stanislavfort / dissect-git-re-basinLinks
Replicating and dissecting the git-re-basin project in one-click-replication Colabs
☆36Updated 2 years ago
Alternatives and similar repositories for dissect-git-re-basin
Users that are interested in dissect-git-re-basin are comparing it to the libraries listed below
Sorting:
- Git Re-Basin: Merging Models modulo Permutation Symmetries in PyTorch☆75Updated 2 years ago
- ☆53Updated 8 months ago
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆47Updated last year
- This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…☆37Updated 2 years ago
- A centralized place for deep thinking code and experiments☆84Updated last year
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 3 years ago
- ☆34Updated 9 months ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- Codebase for Mechanistic Mode Connectivity☆14Updated last year
- Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]☆66Updated 9 months ago
- Python library for argument and configuration management☆54Updated 2 years ago
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆59Updated last year
- Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)☆80Updated last year
- Simple implementation of muP, based on Spectral Condition for Feature Learning. The implementation is SGD only, dont use it for Adam☆80Updated 10 months ago
- Latest Weight Averaging (NeurIPS HITY 2022)☆30Updated 2 years ago
- Data for "Datamodels: Predicting Predictions with Training Data"☆97Updated 2 years ago
- Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"☆22Updated last year
- These papers will provide unique insightful concepts that will broaden your perspective on neural networks and deep learning☆48Updated last year
- Transformers with doubly stochastic attention☆46Updated 2 years ago
- ☆60Updated 3 years ago
- nanoGPT-like codebase for LLM training☆98Updated last month
- 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
- DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule☆62Updated last year
- Official repo for the paper "Weight-based Decomposition: A Case for Bilinear MLPs"☆21Updated 6 months ago
- Deep Networks Grok All the Time and Here is Why☆37Updated last year
- ☆21Updated 3 weeks ago
- ☆26Updated 4 months ago
- Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks☆10Updated last year
- ☆51Updated last year
- ☆46Updated 7 months ago