google-research / receptive_fieldLinks
Compute receptive fields of your favorite convnets
☆449Updated 4 years ago
Alternatives and similar repositories for receptive_field
Users that are interested in receptive_field are comparing it to the libraries listed below
Sorting:
- Gradient based receptive field estimation for Convolutional Neural Networks☆342Updated 5 years ago
- Compute CNN receptive field size in pytorch in one line☆367Updated last year
- Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!☆378Updated 3 years ago
- Provides everything needed for high performance data loading and augmentation in pytorch.☆319Updated 2 years ago
- high performance image loading and augmenting routines mimicking PIL.Image interface☆319Updated 4 years ago
- Estimates the size of a PyTorch model in memory☆359Updated 5 years ago
- A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."☆315Updated 6 years ago
- Standardizing weights to accelerate micro-batch training☆549Updated 3 years ago
- Useful PyTorch functions and modules that are not implemented in PyTorch by default☆190Updated last year
- High-level batteries-included neural network training library for Pytorch☆403Updated 3 years ago
- Code snippets created for the PyTorch discussion board☆570Updated 4 years ago
- ☆537Updated 4 years ago
- Over9000 optimizer☆424Updated 3 years ago
- Efficient Learning of Augmentation Policy Schedules☆508Updated 6 years ago
- PyTorch Boilerplate For Research☆608Updated 3 years ago
- Visualization toolkit for neural networks in PyTorch! Demo -->☆743Updated 2 years ago
- PyTorch code for the "Deep Neural Networks with Box Convolutions" paper☆510Updated 5 years ago
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆348Updated 5 years ago
- NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/☆350Updated last year
- Visualisation tool for CNNs in pytorch☆254Updated 3 years ago
- Semi-supervised ImageNet1K models☆246Updated 6 years ago
- PyTorch dataset extended with map, cache etc. (tensorflow.data like)☆332Updated 3 years ago
- OpenCV implementation of Torchvision's image augmentations☆378Updated 4 months ago
- This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423☆1,044Updated 4 years ago
- A journey into Convolutional Neural Network visualization☆272Updated 6 years ago
- Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.☆594Updated 5 years ago
- Discover augmentation strategies tailored for your dataset☆250Updated last month
- ☆182Updated 2 years ago
- ☆219Updated 4 years ago
- Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)☆478Updated last year