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sunshiding's Projects

gvcnn-pytorch icon gvcnn-pytorch

A PyTorch version group view convolution network. It is used in 3D classification and 3D retrieval.

gvcnn-tf icon gvcnn-tf

Group-View Convolutional Neural Networks for 3D Shape Recognition

hiddenlayer icon hiddenlayer

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

hpfn icon hpfn

Deep Multimodal Multilinear Fusion with High-order Polynomial Pooling

improved-gan-pytorch icon improved-gan-pytorch

Implemenation of Semi-Supervised Learning using GANs in PyTorch for MNIST and CIFAR-10 datasets

labelme icon labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

line icon line

This is an implementation of LINE(Large-scale information network embedding) algorithm.

listed-company-news-crawl-and-text-analysis icon listed-company-news-crawl-and-text-analysis

从新浪财经、每经网、金融界、**证券网、证券时报网上,爬取上市公司(个股)的历史新闻文本数据进行文本分析、提取特征集,然后利用SVM、随机森林等分类器进行训练,最后对实施抓取的新闻数据进行分类预测

low-rank-multimodal-fusion icon low-rank-multimodal-fusion

This is the repository for "Efficient Low-rank Multimodal Fusion with Modality-Specific Factors", Liu and Shen, et. al. ACL 2018. This repo will be populated shortly afterwards.

lr icon lr

基于LR的优化方法:梯度下降法,随机梯度下降法,牛顿法,LBFGS,BFGS

lstm_multi_modal_unet icon lstm_multi_modal_unet

Implementation of UNet, multi-modal U-Net, LSTM multi-modal Unet for BRATS15 dataset with Pytorch

m3dns icon m3dns

Source Code of Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport

make_voc2007 icon make_voc2007

制作自己的VOC2007数据集用于faster-rcnn目标检测模型训练

mcl-okd icon mcl-okd

[ICASSP-2021] Official implementations of Multi-view contrastive learning for online knowledge distillation (MCL-OKD)

mdr icon mdr

Multi-View Disentangled Representation

medicaldetectiontoolkit icon medicaldetectiontoolkit

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

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