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Garen-Wang
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使深信服（Sangfor）开发的非自由的 VPN 软件 EasyConnect 和 aTrust 运行在 docker 或 podman 中，并作为网关和/或提供 socks5、http 代理服务
Scripts to optimize NJU EasyConnect client routing rules.
A list of awesome papers and cool resources on WiFi CSI sensing.
Extract Channel State Information from WiFi-enabled ESP32 Microcontroller. Active and Passive modes available. (https://stevenmhernandez.github.io/ESP32-CSI-Tool/)
This repository provides the implementation of the MobiCom 23 Workshop's (WiNTECH 23) paper-- Wi-BFI
适用于联想拯救者 R7000P（2020款）的预配置 OpenCore EFI。 Might compatible with Legion 5-15ARH05H.
A PyTorch Library for Multi-Task Learning
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
[Neurips 2023] Generating Mario Levels with GPT2. Code for the paper "MarioGPT: Open-Ended Text2Level Generation through Large Language Models" https://arxiv.org/abs/2302.05981
Dataset and source code for "CEAP-360VR: A Continuous Physiological and Behavioral Emotion Annotation Dataset for 360° Videos" in IEEE Transactions in Multimedia
AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
A Multi-modal Natural Behavior Dataset of Immersive Human Fear Responses in VR Stand-up Interactive Games
5
Updated Jan 23, 2024
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementation.
PyTEAP: A Python implementation of Toolbox for Emotion Analysis using Physiological signals (TEAP).
Toolbox for Emotion Analysis using Physiological signals
Supplementary repository for the Emognition Wearable Dataset 2020
ruoyi-vue-pro 全新 Cloud 版本，优化重构所有功能。基于 Spring Cloud Alibaba + MyBatis Plus + Vue & Element 实现的后台管理系统 + 用户小程序，支持 RBAC 动态权限、多租户、数据权限、工作流、三方登录、支付、短信、商城、CRM、ERP、AI 大模型等功能。你的 ⭐️ Star ⭐️，是作者生发的动力！
POPANE DATASET - Psychophysiology Of Positive And Negative Emotions - supplemental materials
Supplementary codes for the K-EmoCon dataset
Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction
PyTorch implementation of the models described in the IEEE ICASSP 2022 paper "Is cross-attention preferable to self-attention for multi-modal emotion recognition?"
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition