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caffe

Caffe: a fast open framework for deep learning.

chainer-handson

ハンズオンの資料

convnet_transfer

Code for paper "How transferable are features in deep neural networks?"

dgcnn.pytorch

A PyTorch implementation for Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

fully-convolutional-networks

Fully Convolutional Networks for Portrait Matting

livianet

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

music4p3

MUltiband Satellite Imagery for object Classification (MUSIC) to detect Photovoltaic Power Plants

pcl

Point Cloud Library (PCL)

pointcnn

PointCNN

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

pointnet.pytorch

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

pointnet2.pytorch

python-pcl

Python bindings to the pointcloud library (pcl)

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

superpoint_graph

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

votenet

Deep Hough Voting for 3D Object Detection in Point Clouds