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Name: Natasha Scannell
Type: User
Company: Amazon
Bio: Amazon SDE - Former MIT Lincoln Laboratory Intern - Former NASA Glenn Research Center Intern - Former NASA Kennedy Space Center Intern - Former DS&A TA
Name: Natasha Scannell
Type: User
Company: Amazon
Bio: Amazon SDE - Former MIT Lincoln Laboratory Intern - Former NASA Glenn Research Center Intern - Former NASA Kennedy Space Center Intern - Former DS&A TA
MATLAB implementation of numeric integration techniques for CS 657/708 term project.
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Implementation of automatic differentiation using forward accumulation.
Basic information retrieval system on local documents for Text Retrieval class
Calculated cubic splines on a small dataset in MATLAB
DS&A in C++, Python, maybe more
Simple Keras CNN for digital digit recognition
Neural networks for the classification of Kepler light curves as containing a transiting exoplanet or not.
Initially created as a debugging midterm for Data Structures and Algorithms, this is a representation of a Film collection
Two part project for AI: one does classification with decision trees and NB using algorithms from AIMA; second does constraint satisfaction with greedy search vs a search with a genetic algorithm
A C implementation of a command line driven gradebook server application
Hopfield Model storing and denoising basic digits, as well as MNIST images.
MATLAB implementation of signal separation on mixed images using fast ICA
Search engine that focuses on astronaut health and the dangers of long-term space missions
Python maze solver using informed search on sequential mazes with wildcards
Kernel SVM in MATLAB with produced plot
Implementation of a radial basis function classifier using k means clustering.
Lab12
Implementation of least squares method to fit a polynomial to a given set of data points
Linear SVM in MATLAB with produced plot
Learn Prolog Now LaTeX sources
Single layer perceptrons to classify specific digits from a subset of the MNIST dataset
The comma.ai Driver Monitoring Challenge!
Multilayer perceptron for a subset of the MNIST dataset. mlp.py does stochastic learning and mlp_mini does mini batch learning.
Tutorial code for time series forecasting
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.