depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile.

2023春季《科技实习与创新》课程项目：基于Django的心电监测系统的服务端模块。完成了与心电心音采集的客户端数据交互，调用模型分析患者的心电心音数据和对患者、模型、医院等信息的管理

Code to load physiological signals from online datasets

Public repository associated with "Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL"

东南大学 硕士毕业论文 Latex 模版 网络空间安全学院

📌 异步线程池框架，支持线程池动态变更&监控&报警，无需修改代码轻松引入。Asynchronous thread pool framework, support Thread Pool Dynamic Change & monitoring & Alarm, no need to modify the code easily introduced.

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Various translations of OSTEP can be found here. Help the cause and contribute!

Supported Models: MobileNet [V1, V2, V3_Small, V3_Large] (Both 1D and 2D versions with DEMO, for Classification and Regression)

ECG arrhythmia classification using a 2-D convolutional neural network

Popular ECG QRS detectors written in python

data for Multistep Electric Vehicle Charging Station Occupancy Prediction using Mixed-LSTM Neural Networks

time series analysis tutorial

量化交易：python3

数据科学的笔记以及资料搜集

深度学习与PyTorch入门实战视频教程 配套源代码和PPT