KellerJordan / REPAIRLinks
Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair
☆47Updated last year
Alternatives and similar repositories for REPAIR
Users that are interested in REPAIR are comparing it to the libraries listed below
Sorting:
- Git Re-Basin: Merging Models modulo Permutation Symmetries in PyTorch☆75Updated 2 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- ☆23Updated 2 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 3 years ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 3 years ago
- Training vision models with full-batch gradient descent and regularization☆37Updated 2 years ago
- ☆34Updated last year
- Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?☆40Updated 2 years ago
- ☆55Updated 4 years ago
- ☆58Updated 2 years ago
- Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"☆22Updated last year
- Distilling Model Failures as Directions in Latent Space☆47Updated 2 years ago
- ☆45Updated 2 years ago
- ☆107Updated last year
- Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]☆28Updated last year
- Replicating and dissecting the git-re-basin project in one-click-replication Colabs☆36Updated 2 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆97Updated 2 years ago
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆57Updated 2 years ago
- Weight-Averaged Sharpness-Aware Minimization (NeurIPS 2022)☆28Updated 2 years ago
- The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…☆79Updated 3 years ago
- Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…☆53Updated 3 years ago
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆37Updated 2 years ago
- Train ImageNet *fast* in 500 lines of code with FFCV☆143Updated last year
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆52Updated 2 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 4 years ago
- A Closer Look at Accuracy vs. Robustness☆89Updated 4 years ago
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆69Updated last year
- ModelDiff: A Framework for Comparing Learning Algorithms☆57Updated last year
- Implementation of Confidence-Calibrated Adversarial Training (CCAT).☆45Updated 4 years ago
- Recycling diverse models☆44Updated 2 years ago