Alternatives and similar repositories for DCC:

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

• justincui03 / dc_benchmark
  ☆85Updated 2 years ago
• justincui03 / tesla
  ☆27Updated 11 months ago
• yolky / RFAD
  Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"
  ☆37Updated 2 years ago
• yongchaoz / FRePo
  Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)
  ☆47Updated 2 years ago
• snu-mllab / Efficient-Dataset-Condensation
  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
  ☆112Updated last year
• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆40Updated last year
• JeanKaddour / WASAM
  Weight-Averaged Sharpness-Aware Minimization (NeurIPS 2022)
  ☆28Updated 2 years ago
• LijieFan / AdvCL
  [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”
  ☆48Updated 3 years ago
• 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
• mpagli / Agree-to-Disagree
  Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"
  ☆35Updated 2 years ago
• princetonvisualai / RememberThePast-DatasetDistillation
  ☆37Updated 2 years ago
• OPTML-Group / ILM-VP
  [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…
  ☆52Updated last year
• youranonymousefriend / plugininversion
  Official Implementation for PlugIn Inversion
  ☆16Updated 3 years ago
• deeplearning-wisc / gradnorm_ood
  On the Importance of Gradients for Detecting Distributional Shifts in the Wild
  ☆55Updated 2 years ago
• deeplearning-wisc / poem
  PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022
  ☆28Updated last year
• tml-epfl / sam-low-rank-features
  Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]
  ☆28Updated last year
• mueller-mp / SAM-ON
  ☆34Updated last year
• ondrejbohdal / label-distillation
  Official PyTorch implementation of “Flexible Dataset Distillation: Learn Labels Instead of Images”
  ☆41Updated 4 years ago
• Hritikbansal / generative-robustness
  Create generated datasets and train robust classifiers
  ☆33Updated last year
• yaolu-zjut / DDInterpreter
  ☆15Updated 9 months ago
• MadryLab / dataset-interfaces
  Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation
  ☆45Updated 2 years ago
• j-cb / NINCO
  Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"
  ☆24Updated last year
• deeplearning-wisc / Spurious_OOD
  ☆22Updated 2 years ago
• OODRobustBench / OODRobustBench
  OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift. ICML 2024 and ICLRW-DMLR 2024
  ☆20Updated 7 months ago
• VICO-UoE / IT-GAN
  ☆23Updated last year
• inspire-group / tta_risk
  ☆11Updated last year
• VITA-Group / Alleviate-Robust-Overfitting
  [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…
  ☆46Updated 3 years ago
• arumaekawa / DiLM
  Implementaiton of "DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation" (accepted by NAACL2024 Findings)".
  ☆17Updated last month
• Mi-Peng / Sparse-Sharpness-Aware-Minimization
  [NeurIPS 2022] Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach -- Official Implementation
  ☆44Updated last year
• Piyush-555 / GaussianDistillation
  Data-free knowledge distillation using Gaussian noise (NeurIPS paper)
  ☆15Updated last year