Fangyh09 / pytorch-receptive-fieldLinks
Compute CNN receptive field size in pytorch in one line
☆365Updated last year
Alternatives and similar repositories for pytorch-receptive-field
Users that are interested in pytorch-receptive-field are comparing it to the libraries listed below
Sorting:
- Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.☆596Updated 5 years ago
- 🛠 Toolbox to extend PyTorch functionalities☆419Updated last year
- Gradient based receptive field estimation for Convolutional Neural Networks☆342Updated 5 years ago
- PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models☆293Updated 5 years ago
- Compute receptive fields of your favorite convnets☆447Updated 4 years ago
- Implementing Stand-Alone Self-Attention in Vision Models using Pytorch☆455Updated 5 years ago
- NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/☆349Updated last year
- This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)☆456Updated 4 years ago
- Standardizing weights to accelerate micro-batch training☆551Updated 3 years ago
- torchsummaryX: Improved visualization tool of torchsummary☆303Updated 3 years ago
- MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.☆698Updated 3 years ago
- Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)☆478Updated 11 months ago
- How to use Cross Replica / Synchronized Batchnorm in Pytorch☆247Updated 6 years ago
- PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief, PolyLoss, MobileOne). Oth…☆328Updated last week
- A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."☆313Updated 5 years ago
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆992Updated last year
- A New Optimization Technique for Deep Neural Networks☆541Updated 3 years ago
- This repository contains the source code of our work on designing efficient CNNs for computer vision☆415Updated last year
- Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'☆338Updated 4 years ago
- This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423☆1,045Updated 4 years ago
- PyTorch Implementation of Deformable Convolution☆288Updated 7 years ago
- ☆219Updated 4 years ago
- [BMVC2020 Best Paper Award] Official Implementation for Delving deeper into anti-aliasing in convnets☆195Updated 3 years ago
- PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers☆228Updated 4 years ago
- AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch☆312Updated 5 years ago
- PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss☆337Updated 3 years ago
- opencv reimplement for transforms in torchvision☆197Updated 2 years ago
- ☆325Updated 3 years ago
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale☆303Updated 4 years ago
- Example code showing how to use Nvidia DALI in pytorch, with fallback to torchvision. Contains a few differences to the official Nvidia …☆198Updated 5 years ago