Alternatives and similar repositories for sam

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

• kakaobrain / torchlars
  A LARS implementation in PyTorch
  ☆349Updated 5 years ago
• 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!)
  ☆536Updated 8 months ago
• davda54 / sam
  SAM: Sharpness-Aware Minimization (PyTorch)
  ☆1,906Updated last year
• AntixK / PyTorch-Model-Compare
  Compare neural networks by their feature similarity
  ☆366Updated 2 years ago
• google-research / task_adaptation
  ☆330Updated last week
• bethgelab / model-vs-human
  Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)
  ☆350Updated 3 months ago
• Alibaba-MIIL / ImageNet21K
  Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper
  ☆768Updated 2 years ago
• locuslab / convmixer
  Implementation of ConvMixer for "Patches Are All You Need? 🤷"
  ☆1,076Updated 2 years ago
• marcellodebernardi / loss-landscapes
  Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch
  ☆337Updated last year
• facebookresearch / barlowtwins
  PyTorch implementation of Barlow Twins.
  ☆987Updated 3 years ago
• BayesWatch / nas-without-training
  Code for Neural Architecture Search without Training (ICML 2021)
  ☆471Updated 3 years ago
• yuanli2333 / CKA-Centered-Kernel-Alignment
  Reproduce CKA: Similarity of Neural Network Representations Revisited
  ☆306Updated 5 years ago
• hendrycks / robustness
  Corruption and Perturbation Robustness (ICLR 2019)
  ☆1,090Updated 2 years ago
• amirgholami / PyHessian
  PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
  ☆747Updated 3 weeks ago
• ssnl / dataset-distillation
  Open-source code for paper "Dataset Distillation"
  ☆811Updated last month
• xxxnell / how-do-vits-work
  (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
  ☆819Updated 3 years ago
• google-research / augmix
  AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
  ☆990Updated 2 months ago
• AndrewAtanov / simclr-pytorch
  PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results
  ☆208Updated last year
• fadel / pytorch_ema
  Tiny PyTorch library for maintaining a moving average of a collection of parameters.
  ☆434Updated 10 months ago
• allenai / hidden-networks
  ☆192Updated 4 years ago
• libffcv / ffcv-imagenet
  Train ImageNet *fast* in 500 lines of code with FFCV
  ☆144Updated last year
• lucidrains / mlp-mixer-pytorch
  An All-MLP solution for Vision, from Google AI
  ☆1,034Updated 3 weeks ago
• sthalles / PyTorch-BYOL
  PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
  ☆494Updated 3 years ago
• imbue-ai / self_supervised
  A Pytorch-Lightning implementation of self-supervised algorithms
  ☆541Updated 3 years ago
• 1adrianb / pytorch-estimate-flops
  Estimate/count FLOPS for a given neural network using pytorch
  ☆305Updated 3 years ago
• NVlabs / DeepInversion
  Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)
  ☆507Updated 2 years ago
• ganguli-lab / Synaptic-Flow
  ☆226Updated 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 / ppuda
  Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)
  ☆491Updated 2 years ago
• google-research / rigl
  End-to-end training of sparse deep neural networks with little-to-no performance loss.
  ☆324Updated 2 years ago