Wide Residual Networks (WideResNets) in PyTorch
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Updated
Apr 29, 2021 - Python
Wide Residual Networks (WideResNets) in PyTorch
Caffe Wide-Residual-Network (WRN) Generator
[IJCNN 2025] WRN-YOLO: An Improved YOLO for Drone Detection using Wide ResNet | Top 3 in 8th Drone-vs-Bird Detection Challenge
Customizable implementation of several kind of residual neural network for image classification (ResNet, WRN, DenseNet, ...)
Standard & Adversarial Training of Wide Residual Networks (PyTorch Implementations)
A simple Wide ResNet implementation with Keras.
ResNet ver TorchVision for Tensorflow2
CIFAR-100 image classifier: WideResNet-28-10 + semantic-aware data augmentation (offline + online), MixUp/CutMix, weight EMA. 83.2% macro-F1.
Image Scene Classification of Multiclass using transfer learning
Deep Learning Models written in Tensorflow
Robust image classification under distribution shift using WideResNet-28-10, SWA, Mixup/CutMix, Test-Time Augmentation, and Pseudo-Label Refinement.
Experimented with and compared DFW neural network optimizer with SGD and ADAM on both vision and language tasks
Clean reproduction of PatchCore (Roth et al., CVPR 2022) on MVTec-AD with image-level AUROC, pixel-level AUROC, and pixel-level AUPRO. First in a series of visual anomaly detection reproductions.
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