leaderj1001 / Stand-Alone-Self-AttentionLinks
Implementing Stand-Alone Self-Attention in Vision Models using Pytorch
☆455Updated 5 years ago
Alternatives and similar repositories for Stand-Alone-Self-Attention
Users that are interested in Stand-Alone-Self-Attention are comparing it to the libraries listed below
Sorting:
- Implementing Attention Augmented Convolutional Networks using Pytorch☆654Updated 3 years ago
- Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.☆596Updated 4 years ago
- This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)☆456Updated 4 years ago
- PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models☆294Updated 5 years ago
- Unofficial PyTorch Reimplementation of RandAugment.☆637Updated 2 years ago
- Exploring Self-attention for Image Recognition, CVPR2020.☆752Updated 5 years ago
- Source code for "On the Relationship between Self-Attention and Convolutional Layers"☆1,103Updated 2 years ago
- Compute CNN receptive field size in pytorch in one line☆360Updated last year
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆989Updated 9 months ago
- PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers☆226Updated 4 years ago
- Standardizing weights to accelerate micro-batch training☆549Updated 3 years ago
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale☆296Updated 3 years ago
- Pytorch implementation of newly added convolution☆586Updated 5 years ago
- torchsummaryX: Improved visualization tool of torchsummary☆303Updated 3 years ago
- PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆493Updated 3 years ago
- ☆519Updated last year
- Unsupervised Feature Learning via Non-parametric Instance Discrimination☆755Updated 4 years ago
- How to use Cross Replica / Synchronized Batchnorm in Pytorch☆247Updated 6 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆799Updated last year
- Implements https://arxiv.org/abs/1711.05101 AdamW optimizer, cosine learning rate scheduler and "Cyclical Learning Rates for Training Neu…☆149Updated 5 years ago
- Pytorch version of Vision Transformer (ViT) with pretrained models. This is part of CASL (https://casl-project.github.io/) and ASYML proj…☆353Updated 4 years ago
- A New Optimization Technique for Deep Neural Networks☆537Updated 3 years ago
- Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorc…☆305Updated 3 years ago
- Implementing Lambda Networks using Pytorch☆140Updated 4 years ago
- A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."☆313Updated 5 years ago
- Implementation of Bottleneck Transformer in Pytorch☆678Updated 3 years ago
- A Pytorch Implementation of the following paper "Visual Transformers: Token-based Image Representation and Processing for Computer Vision…☆182Updated 4 years ago
- Code for the Convolutional Vision Transformer (ConViT)☆466Updated 3 years ago
- NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/☆347Updated last year
- PyTorch implementation of Non-Local Neural Networks (https://arxiv.org/pdf/1711.07971.pdf)☆251Updated 2 years ago