google-research / samLinks
☆619Updated 3 weeks ago
Alternatives and similar repositories for sam
Users that are interested in sam are comparing it to the libraries listed below
Sorting:
- A LARS implementation in PyTorch☆352Updated 5 years ago
- Compare neural networks by their feature similarity☆378Updated 2 years ago
- SAM: Sharpness-Aware Minimization (PyTorch)☆1,959Updated 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!)☆538Updated last year
- Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch☆351Updated 2 years ago
- Open-source code for paper "Dataset Distillation"☆820Updated 7 months ago
- Code for Neural Architecture Search without Training (ICML 2021)☆474Updated 4 years ago
- Implementation of ConvMixer for "Patches Are All You Need? 🤷"☆1,081Updated 3 years ago
- PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks☆771Updated 6 months ago
- ☆228Updated last year
- Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)☆358Updated 9 months ago
- Tiny PyTorch library for maintaining a moving average of a collection of parameters.☆444Updated last year
- Reproduce CKA: Similarity of Neural Network Representations Revisited☆311Updated 5 years ago
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆334Updated 3 years ago
- Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper☆780Updated 3 years ago
- ☆194Updated 3 weeks ago
- PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 wit…☆206Updated last year
- This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks"…☆342Updated 2 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆989Updated 8 months ago
- NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/☆350Updated 2 years ago
- ☆341Updated 6 months ago
- A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quan…☆652Updated 2 years ago
- PyTorch implementation of Barlow Twins.☆1,003Updated 3 years ago
- Corruption and Perturbation Robustness (ICLR 2019)☆1,128Updated 3 years ago
- Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)☆516Updated 3 years ago
- An All-MLP solution for Vision, from Google AI☆1,056Updated 6 months ago
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning☆283Updated 2 years ago
- (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"☆823Updated 3 years ago
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆432Updated 2 years ago
- PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results☆211Updated last year