Wide Residual Networks (WideResNets) in PyTorch
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Updated
Apr 29, 2021 - Python
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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
Image Scene Classification of Multiclass using transfer learning
CIFAR-100 image classifier: WideResNet-28-10 + semantic-aware data augmentation (offline + online), MixUp/CutMix, weight EMA. 83.2% macro-F1.
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
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