Alternatives and similar repositories for DLDR

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

• justincui03 / dc_benchmark
  ☆89Updated 2 years ago
• nblt / TWA
  [ICLR 2023] Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions
  ☆27Updated 11 months ago
• 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…
  ☆49Updated 4 years ago
• zju-vipa / Fast-Datafree
  [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation
  ☆76Updated 3 years ago
• dedeswim / vits-robustness-torch
  Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]
  ☆54Updated 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
• x-zho14 / ProbMask-official
  Implementation of Effective Sparsification of Neural Networks with Global Sparsity Constraint
  ☆31Updated 3 years ago
• mueller-mp / SAM-ON
  ☆34Updated last year
• snu-mllab / Efficient-Dataset-Condensation
  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
  ☆115Updated 2 years ago
• inspire-group / hydra
  Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (ht…
  ☆91Updated 3 years ago
• danielchyeh / ImageNet-100-Pytorch
  (Pytorch) Training ResNets on ImageNet-100 data
  ☆64Updated 3 years ago
• JeanKaddour / WASAM
  Weight-Averaged Sharpness-Aware Minimization (NeurIPS 2022)
  ☆28Updated 3 years ago
• tml-epfl / sam-low-rank-features
  Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]
  ☆28Updated 2 years ago
• AngusDujw / SAF
  ☆35Updated 3 years ago
• nblt / RWP
  ☆11Updated 3 years ago
• inspire-group / proxy-distributions
  [ICLR 2022 official code] Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?
  ☆29Updated 3 years ago
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated 2 years ago
• mo666666 / When-Adversarial-Training-Meets-Vision-Transformers
  Official implementation of "When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture" published at Neur…
  ☆37Updated last year
• P2333 / SCORE
  A Self-Consistent Robust Error (ICML 2022)
  ☆69Updated 2 years ago
• wzekai99 / DM-Improves-AT
  Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)
  ☆146Updated 2 years ago
• imrahulr / adversarial_robustness_pytorch
  Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…
  ☆98Updated 3 years ago
• umd-huang-lab / Dynamics-Aware-Robust-Training
  ICLR 2023 paper "Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness" by Yuancheng Xu, Yanchao Sun, Micah Gold…
  ☆25Updated 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
• zju-vipa / CMI
  [IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation
  ☆73Updated 3 years ago
• nblt / Sub-AT
  [CVPR 2022 oral] Subspace Adversarial Training
  ☆28Updated 2 years ago
• tding1 / Neural-Collapse
  [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features
  ☆60Updated 3 years ago
• devansh20la / LPF-SGD
  ☆17Updated 3 years ago
• RulinShao / on-the-adversarial-robustness-of-visual-transformer
  Code for the paper "On the Adversarial Robustness of Visual Transformers"
  ☆59Updated 4 years ago
• ethz-spylab / diffusion_denoised_smoothing
  Certified robustness "for free" using off-the-shelf diffusion models and classifiers
  ☆44Updated 2 years ago
• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆40Updated 2 years ago