大麦自动抢票，支持人员、城市、日期场次、价格选择

猫抓 浏览器资源嗅探扩展 / cat-catch Browser Resource Sniffing Extension

manim中文入门教程

🥢像老乡鸡🐔那样做饭。主要部分于2024年完工，非老乡鸡官方仓库。文字来自《老乡鸡菜品溯源报告》，并做归纳、编辑与整理。CookLikeHOC.

Animation engine for explanatory math videos

An ensemble learning method for EEG classification in RSVP tasks

Offical repository of the paper "EEG-DG：A Multi-Source Domain Generalization Framework for Motor Imagery EEG Classification" .

Public code for "Domain Generalization through Latent Distribution Exploration for Motor Imagery EEG Classification"

gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI

A hex editor for WeChat/QQ/TIM - PC版微信/QQ/TIM防撤回补丁（我已经看到了，撤回也没用了）

Code for IMUPoser: Full-Body Pose Estimation using IMUs in Phones, Watches, and Earbuds

Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

算法工程师-机器学习面试题总结

A Random Matrix Approach for Random Feature Maps

Automated rejection and repair of bad trials/sensors in M/EEG

EEG Benchmark Tool: An open-source Python script for automated EEG signal quality assessment. Calculates SNR, CMRR proxy, and Alpha Power Ratio using MNE-Python, based on principles from "Analyzing…

A deep learning framework for physiological data processing and understanding.

An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning

Wearable (BLE) Brain-Computer Interface, ADS1299 and STM32 with SDK for mobile application

A jupyter notebook that explains how to plot OpenBCI data

A cross platform application for the OpenBCI Cyton and Ganglion. Tested on Mac, Windows and Ubuntu/Mint Linux.

The Python software library designed to work with OpenBCI hardware.

Documentation for OpenBCI!

Examples of using OpenBCI boards with MNE

This project focuses on data preprocessing and epilepsy seizure prediction using the CHB-MIT EEG dataset. It includes steps like data cleansing, feature extraction, and handling imbalanced datasets…

The project is about applying CNNs to EEG data from CHB-MIT to predict seizure