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Leetcode-Data-Structures-Algorithms
A repository consists of the solutions of leetcode problems, basic theoretical knowledge of data structures and algorithms.Machine-Learning-Algorithms
Share some notes and codes summarized by myself! The features of these notes are refined, organized and easy-understand!Credit-Card-Number-Recognition
A computer vision project about number recognition of credit card is achieved by OpenCV.Deep-Learning-Coursera
Share some notes after taking deeplearning.ai on coursera. The features of these notes are refined, organized and easy-understand!Credit-Card-Fraud-Detection
A project is built to predict that user's current transaction record is normal or abnormal based on previous transaction records.CoDiCast
Data-Augmentation-by-Image-Transforms
A summary of image transformations is done with Pytorch, which implements data augmentation to improve generalization ability.Time-Series-Forecasting-Deep-Learning
Apply different deep learning models for time series forecasting and compare their corresponding performance.Music-Recommendation-System
A music recommendation system is built with two solutions: similarity computation and Singular Value Decomposition (SVD).Web-Scraping-by-Python
An introduction to web-scraping including `requests`, `bf4` and `newspaper` modules.FIDLAR
DL-WaLeF
Official codes for "Deep Learning Models for Water Stage Prediction in South Florida."License-Plate-Recognition-Using-OpenCV
This is a project that detects Chinese license plate using OpenCV and Python.ParaRCNN-Time-Series-Forecasting
Official codes for "Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting" accepted by AALTD workshop at ECML-PKDD 2023.Classification-Model-of-RMB-Image
An image classification model of RMB (1οΏ₯, 100οΏ₯) using Pytorch. A couple of real life data have been tested with a good accuracy.FloodGTN_Prediction
This is official codes for the paper "Graph Transformer Network for Flood Forecasting with Heterogeneous Covariates".Love Open Source and this site? Check out how you can help us