Play deep learning with CIFAR datasets
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Updated
Aug 27, 2020 - Python
Play deep learning with CIFAR datasets
Collection of Keras models used for classification
Wide Residual Networks (WideResNets) in PyTorch
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
Wide Residual Networks in Keras
A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)
Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation)
A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification
Various CNN models for CIFAR10 with Chainer
Handwritten digit recognition with MNIST & Keras
Keras Implementation Residual Attention Network
Wide Residual Networks implemented in TensorLayer and TensorFlow.
Residual Network of Residual Networks in Keras
Deep Learning big homework of UCAS
Tensorflow - Very Deep Convolutional Neural Networks For Raw Waveforms - https://arxiv.org/pdf/1610.00087.pdf
Modified Residual U-Net (ResUnet) for Image Segmentation
Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"
Source code of paper: (not available now)
Caffe Wide-Residual-Network (WRN) Generator
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