Alternatives and similar repositories for rebasin

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

• themrzmaster / git-re-basin-pytorch
  Git Re-Basin: Merging Models modulo Permutation Symmetries in PyTorch
  ☆75Updated 2 years ago
• stanislavfort / dissect-git-re-basin
  Replicating and dissecting the git-re-basin project in one-click-replication Colabs
  ☆36Updated 2 years ago
• r-three / mats
  ☆30Updated 11 months ago
• hamidkazemi22 / CLIPInversion
  What do we learn from inverting CLIP models?
  ☆55Updated last year
• KellerJordan / REPAIR
  Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair
  ☆47Updated last year
• mmatena / model_merging
  ☆69Updated 3 years ago
• nateraw / huggingface-vit-finetune
  Finetune Google's pre-trained ViT models from HuggingFace's model hub.
  ☆21Updated 4 years ago
• mcleish7 / gemstone-scaling-laws
  ☆26Updated 4 months ago
• izmailovpavel / spurious_feature_learning
  ☆45Updated 2 years ago
• ahans30 / goldfish-loss
  [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs
  ☆89Updated 7 months ago
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated last year
• gortizji / tangent_task_arithmetic
  Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".
  ☆102Updated 2 years ago
• MadryLab / datamodels
  ☆29Updated 2 years ago
• MadryLab / datamodels-data
  Data for "Datamodels: Predicting Predictions with Training Data"
  ☆97Updated 2 years ago
• naotoo1 / Beyond-Neural-Scaling
  Implementation of Beyond Neural Scaling beating power laws for deep models and prototype-based models
  ☆34Updated last month
• MadryLab / journey-TRAK
  Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"
  ☆22Updated last year
• IBM / NeuronAlignment
  Codes for the paper "Optimizing Mode Connectivity via Neuron Alignment" from NeurIPS 2020.
  ☆16Updated 4 years ago
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆44Updated 2 years ago
• EkdeepSLubana / MMC
  Codebase for Mechanistic Mode Connectivity
  ☆14Updated last year
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆80Updated last year
• mueller-mp / SAM-ON
  ☆34Updated last year
• Weixin-Liang / MetaShift
  MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)
  ☆109Updated 2 years ago
• snu-mllab / Neural-Relation-Graph
  Official PyTorch implementation of "Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data" (NeurIPS'23)
  ☆15Updated last year
• rahimentezari / PermutationInvariance
  ☆23Updated 2 years ago
• wang-kee / LiNeS
  Official repository of "LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging"
  ☆29Updated 7 months ago
• singlasahil14 / salient_imagenet
  Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?
  ☆40Updated 2 years ago
• sidak / otfusion
  Model Fusion via Optimal Transport, NeurIPS 2020
  ☆145Updated 2 years ago
• locuslab / acr-memorization
  ☆35Updated 6 months ago
• stanfordnlp / axbench
  Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
  ☆95Updated 3 weeks ago
• vasusingla / simple-data-attribution
  A simple and efficient baseline for data attribution
  ☆11Updated last year