epfml / attention-cnnLinks
Source code for "On the Relationship between Self-Attention and Convolutional Layers"
☆1,106Updated 2 years ago
Alternatives and similar repositories for attention-cnn
Users that are interested in attention-cnn are comparing it to the libraries listed below
Sorting:
- Implementing Attention Augmented Convolutional Networks using Pytorch☆654Updated 3 years ago
- Implementing Stand-Alone Self-Attention in Vision Models using Pytorch☆455Updated 5 years ago
- mixup: Beyond Empirical Risk Minimization☆1,185Updated 3 years ago
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆991Updated 9 months ago
- Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase☆1,202Updated last year
- [arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis☆1,324Updated 4 years ago
- A PyTorch Implementation of Focal Loss.☆986Updated 5 years ago
- Code for Noisy Student Training. https://arxiv.org/abs/1911.04252☆764Updated 4 years ago
- Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute☆1,533Updated 4 years ago
- A New Optimization Technique for Deep Neural Networks☆537Updated 3 years ago
- My best practice of training large dataset using PyTorch.☆1,099Updated last year
- torchsummaryX: Improved visualization tool of torchsummary☆303Updated 3 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆800Updated last year
- Exploring Self-attention for Image Recognition, CVPR2020.☆752Updated 5 years ago
- An All-MLP solution for Vision, from Google AI☆1,034Updated 3 weeks ago
- list of efficient attention modules☆1,013Updated 3 years ago
- [CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator☆1,313Updated 4 years ago
- Stochastic Weight Averaging in PyTorch☆973Updated 4 years ago
- Implementation of Bottleneck Transformer in Pytorch☆678Updated 3 years ago
- lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch☆337Updated 5 years ago
- Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.☆596Updated 5 years ago
- Keras implementation of Representation Learning with Contrastive Predictive Coding☆541Updated 6 years ago
- Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"☆1,063Updated 11 months ago
- PyTorch implementation of Contrastive Learning methods☆1,987Updated last year
- ☆1,141Updated 2 years ago
- Code snippets created for the PyTorch discussion board☆569Updated 4 years ago
- Unofficial PyTorch Reimplementation of RandAugment.☆636Updated 2 years ago
- Unsupervised Feature Learning via Non-parametric Instance Discrimination☆755Updated 4 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆990Updated 2 months ago
- Learning Rate Warmup in PyTorch☆410Updated last month