Alternatives and similar repositories for LPF-SGD:

Users that are interested in LPF-SGD are comparing it to the libraries listed below

• AngusDujw / SAF
  ☆35Updated 2 years ago
• nblt / RWP
  ☆11Updated 2 years ago
• mueller-mp / SAM-ON
  ☆34Updated last year
• tml-epfl / sam-low-rank-features
  Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]
  ☆27Updated last year
• yueb17 / DLTH
  ☆30Updated 3 years ago
• nblt / TWA
  [ICLR 2023] Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions
  ☆26Updated last month
• ehuynh1106 / TinyImageNet-Transformers
  Transformers trained on Tiny ImageNet
  ☆53Updated 2 years ago
• JeanKaddour / WASAM
  Weight-Averaged Sharpness-Aware Minimization (NeurIPS 2022)
  ☆28Updated 2 years ago
• nblt / DLDR
  [TPAMI 2023] Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces
  ☆40Updated 2 years ago
• dedeswim / vits-robustness-torch
  Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]
  ☆53Updated 2 years ago
• MarlonBecker / MSAM
  ☆18Updated last year
• dydjw9 / Efficient_SAM
  ☆57Updated 2 years ago
• hoonyyhoon / Synflow_SNIP_GraSP
  Comparison of method "Pruning at initialization prior to training" (Synflow/SNIP/GraSP) in PyTorch
  ☆15Updated 10 months ago
• justincui03 / dc_benchmark
  ☆84Updated 2 years ago
• verbiiyo / rigl-torch
  Lightweight torch implementation of rigl, a sparse-to-sparse optimizer.
  ☆56Updated 3 years ago
• jayroxis / CKA-similarity
  An Numpy and PyTorch Implementation of CKA-similarity with CUDA support
  ☆91Updated 3 years ago
• VITA-Group / GraNet
  [Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
  ☆31Updated 2 years ago
• Shiweiliuiiiiiii / In-Time-Over-Parameterization
  [ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, De…
  ☆46Updated last year
• yolky / RFAD
  Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"
  ☆37Updated 2 years ago
• omihub777 / ViT-CIFAR
  PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 wit…
  ☆181Updated last year
• snu-mllab / Efficient-Dataset-Condensation
  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
  ☆111Updated last year
• MingSun-Tse / Smile-Pruning
  A generic code base for neural network pruning, especially for pruning at initialization.
  ☆30Updated 2 years ago
• Mi-Peng / Sparse-Sharpness-Aware-Minimization
  [NeurIPS 2022] Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach -- Official Implementation
  ☆44Updated last year
• nblt / F-SAM
  [CVPR 2024] Friendly Sharpness-Aware Minimization
  ☆27Updated 4 months ago
• iamkanghyunchoi / qimera
  Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples [NeurIPS 2021]
  ☆31Updated 3 years ago
• mo666666 / When-Adversarial-Training-Meets-Vision-Transformers
  Official implementation of "When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture" published at Neur…
  ☆33Updated 5 months ago
• lolemacs / continuous-sparsification
  Implementation of Continuous Sparsification, a method for pruning and ticket search in deep networks
  ☆33Updated 2 years ago
• UCSC-VLAA / AdvXL
  [CVPR 2024] This repository includes the official implementation our paper "Revisiting Adversarial Training at Scale"
  ☆18Updated 10 months ago
• inspire-group / hydra
  Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (ht…
  ☆89Updated 2 years ago
• themrzmaster / git-re-basin-pytorch
  Git Re-Basin: Merging Models modulo Permutation Symmetries in PyTorch
  ☆75Updated 2 years ago