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.

A deep learning-based method for hyperspectral image classification, which published in IEEE Trans. Geosci. Remote Sens., 2018.

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

Created by Mehmet Zahid Genç