Pinned Repositories
AE2-Nets
code of AE^2-Nets （Autoencoder in Autoencoder Networks）
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
Deep-LIFT
GaitSet
A flexible, effective and fast cross-view gait recognition network
geodesic_continual_learning
This is a public repository for:
iiecas-kaoyan-bo-docs
中国科学院信息工程研究所考研保研考博文档资料
ML2021-Spring
李宏毅 (Hung-Yi Lee) 機器學習 Machine Learning 2021 Spring
NTU_ML2017_Hung-yi-Lee_HW
NTU ML2017 Spring and Fall Homework Hung-yi_Li 李宏毅老师 机器学习课程作业
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
RoNetTC
xueman-xm's Repositories
xueman-xm/AE2-Nets
code of AE^2-Nets （Autoencoder in Autoencoder Networks）
xueman-xm/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
xueman-xm/Deep-LIFT
xueman-xm/GaitSet
A flexible, effective and fast cross-view gait recognition network
xueman-xm/geodesic_continual_learning
This is a public repository for:
xueman-xm/iiecas-kaoyan-bo-docs
**科学院信息工程研究所考研保研考博文档资料
xueman-xm/ML2021-Spring
李宏毅 (Hung-Yi Lee) 機器學習 Machine Learning 2021 Spring
xueman-xm/NTU_ML2017_Hung-yi-Lee_HW
NTU ML2017 Spring and Fall Homework Hung-yi_Li 李宏毅老师 机器学习课程作业
xueman-xm/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
xueman-xm/SPL-MLL
Code of SPL-MLL (Selecting Predictable Landmarks for Multi-Label Learning)
xueman-xm/TPAMI_Gait_Identification
Repo for "Event-Stream Representation for Human Gaits Identification Using Deep Neural Networks"
xueman-xm/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
xueman-xm/xueman-xm
Config files for my GitHub profile.