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Name: Subha Nawer Pushpita
Type: User
Company: @MIT Media Lab, @Tarteel-io
Bio: CPL @ MIT | Former Intern @ Google/IBM Research | CS & Math @ MIT
Location: Cambridge, MA
Name: Subha Nawer Pushpita
Type: User
Company: @MIT Media Lab, @Tarteel-io
Bio: CPL @ MIT | Former Intern @ Google/IBM Research | CS & Math @ MIT
Location: Cambridge, MA
Dumping the codes of Inference Class
I am posting my projects I have finished here in MIT
This is the first project from 6.883
Second Project from Modelling with ML Course
Third Project from Modelling with Machine Learning
Will be coding all algorithms I know
In this color detection Python project, we are going to build an application through which you can automatically get the name of the color by clicking on them. So for this, we will have a data file that contains the color name and its values. Then we will calculate the distance from each color and find the shortest one.
This repository contains code for CoNLL–SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection.
An upgraded version of the earlier one to ensure more accuracy
In this deep learning project, I will be classifying human facial expressions to filter and map corresponding emojis or avatars.
Depression Detection Using Twitter Data - Group project for Udacity Private & Secure AI Project Showcase
In this Python Machine learning project, we will build a model using which we can accurately detect the presence of Parkinson’s disease in one’s body.
Will be applying differential privacy mechanisms in split learning and also check the performance by reconstruction attack, membership inference attack
This advanced python project of detecting fake news deals with fake and real news. Using sklearn, we build a TfidfVectorizer on our dataset. Then, we initialize a PassiveAggressive Classifier and fit the model. In the end, the accuracy score and the confusion matrix tell us how well our model fares.
In this Python Project, we will use Deep Learning to accurately identify the gender and age of a person from a single image of a face. We will use the models trained by Tal Hassner and Gil Levi. The predicted gender may be one of ‘Male’ and ‘Female’, and the predicted age may be one of the following ranges- (0 – 2), (4 – 6), (8 – 12), (15 – 20), (25 – 32), (38 – 43), (48 – 53), (60 – 100) (8 nodes in the final softmax layer). It is very difficult to accurately guess an exact age from a single image because of factors like makeup, lighting, obstructions, and facial expressions. And so, we make this a classification problem instead of making it one of regression.
This repo has the data pipeline codes for processing Microsoft geolife research for contact tracing testing
Code and Data for "Expectation-based comprehension of linguistic input: facilitation from visual context"
The objective of our project is to learn the concepts of a CNN and LSTM model and build a working model of Image caption generator by implementing CNN with LSTM.
I am designing and implementing a keylogger combining statistical and ML approach
example player for battlecode 2020
These are the codes I have learnt from the machine learning course of IBM in coursera
I am uploading my homeworks from course 6.036
A mental health chatbot which tries to have quality conversation with people to see if they have depression
I have playing around with tensor2tensor for a couple of days and worked on a bunch of projects which I am uploading here
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.