themrzmaster / git-re-basin-pytorch
Git Re-Basin: Merging Models modulo Permutation Symmetries in PyTorch
☆75Updated 2 years ago
Alternatives and similar repositories for git-re-basin-pytorch:
Users that are interested in git-re-basin-pytorch are comparing it to the libraries listed below
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆47Updated last year
- Replicating and dissecting the git-re-basin project in one-click-replication Colabs☆36Updated 2 years ago
- Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]☆28Updated last year
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆97Updated last year
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- ☆35Updated 2 years ago
- What do we learn from inverting CLIP models?☆52Updated last year
- ☆34Updated last year
- ☆57Updated 2 years ago
- Apply methods described in "Git Re-basin"-paper [1] to arbitrary models --- [1] Ainsworth et al. (https://arxiv.org/abs/2209.04836)☆14Updated this week
- Train ImageNet *fast* in 500 lines of code with FFCV☆140Updated 10 months ago
- Model Fusion via Optimal Transport, NeurIPS 2020☆141Updated 2 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- ☆108Updated last year
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆55Updated last year
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 3 years ago
- Weight-Averaged Sharpness-Aware Minimization (NeurIPS 2022)☆28Updated 2 years ago
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆86Updated last year
- Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?☆39Updated 2 years ago
- SparCL: Sparse Continual Learning on the Edge @ NeurIPS 22☆29Updated last year
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆47Updated 9 months ago
- PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)☆140Updated 2 years ago
- ☆38Updated 4 months ago
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆37Updated 2 years ago
- Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…☆52Updated 3 years ago
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆47Updated 2 years ago
- The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…☆78Updated 2 years ago
- A Continual Learning Library in PyTorch and JAX☆14Updated last year
- ☆84Updated 2 years ago
- ☆28Updated 8 months ago