机器学习/深度学习

Heart-Disease-Prediction A project that predicts whether a person is suffering from heart disease...
450Python机器学习/深度学习
Deep Learning Specialization on Coursera Instructor: Andrew Ng Just completed Deep Learning Speci...
500Python机器学习/深度学习
Stanford CS229 Machine Learning in Python This repository contains the problem sets as well as th...
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Disclaimer: This project is not under active development anymore Project Fib In the current media...
440Python机器学习/深度学习
Virgilio Data Science Virgilio is an open-source initiative, aiming to mentor and guide anyone in...
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Jupyter notebooks for the book "The Elements of Statistical Learning". This repository contains J...
780Python机器学习/深度学习
Complete-Data-Science-Toolkits The overall objective of this toolkit is to provide and offer a fr...
430Python机器学习/深度学习
Bitcoin price prediction An implementation of the 'Bayesian regression for latent source model' m...
670Python机器学习/深度学习
Machine Learning Projects This repository contains mini projects in machine learning with jupyter...
510Python机器学习/深度学习
gym-forex The Forex environment is a forex trading simulator featuring: configurable initial capi...
460Python机器学习/深度学习
Now I have a personal website! Data science portfolio by Andrey Lukyanenko This portfolio is a co...
530Python机器学习/深度学习
Data Science Virtual Machine The Data Science Virtual Machine (DSVM) is a customized VM image on ...
520Python机器学习/深度学习
Practical Deep Learning for Coders Deep Learning for Coders with fastai and PyTorch: AI Applicati...
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NoteBooks Statistics and Machine Learning Notebooks as published on unsupervised-learning.com (RIP).
660Python机器学习/深度学习
A Hands-on Introduction to Natural Language Processing (NLP) About this course This course was cr...
430Python机器学习/深度学习
人脸识别源文件源码
1. 软件面向的行业和业务场景(25%) 本项目主要面向 安防监控、智能考勤、身份认证、智慧零售 等行业,提供高效、轻量级的人脸识别解决方案。其主要应用场景包括: 安防监控:在公共场所(如商场、地铁、机场)进行人脸检测,实现异常行为预警和黑名单人员筛查。 智能考勤:在企业、学校等场景中,实现无感考勤,提高管理效率。 身份认证:用于门禁系统、智能支付、在线身份验证等,提高安全性和便利性。 智慧零售:通过人脸识别分析客户行为,优化商品摆放,提高用户体验。 2. 主要功能模块及用户体验(50%) 本项目采用 YOLO(You Only Look Once) 作为人脸检测模型,并基于 ncnn 框架 进行优化和部署。系统主要包括以下功能模块: 人脸检测模块 采用 YOLO 进行高效人脸检测 适应不同光照、角度、遮挡等复杂场景 提供实时检测能力,支持视频流处理 人脸特征提取与比对 通过深度学习提取人脸特征向量 提供 1:N(搜索)和 1:1(身份验证)比对模式 低计算成本,实现快速匹配 人脸数据库管理 用户可添加、删除、更新人脸数据 支持本地数据库和远程存储 提供 API 供第三方系统
470C/C++机器学习/深度学习
本项目旨在开发一种基于脑电图(EEG)、语音和面部信息等生理信息的更准确的多模态情绪检测方法,以提 高心理健康领域诊断和治疗的可靠性。目前项目进展到参考论文代码复现阶段,采用FOCAL框架进行多模态融 合。后期将针对脑电与语音模态对代码进行修改,重新训练模型。
970python机器学习/深度学习
MITIE: MIT Information Extraction This project provides free (even for commercial use) state-of-t...
640Python机器学习/深度学习
TensorFlow Examples This tutorial was designed for easily diving into TensorFlow, through example...
470Python机器学习/深度学习
Unofficial Google Colaboratory Notebook and Repository Gallery Please contact me to take over and...
500Python机器学习/深度学习
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