Alfred LUO (alfreddLUO)

alfreddLUO

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Location:Hong Kong

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Alfred LUO's starred repositories

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Hierachical_and_KMeansClustering_Analysis

Year 3 SemB CS3481 Hierachical Clustering and K-mean Clustering Analysis Assignment: implement clustering approach for Vertebral Column dataset based on the Hierachical Clustering and K-mean Clustering, and perform analysis and comparison with these two kinds of clustering approach.

Language:Jupyter NotebookLicense:MITStargazers:1Issues:0Issues:0

AIAlgorithmForWolvesEatsSheepGame

Year 3 SemB CS4386 AI Game programming HW2: Implement alpha-beta pruning minmax algorithm with self-designed heuristic evaluation function for both player(Wolves and sheep)to play Wolf eats Sheep Game.

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CS4486-Skin-Cancer-Classification-Project

CS4486 HW3(With Teammate): Implemented CNN to predict the labels of dermoscopic images among eight diagnostic categories. And applied data augmentation techniques(Random Horizontal Flip,Random Vertical Flip,Random Affine,Random Rotate) and other boosting techniques(Mix-Up,Additive SoftMax Margin, Ensemble) to improve the classification accuracy

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Parallel-Computing-on-Bike-Sharing-Demand-Dataset

CS4480 Data Intensive Computing Group Project: Parallel Computing on Bike Sharing Demand Dataset

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Pytorch-Stuffs

self learning stuffs for pytorch

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CLE

Constrained Levy Exploration (CLE) generates a scanpath computing eye movements as Levy flight on a saliency map.

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Harmonization

👋 Aligning Human & Machine Vision using explainability

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deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

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hadoop

Apache Hadoop

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webpack

A full-featured Webpack + vue-loader setup with hot reload, linting, testing & css extraction.

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p3c

Alibaba Java Coding Guidelines pmd implements and IDE plugin

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spring-boot-best-practice

Spring Boot 最佳实践,包括自动配置、核心原理、源码分析、国际化支持、调试、日志集成、热部署等。

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googletest

GoogleTest - Google Testing and Mocking Framework

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UnitAuto

☀️ 机器学习零代码单元测试平台,零代码、全方位、自动化 测试 方法/函数 的正确性、可用性和性能。☀️ An unit testing platform powered by machine learning. Coding-free, comprehensive and automatic testing for methods/functions.

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pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

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vnpy

基于Python的开源量化交易平台开发框架

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Survey_PortfolioSelection

Online portfolio selection is a fundamental problem in computational finance, which has been extensively studied across several research communities, including finance, statistics, artificial intelligence, machine learning, and data mining, etc. This article aims to provide a comprehensive survey and a structural understanding of published online portfolio selection techniques.

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fortitudo.tech

Conditional Value-at-Risk (CVaR) portfolio optimization and Entropy Pooling views / stress-testing in Python.

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pytorch-tutorial

PyTorch深度学习快速入门教程(绝对通俗易懂!)

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AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

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pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

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confusion_matrix

Contains cf_matrix.py file with a function to make a pretty visualization of a confusion matrix.

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github-readme-stats

:zap: Dynamically generated stats for your github readmes

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awesome-github-profile-readme

😎 A curated list of awesome GitHub Profile which updates in real time

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softsec

course materials and references for its450

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Life-long-Learner

Personal Notes About Everything.

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FCND-Motion-Planning

Year 3 SemesterB CS4486 HW1: Implement Iterative A Star(IDA*) Algorithm for path finding, reimplement A* algorithm for finding the path traversing multiple points, and utilized different heuristic functions for the project in the repository forked from udacity/FCND-Motion-Planning

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ComputerSecurityAttacks

Contains SEED Labs solutions from Computer Security course by Kevin Du.

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prefect

Prefect is a workflow orchestration tool empowering developers to build, observe, and react to data pipelines

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