Alternatives and similar repositories for LookSAM

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

• MarlonBecker / MSAM
  ☆21Updated 2 years ago
• andyjm3 / SLTrain
  SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)
  ☆39Updated last year
• AngusDujw / SAF
  ☆35Updated 3 years ago
• yolky / RFAD
  Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"
  ☆37Updated 2 years ago
• dydjw9 / Efficient_SAM
  ☆58Updated 2 years ago
• TrustAIoT / CR-SAM
  Code for AAAI 2024 paper: CR-SAM: Curvature Regularized Sharpness-Aware Minimization
  ☆13Updated last year
• tml-epfl / understanding-sam
  Towards Understanding Sharpness-Aware Minimization [ICML 2022]
  ☆38Updated 3 years ago
• pilancilab / Riemannian_Preconditioned_LoRA
  source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"
  ☆33Updated last year
• nblt / RWP
  ☆11Updated 3 years ago
• MohammadrezaBanaei / LoRA-XS
  LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
  ☆45Updated 5 months ago
• OPTML-Group / DeepZero
  [ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Di…
  ☆70Updated last year
• gortizji / linearized-networks
  Source code of "What can linearized neural networks actually say about generalization?
  ☆20Updated 4 years ago
• themrzmaster / git-re-basin-pytorch
  Git Re-Basin: Merging Models modulo Permutation Symmetries in PyTorch
  ☆78Updated 2 years ago
• Mi-Peng / Sparse-Sharpness-Aware-Minimization
  [NeurIPS 2022] Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach -- Official Implementation
  ☆47Updated 2 years ago
• IBM / model-reprogramming
  Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>
  ☆65Updated 4 months ago
• somepago / DCR
  Official Pytorch repo of CVPR'23 and NeurIPS'23 papers on understanding replication in diffusion models.
  ☆113Updated 2 years ago
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated 2 years ago
• epfml / REQ
  ☆19Updated last year
• mueller-mp / SAM-ON
  ☆34Updated last year
• pomonam / jax-influence
  A simple Jax implementation of influence functions.
  ☆20Updated last year
• ZichenMiao / CL_Atom_Swapping
  ICLR 2022 (Spolight): Continual Learning With Filter Atom Swapping
  ☆16Updated 2 years ago
• nblt / F-SAM
  [CVPR 2024] Friendly Sharpness-Aware Minimization
  ☆35Updated last year
• zhaoyang-0204 / gnp
  gradient norm penalty
  ☆41Updated last year
• boone891214 / MEST
  [NeurIPS‘2021] "MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge", Geng Yuan, Xiaolong Ma, Yanzhi Wang et al…
  ☆18Updated 3 years ago
• LIONS-EPFL / scion
  ☆52Updated last month
• stephane-rivaud / ForwardLocalGradient
  This is the official implementation of the ICML 2023 paper - Can Forward Gradient Match Backpropagation ?
  ☆12Updated 2 years ago
• lzhangbv / eva
  [ICLR 2023] Eva: Practical Second-order Optimization with Kronecker-vectorized Approximation
  ☆12Updated 2 years ago
• MaximeRobeyns / bayesian_lora
  Bayesian Low-Rank Adaptation for Large Language Models
  ☆36Updated last year
• ehuynh1106 / TinyImageNet-Transformers
  Transformers trained on Tiny ImageNet
  ☆60Updated 5 months ago
• vasusingla / simple-data-attribution
  A simple and efficient baseline for data attribution
  ☆11Updated 2 years ago