
  [ICML 2023] "Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?" by Ruisi Cai, Zhenyu Zhang, Zhangyang Wang
  ☆16Updated 2 years ago
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated 2 years ago
• MadryLab / journey-TRAK
  Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"
  ☆25Updated 2 years ago
• r-three / mats
  ☆32Updated last year
• MadryLab / BREEDS-Benchmarks
  ☆56Updated 5 years ago
• PolinaKirichenko / deep_feature_reweighting
  ☆111Updated 2 years ago
• Weixin-Liang / MetaShift
  MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)
  ☆108Updated 3 years ago
• tding1 / Neural-Collapse
  [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features
  ☆60Updated 3 years ago
• YanNeu / spurious_imagenet
  Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet
  ☆32Updated 2 years ago
• rgeirhos / dataset-pruning-metrics
  Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)
  ☆57Updated 2 years ago
• Saehyung-Lee / DCC
  This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.
  ☆22Updated 3 years ago
• singlasahil14 / salient_imagenet
  Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?
  ☆41Updated 3 years ago
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆97Updated 2 years ago
• modestyachts / ImageNetV2_pytorch
  ImageNetV2 Pytorch Dataset
  ☆42Updated 2 years ago
• tml-epfl / understanding-sam
  Towards Understanding Sharpness-Aware Minimization [ICML 2022]
  ☆38Updated 3 years ago
• JonasGeiping / dataaugs
  ☆18Updated 3 years ago
• locuslab / T-MARS
  Code for T-MARS data filtering
  ☆35Updated 2 years ago
• yolky / RFAD
  Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"
  ☆37Updated 2 years ago
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆31Updated 3 years ago
• MadryLab / failure-directions
  Distilling Model Failures as Directions in Latent Space
  ☆47Updated 3 years ago
• mueller-mp / SAM-ON
  ☆34Updated 2 years ago
• tsb0601 / MultiMon
  ☆25Updated 2 years ago
• Jiacheng-Zhu-AIML / AsymmetryLoRA
  Preprint: Asymmetry in Low-Rank Adapters of Foundation Models
  ☆38Updated last year
• huanranchen / Visualize-Loss-Landscape
  Respect to the input tensor instead of paramters of NN
  ☆21Updated 3 years ago
• chingyaoc / debias_vl
  Code for Debiasing Vision-Language Models via Biased Prompts
  ☆60Updated 2 years ago
• justincui03 / dc_benchmark
  ☆91Updated 3 years ago
• mlfoundations / clip_quality_not_quantity
  ☆29Updated 3 years ago
• i-gao / targeted-augs
  Code for paper "Out-of-Domain Robustness via Targeted Augmentations"
  ☆14Updated 2 years ago