devansh20la / LPF-SGD

Related projects ⓘ

Alternatives and complementary repositories for LPF-SGD

• nblt / TWA
  [ICLR 2023] Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions
  ☆27Updated last year
• AngusDujw / SAF
  ☆32Updated last year
• nblt / DLDR
  [TPAMI 2023] Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces
  ☆39Updated 2 years ago
• nblt / RWP
  ☆11Updated last year
• tml-epfl / sam-low-rank-features
  Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]
  ☆25Updated last year
• mueller-mp / SAM-ON
  ☆32Updated 9 months ago
• nsfzyzz / loss_landscape_taxonomy
  [NeurIPS 2021] code for "Taxonomizing local versus global structure in neural network loss landscapes" https://arxiv.org/abs/2107.11228
  ☆18Updated 2 years ago
• justincui03 / dc_benchmark
  ☆81Updated last year
• ehuynh1106 / TinyImageNet-Transformers
  Transformers trained on Tiny ImageNet
  ☆47Updated 2 years ago
• streethagore / ForwardLocalGradient
  This is the official implementation of the ICML 2023 paper - Can Forward Gradient Match Backpropagation ?
  ☆10Updated last year
• tml-epfl / understanding-sam
  Towards Understanding Sharpness-Aware Minimization [ICML 2022]
  ☆35Updated 2 years ago
• jayroxis / CKA-similarity
  An Numpy and PyTorch Implementation of CKA-similarity with CUDA support
  ☆83Updated 3 years ago
• MarlonBecker / MSAM
  ☆15Updated 9 months ago
• dedeswim / vits-robustness-torch
  Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]
  ☆52Updated last year
• verbose-void / rigl-torch
  Lightweight torch implementation of rigl, a sparse-to-sparse optimizer.
  ☆55Updated 2 years ago
• RulinShao / on-the-adversarial-robustness-of-visual-transformer
  Code for the paper "On the Adversarial Robustness of Visual Transformers"
  ☆55Updated 2 years ago
• x-zho14 / ProbMask-official
  Implementation of Effective Sparsification of Neural Networks with Global Sparsity Constraint
  ☆28Updated 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 11 months ago
• VITA-Group / Alleviate-Robust-Overfitting
  [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…
  ☆46Updated 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…
  ☆170Updated 9 months ago
• zju-vipa / Fast-Datafree
  [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation
  ☆67Updated 2 years ago
• inspire-group / hydra
  Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (ht…
  ☆90Updated last year
• dydjw9 / Efficient_SAM
  ☆58Updated last year
• juntang-zhuang / GSAM
  PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)
  ☆138Updated 2 years ago
• imrahulr / adversarial_robustness_pytorch
  Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…
  ☆92Updated 2 years ago
• MingSun-Tse / Smile-Pruning
  A generic code base for neural network pruning, especially for pruning at initialization.
  ☆30Updated 2 years ago
• snu-mllab / Efficient-Dataset-Condensation
  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
  ☆104Updated last year
• danielchyeh / ImageNet-100-Pytorch
  (Pytorch) Training ResNets on ImageNet-100 data
  ☆52Updated 2 years ago
• weizeming / SAM_AT
  ☆19Updated 5 months ago
• varun19299 / rigl-reproducibility
  Reproducing RigL (ICML 2020) as a part of ML Reproducibility Challenge 2020
  ☆26Updated 2 years ago