PyTorch implementation for 3D CNN models for medical image data (1 channel gray scale images).

Pytorch model zoo for human, include all kinds of 2D CNN, 3D CNN, and CRNN

Temporal-spatial Feature Learning of DCE-MR Images via 3DCNN

C3D-LSTM implementation in PyTorch [WACV 2019]

The project uses state of the art deep learning on collected data for automatic analysis of emotions.

Implementation of brand new video augmentation strategy for video action recognition with 3D CNN

Official repository for "Depth estimation from 4D light field videos", IWAIT 2021

3D CNN-LSTM model for hand gesture recognition

lung nodule classifier for 9 attribute

communication application to make Complete conversation with deaf people

A library of 3DCNN architectures with pre-trained models in TensorFlow 2.0

Approximating a 3DCNN with a 2DCNN

ACDFSL for Hyperspectral Image Classification

cnn_3d example

Optimization of 3D CNN models for automated deployment on FPGA devices

gesture recognition pytorch

Deep learning framework to predict functional effects of missense variants in human

Supervised segmentation of 3-dimensional images using a convolutional neural network.

For hyperspectral image/高光谱图像分类网络

Script to run train 3D CNN to predict tumour region-of-interest from 3D RSOM images.