Alternatives and similar repositories for sam

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

• SHI-Labs / Compact-Transformers
  Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)
  ☆534Updated 8 months ago
• davda54 / sam
  SAM: Sharpness-Aware Minimization (PyTorch)
  ☆1,897Updated last year
• kakaobrain / torchlars
  A LARS implementation in PyTorch
  ☆348Updated 5 years ago
• AntixK / PyTorch-Model-Compare
  Compare neural networks by their feature similarity
  ☆365Updated 2 years ago
• locuslab / convmixer
  Implementation of ConvMixer for "Patches Are All You Need? 🤷"
  ☆1,074Updated 2 years ago
• Alibaba-MIIL / ImageNet21K
  Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper
  ☆767Updated 2 years ago
• xxxnell / how-do-vits-work
  (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
  ☆818Updated 3 years ago
• facebookresearch / barlowtwins
  PyTorch implementation of Barlow Twins.
  ☆985Updated 3 years ago
• bethgelab / model-vs-human
  Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)
  ☆350Updated 2 months ago
• imbue-ai / self_supervised
  A Pytorch-Lightning implementation of self-supervised algorithms
  ☆540Updated 3 years ago
• marcellodebernardi / loss-landscapes
  Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch
  ☆335Updated last year
• google-research / task_adaptation
  ☆328Updated 2 months ago
• amirgholami / PyHessian
  PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
  ☆745Updated this week
• omihub777 / ViT-CIFAR
  PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 wit…
  ☆199Updated last year
• fadel / pytorch_ema
  Tiny PyTorch library for maintaining a moving average of a collection of parameters.
  ☆432Updated 9 months ago
• hendrycks / robustness
  Corruption and Perturbation Robustness (ICLR 2019)
  ☆1,086Updated 2 years ago
• lucidrains / mlp-mixer-pytorch
  An All-MLP solution for Vision, from Google AI
  ☆1,029Updated last week
• vballoli / nfnets-pytorch
  NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/
  ☆347Updated last year
• lukemelas / do-you-even-need-attention
  Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)
  ☆486Updated 4 years ago
• facebookresearch / convit
  Code for the Convolutional Vision Transformer (ConViT)
  ☆466Updated 3 years ago
• AndrewAtanov / simclr-pytorch
  PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results
  ☆206Updated last year
• allenai / hidden-networks
  ☆191Updated 4 years ago
• ssnl / dataset-distillation
  Open-source code for paper "Dataset Distillation"
  ☆810Updated 3 weeks ago
• facebookresearch / vicreg
  VICReg official code base
  ☆541Updated 2 years ago
• fastai / imagenette
  A smaller subset of 10 easily classified classes from Imagenet, and a little more French
  ☆1,046Updated 2 years ago
• google-research / augmix
  AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
  ☆990Updated last month
• sthalles / PyTorch-BYOL
  PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
  ☆493Updated 3 years ago
• yuanli2333 / CKA-Centered-Kernel-Alignment
  Reproduce CKA: Similarity of Neural Network Representations Revisited
  ☆305Updated 5 years ago
• moskomule / sam.pytorch
  A PyTorch implementation of Sharpness-Aware Minimization for Efficiently Improving Generalization
  ☆135Updated 4 years ago
• ganguli-lab / Synaptic-Flow
  ☆226Updated 11 months ago