innovatetheexisting Goto Github PK
Type: User
Company: Peking University
Twitter: NeedZhao
Location: China
Type: User
Company: Peking University
Twitter: NeedZhao
Location: China
Implemented the projects in this repo as a part of course CS 6364 at UT Dallas
Final Project for CS 6350.001 - Large Scale Data Collection and preprocessing in Spark
Usage of Apache Hadoop, Spark and Kafka.
CS 6350 Big Data Analytics and Management (Graduate Level) Spring 2020
In this project there was application of Deep Learning to detect brain tumors from MRI Scan images using Residual Network and Convoluted Neural Networks. This automatic detection of brain tumors can improve the speed and accuracy of detecting and localizing brain tumors based on MRI scans. This would drastically reduce the cost of cancer diagnosis and help in early detection of tumors without any human involvement and would essentially be a life saver. We have also compared the accuracy of results obtained by using two different models - ResNet50 and ResNet18 and used Transfer Learning to tune or freeze weights to evaluate what gives best result.There are 3929 brain MRI scans which are either positive or negative cases of brain tumor. Models were built using ResNet50 and ResNet18 and evaluated their performance in detecting positive or negative cases of brain tumors.
Common lisp 7 card poker hand evaluation. Evaluation based on pokersource.
All Homeworks/Assignments/Projects for the Coursework
Course project for Big Data Management and Analytics taught by Anurag Nagar at UT Dallas.
CS6360_Project
Implement Decision Tree, Naive Bayes, Logistic Regression, K-Means algorithm.
Cyber attack attribution is the process of attempting to trace back a piece of code or malware to a perpetrator of a cyberattack. As cyber attacks have become more prevalent, cyber attack attribution becomes more valuable. The process of cyber attack attribution can be done using reverse engineering. From the metadata of the malware executable file, we can gather data such as date of creation, variable names used, and what library calls are imported. This information can be used as features for attribution analysis. We need to extract the features from malware that can be used for attribution and analyse them using some technique to attribute the attacks.
This repository holds the python files and notebooks associated with the Udacity Data Engineering Nanodegree.
A Degree Planner for UTD. Default including CS master courses (both core and eligible). Use PHP and XAMPP for back-end, and JavaScript, JQuery for front-end.
The project “Encryption System” enables us to encrypt our plain text file into cipher text and decrypt the encrypted cipher text file into its original plain text format. It’s an implantation of the “Caesar Cipher” encryption technique.
Fundamentals of Web Development solutions (HTML, CSS, PHP, JAVASCRIPT, JQUERY)
This is the path that I am following to be a Jedi Master into Data Engineering.
Algorithm Application DFS, BFS and A*
CS 6320.003 course assignments
Course projects for CS 6364
Building Real Time Data Pipeline using Apache Kafka, Apache Spark, Hadoop, PostgreSQL, Django and Flexomonster on Docker to track status of Servers in the Data Center across the Globe.
Capstone Project for Udacity Data Engineering Nanodegree
Udacity's 5 Month Data Engineering Nanodegree program. This repo includes all the projects completed.
Udacity Data Engineering Nanodegree Projects
Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.
Course Work
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.