nnnnmj

Pinned Repositories

AttnSense-pytorch
implementation attempt of "AttnSense: Multi-level Attention Mechanism For Multimodal Human Activity Recognition"
Language:Jupyter Notebook10
ADBench
Official Implement of "ADBench: Anomaly Detection Benchmark".
Language:Python00
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Language:JavaScript00
gCastle
trustworthy AI related projects
Language:Python00
nnnnmj
Config files for my GitHub profile.
00
PyTorch-DAGMM
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
Language:Jupyter Notebook00
RNN-Time-series-Anomaly-Detection
RNN based Time-series Anomaly detector model implemented in Pytorch.
Language:Python00
Sensor-Based-Human-Activity-Recognition-DeepConvLSTM-Pytorch
DeepConvLSTM model for sensor-based human activity recognition in Pytorch
Language:Python00
tods
TODS: An Automated Time-series Outlier Detection System
Language:Python00
Wifi_Activity_Recognition
Code for IEEE Communication Magazine (A Survey on Behaviour Recognition Using WiFi Channle State Information)
Language:Jupyter Notebook00

nnnnmj's Repositories

nnnnmj/nnnnmj
Config files for my GitHub profile.
nnnnmj/RNN-Time-series-Anomaly-Detection
RNN based Time-series Anomaly detector model implemented in Pytorch.
Language:Python
nnnnmj/AttnSense-pytorch
implementation attempt of "AttnSense: Multi-level Attention Mechanism For Multimodal Human Activity Recognition"
Language:Jupyter Notebook1
nnnnmj/gCastle
trustworthy AI related projects
Language:Python
nnnnmj/ADBench
Official Implement of "ADBench: Anomaly Detection Benchmark".
nnnnmj/tods
TODS: An Automated Time-series Outlier Detection System
nnnnmj/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
nnnnmj/Wifi_Activity_Recognition
Code for IEEE Communication Magazine (A Survey on Behaviour Recognition Using WiFi Channle State Information)
nnnnmj/PyTorch-DAGMM
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
nnnnmj/Sensor-Based-Human-Activity-Recognition-DeepConvLSTM-Pytorch
DeepConvLSTM model for sensor-based human activity recognition in Pytorch