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This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-e…
PyTorch implementation of AnimeGANv2
Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
class attendance software
Python script (and IPython notebook) to perform RFM analysis from customer purchase history data
使用卷积神经网络-长短期记忆网络（bi-LSTM）-注意力机制对股票收盘价进行回归预测。The convolution neural network, short-term memory network and attention mechanism are used to predict the closing price.
基于PyTorch&YOLOv4实现的口罩佩戴检测 ⭐ 自建口罩数据集分享
Pytorch implementation of AnimeGAN for fast photo animation
It is a project of detecting phishing websites which are main cause of cyber security attacks. It is done using Machine learning with Python
A deep learning model for surface water mapping based on satellite optical image.
Face/Beauty Rating with both the traditional ML approaches and Convolutional Neural Network Approach
基于互联网金融平台2015年度贷款数据完成信贷违约预测模型，该模型可以作为信贷平台预测违约借款人的参考
An Intrusion Detection System Based on Machine Learning
金融反欺诈预测系统，技术涉及Vue3、Flask、XGBoost等。本项目提供了完整的Web系统，系统功能包括信贷数据分析、信贷欺诈数据检测、用户历史预测记录、用户数据管理等。项目整体并不复杂，适合新手练手学习机器学习与Web系统的结合。
基于卷积神经网络的高斯朴素贝叶斯分类人脸表情识别
图像风格迁移算法CycleGAN复现练习, 基于PyTorch
基于RFM的航空公司客户价值聚类分析
Deep Model Intrusion Detection (IDS) Evaluation of NSL KDD and CIC IDS 2018 datasets.
This project classifies and detect malicious URLs using Machine Learning in a web application built with Flask and Next.js
My thesis project for person re-identification
DataCastle 大学生助学金精准资助预测（样本不均衡条件下的多分类任务）第7/352名解决方案
Created a fingerprint recognition system using siamese network via On-Shot Learning. It has a similar use case as that of a face-recognition system. This project also contains steps to retrain the …
Phishing Website detection with Machine Learning. This include flask server, chrome extension and machine learning for phishing website detection.
Simple Customer Segmentation Using Recency/Monetary Matrix (RFM) in Python
The primary goal of this project is to identify whether the inputted data by users contains SQLi vulnerabilities.