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
ASMMC2017 (an INTERSPEECH2017 satellite workshop) paper: Deep Residual Metric Learning for Human Re-identification in Video Surveillance-based Affective Computing / ASMMC2018 (an ACMMM 2018 satellite workshop) paper: Deep Full-scaled Metric Learning for Pedestrians Re-identification: A Pre-requisite Study on Multi-camera-based Affective Computing
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