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Name: Siddhant Manglik
Type: User
Name: Siddhant Manglik
Type: User
Repository for cool algorithms and Datastructures
Reverse engineering, Malware and goodware analysis of Android applications ... and more (ninja !)
apk static features extraction tool
Neural network for detecting cardiac dysrhythmia
A simple autoencoder built using a CNN meant to train on images
List of awesome app ideas
Python AxmlParser
Categorizing different categories of arrhythmia and for reducing the dimension six feature selection techniques (Random Forest, Variance Threshold, Analysis of Variance, CHI-2, dropping correlated features, and Recursive Feature Elimination) are applied in combination with fourteen classification algorithms (Support Vector Machine, Logistic Regression, Decision Tree, Random Forest,Gradient Boosting, Bagging, NaΓ―ve Bayes, K Nearest Neighbor, LightGBM, ID3, Stacking, Maximum Voting, and Averaging) using Python language.The aim is to compare different classification algorithms to predict cardiac arrhythmia diseases. The performance parameters taken are accuracy, precision, recall, and f-score.
CNN and Autoencoder on EMNIST using Tensorflow
List of data structures and algorithms. Feel free to contribute under Hacktoberfest '18!
Face detection using OpenCV and Python
$ git remote <graduation> yearbook
Participate in Hacktoberfest by contributing to any Open Source project on GitHub! Here is a starter project for first time contributors. #hacktoberfest
Share your favorite code snippets! Hacktoberfest 2019! π»
Hacktoberfest 2018. Check out the end video for this project ->
A collection of words! :star: it if you :+1: it !
This repo contains solutions for projecteuler problems in multiple languages. Specially created for newcomers to contribute as part of Hacktoberfest Challenge.
Create your first pull request and get a free Tee from Github and DigitalOcean. π
Make your first PR! ~ A beginner-friendly repository. Add your profile, a blog, or any program under any language (it can be anything from a hello-world program to a complex data structure algorithm) or update the existing one. Just make sure to add the file under the correct directory. Happy hacking!
Make your first Pull Request and earn a free tee from GitHub!
Repository to let enthusiasts create issues and pull requests for the Open Source event
A beginner-friendly project to help you in open-source contributions. Made specifically for contributions in HACKTOBERFEST 2020! Hello World Programs and Algorithms! Please leave a star β to support this project! β¨
π€ͺ π€¨ π§ π€ π HACKTOBERFEST 2020 ALERT: Submit Just 4 PRs to earn SWAGS π€ͺ π€¨ π§ π€ π
This is the repository for Hacktoberfest 2020
A repository where you can upload any code in any language of your choice. Feel Free to add your code here :)
for hactoberfest t-shirt
Make a pull request. Let's hack the ocktober in an innovative way.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.