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Name: Shivang Singh
Type: User
Bio: I am a computer science student at the University of Texas at Austin. This is the code for all my personal projects.
Location: Austin, TX
Blog: www.shivangsingh.com
Name: Shivang Singh
Type: User
Bio: I am a computer science student at the University of Texas at Austin. This is the code for all my personal projects.
Location: Austin, TX
Blog: www.shivangsingh.com
Apple native application for displaying local crime data
This is a black jack game I developed to learn the java swing library as well as learn about the java UI.
This program is designed to use Python's PANDAS data analytics libraries to generate a csv file for the specified range of years given by the user. This was designed to make thousands of pairwise comparisons to analysze the correlation between stock price and the percent increase the stock saw. The report is attached bellow.
CrashMonkey: tools for testing file-system reliability (OSDI 18)
This is an implementation of reporting tools in the .NET based web application which I developed during my internship at FacetoFace technologies.
Final project starter code for CS378 NLP, Spring 2020
Cyberpatriot is a competition in which teams compete to make the system more secure. This bash was used in cyber patriot 2016-2017 season
Python program to take bcycle data and describe the flow of people throughout the day
Code for Datahack
This is my personal research project that I did during the course of the year. This project revolves around the alignment of embryo stages among 4 species of animal.
Currently Mandelbulb fractal
Google App Script for automating the procedure of keeping track of NHS hours. Sends emails after checking.
[ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, Decebal Constantin Mocanu, Mykola Pechenizkiy
This project explores the use of sequence modeling to do time period classification for classical music. We explore the use of a long short-term memory (LSTM) network to model music. We do this in two steps. (1) In the first step, we design an upstream task that takes in input sequences of music notes. (2) Secondly, we use this model to classify music sequences into musical time periods. We derive this set of mappings through finding lists of time periods and the respective pieces that correspond to the period. We show that by first training a language model on a set of unlabeled data and then fine tuning on a smaller set of labeled data, we are able to improve performance. Through this modeling, we hope to learn what factors and features are the most useful in delineating between time periods. Furthermore, we would like to explore the model that we build through probing to learn more about musical time periods.
The Places365-CNNs for Scene Classification
Tutorial and introduction into programming with Python for the humanities and social sciences
👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)
Minimal PyTorch implementation of YOLOv3
This project is designed to model and predict the response of the human brain (activation of particular voxels) given a particular stimuli (sequences of words).
The source code for my website: www.shivangsingh.com
This urban heat island program included an android as well as a web application component which kept track of urban heatislands
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.