JimengShi/License-Plate-Recognition-Using-OpenCV

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Python
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MIT License
Created almost 4 years ago
Updated almost 4 years ago

JimengShi/License-Plate-Recognition-Using-OpenCV

JimengShi

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This is a project that detects Chinese license plate using OpenCV and Python.

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!

Jupyter Notebook

Credit-Card-Number-Recognition

A computer vision project about number recognition of credit card is achieved by OpenCV.

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Deep-Learning-Coursera

Share some notes after taking deeplearning.ai on coursera. The features of these notes are refined, organized and easy-understand!

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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.

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CoDiCast

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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.

Jupyter Notebook

Music-Recommendation-System

A music recommendation system is built with two solutions: similarity computation and Singular Value Decomposition (SVD).

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Web-Scraping-by-Python

An introduction to web-scraping including `requests`, `bf4` and `newspaper` modules.

FIDLAR

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DL-WaLeF

Official codes for "Deep Learning Models for Water Stage Prediction in South Florida."

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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.

Jupyter Notebook

Classification-Model-of-RMB-Image

An image classification model of RMB (1￥, 100￥) 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".

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Object-Detection-Using-YOLOv4

A project that detects cardboard and paper using YOLOv4 with Google drive. mAP is 98.36% on the condition of IoU = 0.5

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