google-research / sam
☆596Updated 5 months ago
Alternatives and similar repositories for sam:
Users that are interested in sam are comparing it to the libraries listed below
- SAM: Sharpness-Aware Minimization (PyTorch)☆1,861Updated last year
- A LARS implementation in PyTorch☆343Updated 5 years ago
- A PyTorch implementation of Sharpness-Aware Minimization for Efficiently Improving Generalization☆135Updated 4 years ago
- Compare neural networks by their feature similarity☆357Updated last year
- Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper☆760Updated 2 years ago
- Open-source code for paper "Dataset Distillation"☆799Updated this week
- PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks☆731Updated last year
- Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)☆343Updated this week
- Reproduce CKA: Similarity of Neural Network Representations Revisited☆299Updated 4 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆986Updated 3 weeks ago
- PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566☆1,189Updated 2 years ago
- Implementation of ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks, ICML 2021.☆141Updated 3 years ago
- Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)☆484Updated 3 years ago
- Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch☆326Updated last year
- NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/☆345Updated last year
- Train ImageNet *fast* in 500 lines of code with FFCV☆141Updated 11 months ago
- Corruption and Perturbation Robustness (ICLR 2019)☆1,065Updated 2 years ago
- Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)☆499Updated 2 years ago
- ☆324Updated 3 weeks ago
- Unofficial PyTorch Reimplementation of RandAugment.☆636Updated 2 years ago
- Implementation of ConvMixer for "Patches Are All You Need? 🤷"☆1,070Updated 2 years ago
- PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results☆203Updated 11 months ago
- A Pytorch-Lightning implementation of self-supervised algorithms☆537Updated 3 years ago
- Tiny PyTorch library for maintaining a moving average of a collection of parameters.☆428Updated 6 months ago
- ☆225Updated 8 months ago
- PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 wit…☆188Updated last year
- Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)☆522Updated 5 months ago
- An All-MLP solution for Vision, from Google AI☆1,017Updated 7 months ago
- PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆491Updated 2 years ago
- (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"☆813Updated 2 years ago