点云深度学习框架 | Point cloud Deep learning Framework
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Updated
May 10, 2021 - Python
点云深度学习框架 | Point cloud Deep learning Framework
Efficient Text Localization Algorithm, Image Inversion Detection of Scanned Documents & Language Identification based on Shape Context and Traditional Computer Vision.
The *Water Potability Classification* project leverages machine learning to classify water as potable or non-potable based on key physicochemical properties, aiming to enhance water safety and quality monitoring.
This project focuses on performing sentiment analysis on Twitter data using a variety of machine learning and deep learning techniques. It compares the effectiveness of traditional algorithms and deep learning models in analyzing sentiment trends across a large-scale dataset.
Comparison of different learning algorithms with each other using the Customer Churn Dataset from Kaggle
A repository with implementations of traditional AI techniques for optimization and problem-solving.
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