Pytorch implementation of ResUnet and ResUnet ++
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Updated
Sep 7, 2020 - Python
Pytorch implementation of ResUnet and ResUnet ++
Using convolutional neural networks to build and train a bird species classifier on bird song data with corresponding species labels.
Spectrogram is selected as preprocessing feature of audio clips and a feature representation method based on deep residual network (Spec-ResNet) is proposed to detect audio steganography.
Implementation of some popular CNNs (VGG-Net, Res-Net, Mobile-Net) for image classification on CIFAR-10 dataset with PyTorch library
A deep residual network implementing separable convolution to diagnose Pneumonia from CXR images
Classifying objects into 10 classes using Convolutional and Residual Nets.
3d_rigid_body is a hybrid C++ and Python project for simulating and predicting 3D rigid body dynamics.
Implementation of deep residual networks with inception bottleneck in Lasagne
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