anirudh9784 Goto Github PK
Name: Anirudh Yadav
Type: User
Company: Amdocs
Bio: π¨βπ» Software Engineer | AI Enthusiast π¨βπ SRM-IST π 2021 β€ Programming
Twitter: Anirudh9784
Location: India
Blog: [email protected]
Name: Anirudh Yadav
Type: User
Company: Amdocs
Bio: π¨βπ» Software Engineer | AI Enthusiast π¨βπ SRM-IST π 2021 β€ Programming
Twitter: Anirudh9784
Location: India
Blog: [email protected]
I am sharing my Journey of 300DaysOfData in Machine Learning and Deep Learning.
Keras implementation of AdvGAN by Xiao et al. (2018) https://arxiv.org/abs/1801.02610
A defense algorithm which utilizes the combination of an auto- encoder and block-switching architecture. Auto-coder is intended to remove any perturbations found in input images whereas block switching method is used to make it more robust against White-box attack. Attack is planned using FGSM model, and the subsequent counter-attack by the proposed architecture will take place thereby demonstrating the feasibility and security delivered by the algorithm.
This repository contains the rough implementation of three adversarial example attack methods and one defense against all using MNIST dataset.
π Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A Python based banking application using file handling and and which also uses Tkinter module for a user friendly GUI.
The original source of the dataset is attributed to: Harrison, D., Rubinfeld, D.L., βHedonic Prices and the Demand for Clean Airβ, Journal of Environmental Economics & Management (5), 1978, pp. 81β102. The multivariate dataset is concerned with housing values in the suburbs of Boston. The dataset consists of 506 records with 13 continuous variables and 1 binary variable. The dependent variable is MEDV. There is no missing data. A description of each variable is provided below: 1. CRIM β per capita crime rate by town 2. ZN β proportion of residential land zoned for lots over 25,000 sq.ft. 3. INDUS β proportion of nonβretail business acres per town 4. CHAS β Charles River dummy variable (1 if tract bounds river; 0 otherwise) 5. NOX β nitric oxides concentration (parts per 10 million) 6. RM β average number of rooms per dwelling 7. AGE β proportion of ownerβoccupied units built prior to 1940 8. DIS β weighted distances to five Boston employment centres 9. RAD β index of accessibility to radial highways 10. TAX β full-value property-tax rate per $10,000 11. PTRATIO β pupil-teacher ratio by town 12. B β 1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town 13. LSTAT β % lower status of the population 14. MEDV β Median value of owner-occupied homes in $1000's
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
Tracking Price of amazon
A complete computer science study plan to become a software engineer.
Using a simple auto encoder to compress a MNIST image and retrieving it from compressed form using Linear Neural network and Convolution Neural Network
πThis repository consists of solutions to various problems and concepts of Data Structures and Algorithms in Python3 stored in a structured manner.π¨βπ»
Face Mask Detection : Classify in 3 Categories : Wear Mask , Wear Mask Properly and Thank you for Wearing mask
This repository contains the source code for the paper First Order Motion Model for Image Animation
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
EASY PULL REQUEST! Don't forget to star if it helped!
House Price prediction using Linear Regression
An Introduction to Computer Vision using OpenCV with Python Bindings
Learn JavaScript by adventuring around in the terminal.
Learn You The Node.js For Much Win! An intro to Node.js via a set of self-guided workshops.
Logistic regression from scratch with NumPy
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Object recognition program using a convolutional neural network (CNN) to detect features from NAIP aerial imagery.
Preimage attack against NeuralHash π£
Azavea Data Analytics team template for Data Science projects
Pytorch implementation of convolutional neural network visualization techniques
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.