shuentang
I am a student who loves programming. I think python language is simple and easy to implement, and has a very concise and efficient dynamic processing method. P
无
shuentang's Stars
zju3dv/EasyMocap
Make human motion capture easier.
Xinyu-Yi/PIP
A real-time system that captures physically correct human motion, joint torques, and ground reaction forces with only 6 inertial measurement units
Answeror/srep
Gesture Recognition by Instantaneous Surface EMG Images
ketyi/Deep-2SRNN
Deep, sequential, transductive divergence metric and domain adaptation for time-series classifiers
c-labpl/qrs_detector
Python Online and Offline ECG QRS Detector based on the Pan-Tomkins algorithm
lxdv/ecg-classification
ECG Arrhythmia classification using CNN
MIT-LCP/wfdb-python
Native Python WFDB package
nikhil-garg/EMG_exp
This is the code for the paper Signals to Spikes for Neuromorphic Regulated Reservoir Computing and EMG Hand Gesture Recognition
LogicPi-cn/SerialMasterPyqt5
kainan-tek/PyCOM
A python GUI tool for serial communication
predict-idlab/sleep-linear
Do not sleep on traditional machine learning for sleep stage scoring
wangjinzhuo/wearables
xuhongv/PyQT5-Serial
基于PyQt5打造的一款跨平台的电脑串口调试助手(支持window、MacOS和Linux)
emadeldeen24/AttnSleep
[TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"
shuentang/SSM-
SSM整合(带案例)书籍增删查改
lxztju/pytorch_classification
利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码
Foreverzyz/SSM-
SSM整合(带案例)书籍增删查改
glitchwizard/opencv-python-free-course-code
https://www.youtube.com/watch?v=P4Z8_qe2Cu0 course from this
d2l-ai/d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
bubbliiiing/classification-pytorch
这是各个主干网络分类模型的源码,可以用于训练自己的分类模型。
Tiger59/Refactoring-Improving-the-Design-of-Existing-Code
TranslucentTB/TranslucentTB
A lightweight utility that makes the Windows taskbar translucent/transparent.
google-research/google-research
Google Research
pafoster/pyitlib
A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.
tony-mtz/CAM
VGG transfer learning and Class Activation Mapping
zhoubolei/CAM
Class Activation Mapping
mfederici/Multi-View-Information-Bottleneck
Implementation of Multi-View Information Bottleneck
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
drawbridge/keras-mmoe
A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
Pose-Group/DCPose
This is an official implementation of our CVPR 2021 paper "Deep Dual Consecutive Network for Human Pose Estimation" (https://openaccess.thecvf.com/content/CVPR2021/papers/Liu_Deep_Dual_Consecutive_Network_for_Human_Pose_Estimation_CVPR_2021_paper.pdf)