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Name: Badhri
Type: User
Company: New York University
Location: New York
Name: Badhri
Type: User
Company: New York University
Location: New York
The aim of this project is to classify between original and fake currency notes for bank authentication.A 2-layer neural network was used for classifying the examples into two classes.Feature extraction was already performed using a technique called wavelet transform.
Built a Movie script evaluator ( Expected IMDB rating & Predicted Production companies that could accept a particular script ) using metadata on about 45000 movies since 1970.
Deep Convolutional Auto encoder network trained for removing externally added blur in MNIST images.
Basic implementation of Convolution Neural networks
The aim of this project is to build a model which can classify correctly between 2 people given images of their face.Both linear and gaussian kernels were used in non-linear SVM for comparing the performances.
My work on extending FoldingNet Autoencoder to a Variational Autoencoder for generating Point cloud buildings.
My first GitHub Repository
Extracts person's data with some changes added to the original repo
The aim of this project is to study the effect of matched median filter on quadrature amplitude modulated signals in presence of additive white gaussian noise.
The aim of this project is to build an OCR model which could recognize handwritten digits that are written along a line.MNIST Handwritten Digits dataset was used to train a neural network for correctly classifying each digit seperately.
Built Recommendation System for topic posts in Discourse forums using a pre-trained BERT model, TF-IDF, and a novel approach combining both methods.
This project is for classifying mails as spam and non-spam.Logistic regression was the learning algorithm used and in addition to that,10-fold cross validation was performed.
This is an implementation of 3 layer Fully connected Neural network for google street view images containing digits between 0 and 9 in it.
The aim of this project is to visualize the hyperplanes learnt by the neurons in the hidden layer of a neural network that was built to rightly classify a set of points.
In this project, I have designed a relational backend and front end using MySQL and PHP respectively for a website that allows people to communicate with others in their neighborhood. That is, people would be able to sign up for the service and specify where they live; they can then send and receive messages to other users living close by, and participate in discussions with those users.
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.