google-research / receptive_field
Compute receptive fields of your favorite convnets
☆439Updated 3 years ago
Alternatives and similar repositories for receptive_field:
Users that are interested in receptive_field are comparing it to the libraries listed below
- Gradient based receptive field estimation for Convolutional Neural Networks☆338Updated 5 years ago
- Compute CNN receptive field size in pytorch in one line☆357Updated 10 months ago
- Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!☆377Updated 2 years ago
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆345Updated 4 years ago
- Standardizing weights to accelerate micro-batch training☆547Updated 3 years ago
- high performance image loading and augmenting routines mimicking PIL.Image interface☆319Updated 3 years ago
- PyTorch layer-by-layer model profiler☆606Updated 3 years ago
- Provides everything needed for high performance data loading and augmentation in pytorch.☆319Updated last year
- A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."☆310Updated 5 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆984Updated 7 months ago
- OpenCV implementation of Torchvision's image augmentations☆377Updated 3 years ago
- PyTorch dataset extended with map, cache etc. (tensorflow.data like)☆328Updated 2 years ago
- PyTorch Boilerplate For Research☆609Updated 3 years ago
- Discover augmentation strategies tailored for your dataset☆249Updated 4 years ago
- Useful PyTorch functions and modules that are not implemented in PyTorch by default☆187Updated 10 months ago
- Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural N…☆302Updated 4 years ago
- A New Optimization Technique for Deep Neural Networks☆535Updated 3 years ago
- Pretrained bag-of-local-features neural networks☆312Updated 5 years ago
- Semi-supervised ImageNet1K models☆243Updated 5 years ago
- Scaling and Benchmarking Self-Supervised Visual Representation Learning☆585Updated 3 years ago
- This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423☆1,039Updated 3 years ago
- Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)☆473Updated 3 months ago
- Streaming over lightweight data transformations☆266Updated 4 months ago
- Code snippets created for the PyTorch discussion board☆557Updated 4 years ago
- Efficient Learning of Augmentation Policy Schedules☆505Updated 5 years ago
- Labels and other data for the paper "Are we done with ImageNet?"☆190Updated 3 years ago
- Deep Learning Experiment Management☆640Updated 2 years ago
- Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)☆218Updated this week
- Example code showing how to use Nvidia DALI in pytorch, with fallback to torchvision. Contains a few differences to the official Nvidia …☆197Updated 5 years ago
- Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improv…☆794Updated last year