adobe / antialiased-cnnsLinks
pip install antialiased-cnns to improve stability and accuracy
☆1,679Updated last year
Alternatives and similar repositories for antialiased-cnns
Users that are interested in antialiased-cnns are comparing it to the libraries listed below
Sorting:
- Codebase for Image Classification Research, written in PyTorch.☆2,164Updated last year
- Synchronized Batch Normalization implementation in PyTorch.☆1,503Updated 4 years ago
- Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS☆1,581Updated last year
- Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute☆1,530Updated 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
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,610Updated 4 years ago
- In-Place Activated BatchNorm for Memory-Optimized Training of DNNs☆1,334Updated 2 months ago
- Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow☆1,489Updated 2 years ago
- A CV toolkit for my papers.☆2,051Updated 9 months ago
- Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10…☆869Updated 5 years ago
- Dilated Residual Networks☆1,105Updated 5 years ago
- My best practice of training large dataset using PyTorch.☆1,104Updated last year
- Code for paper☆560Updated 3 years ago
- ResNeSt: Split-Attention Networks☆3,264Updated 2 years ago
- Visualization toolkit for neural networks in PyTorch! Demo -->☆743Updated 2 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆988Updated 4 months ago
- On the Variance of the Adaptive Learning Rate and Beyond☆2,550Updated 4 years ago
- TorchCV: A PyTorch-Based Framework for Deep Learning in Computer Vision☆2,257Updated 4 years ago
- Code for the Lovász-Softmax loss (CVPR 2018)☆1,400Updated last year
- Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase☆1,203Updated last year
- An end-to-end PyTorch framework for image and video classification☆1,610Updated last year
- Official Pytorch implementation of CutMix regularizer☆1,246Updated 5 years ago
- PyTorch DataLoaders implemented with DALI for accelerating image preprocessing☆885Updated 5 years ago
- Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improv…☆805Updated 2 years ago
- Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.☆1,852Updated last year
- Standardizing weights to accelerate micro-batch training☆550Updated 3 years ago
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆992Updated 11 months ago
- A New Optimization Technique for Deep Neural Networks☆540Updated 3 years ago
- Pytorch implementation of newly added convolution☆587Updated 5 years ago
- [CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator☆1,314Updated 4 years ago