Weight-Averaged Sharpness-Aware Minimization (NeurIPS 2022)
☆28Jan 13, 2023Updated 3 years ago
Alternatives and similar repositories for WASAM
Users that are interested in WASAM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [NeurIPS 2022] Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach -- Official Implementation☆48Jun 29, 2023Updated 3 years ago
- ☆58Feb 13, 2023Updated 3 years ago
- Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]☆29Sep 22, 2023Updated 3 years ago
- ☆11Dec 8, 2022Updated 3 years ago
- ☆34Jan 25, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Training vision models with full-batch gradient descent and regularization☆39Feb 14, 2023Updated 3 years ago
- Benchmark and analysis of 165 pretrained SSL models. Code for "Evaluating Self-Supervised Learning via Risk Decomposition".☆14Jul 26, 2023Updated 3 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆46Sep 11, 2023Updated 3 years ago
- PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)☆147Aug 23, 2022Updated 4 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆38Jun 14, 2022Updated 4 years ago
- Code for our NeurIPS 2023 paper Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly☆14Jan 22, 2024Updated 2 years ago
- Latest Weight Averaging (NeurIPS HITY 2022)☆34Jun 20, 2023Updated 3 years ago
- The official repo for CVPR2023 highlight paper "Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization".☆86Jun 20, 2023Updated 3 years ago
- Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"☆18Mar 12, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Pytorch implementation of DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns☆14Dec 23, 2021Updated 4 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆97Sep 23, 2021Updated 5 years ago
- "Towards Scaling Difference Target Propagation by Learning Backprop Targets" (ICML 2022)☆13Jan 17, 2023Updated 3 years ago
- [TMLR 2024] Revisiting Random Weight Perturbation for Efficiently Improving Generalization☆13Oct 18, 2024Updated last year
- Official repository for ICCV 2023: Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class☆13Oct 16, 2023Updated 2 years ago
- ☆11Feb 27, 2023Updated 3 years ago
- ☆26Oct 26, 2020Updated 5 years ago
- ☆10Jun 23, 2018Updated 8 years ago
- SAM: Sharpness-Aware Minimization (PyTorch)☆1,986Feb 21, 2024Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆35Dec 16, 2022Updated 3 years ago
- ☆12Apr 19, 2024Updated 2 years ago
- ☆35Aug 30, 2021Updated 5 years ago
- ☆32Feb 11, 2021Updated 5 years ago
- [NeurIPS 2024 Spotlight] Official implementation for "PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency r…☆19Jun 5, 2026Updated 4 months ago
- (Python3, PyQt5) GUI software to tile large images. Designed to image 96-well plates used in wet labs.☆12Jun 28, 2018Updated 8 years ago
- Tool to check DKIM-Signature of many emails and report results in a spreadsheet☆13Oct 21, 2016Updated 9 years ago
- Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]☆73Sep 25, 2024Updated 2 years ago
- ☆13Oct 8, 2021Updated 5 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Implementation of the paper: Selective_Backpropagation from paper Accelerating Deep Learning by Focusing on the Biggest Losers☆16Feb 2, 2020Updated 6 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Dec 30, 2021Updated 4 years ago
- Code to accompany: https://arxiv.org/abs/2001.08349☆11Jul 6, 2023Updated 3 years ago
- PyTorch Memory Efficient Sparse Sparse Matrix Multiplication☆12Aug 12, 2024Updated 2 years ago
- ECCV2024: Adversarial Prompt Tuning for Vision-Language Models☆31Mar 7, 2026Updated 7 months ago
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆48Apr 9, 2021Updated 5 years ago
- Code for Fooling Contrastive Language-Image Pre-trainined Models with CLIPMasterPrints☆15Jan 25, 2026Updated 8 months ago