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Name: David Nallapu
Type: User
Bio: Still learning.
Location: Boston
Name: David Nallapu
Type: User
Bio: Still learning.
Location: Boston
Implementing BFS with Apache Spark GraphX and Pregel on Marvel Superhero Network
Multithreaded GUI of an Autonomous Boat cleaning up Oil Spill.
This study aims to classify dog breeds. Hyperparameter tuning will be done to understand the performance of the hyperparameters. This study looks at the impact of changing the actiovation function, cost function, no. of epochs, gradient estimation, network architecture, network initialization. We will see loss, accuracy and other metrics on TensorBoard to understand performance . We will also see that certain paramerter tuning causes a dramatic difference. The findings from this study indicate that it is important to do hyper parameter tuning for Deep Learning with CNNs.
ReactUI Solidity Hardhat Dapp of a Dutch Auction deployed on IPFS with MetaMask wallet
A web-app that I made for E-Cell SNU. Implemented with Angular 8 and Firebase.
Detects faces on input of image. Image input is done by a dialog box.
Applying Graph Theory to the the weighted network of co appearances of characters in Victor Hugo's novel "Les Miserables". Finding the dominant eigenvector to find the most "popular" characters or important nodes.
GUI to resize image and/or convert it to black and white.
A simple library app that accesses a database
Live emotion analysis of tweets from Twitter filtered based on a keyword.
Media Player done with Java FX
A simple program that merges all .txt files in a folder.
Plots the graph of a few ML Classification models like Logistic Regression, KNN, SVM, Naive Byes, Decision Trees, Random Forest. Sample data uploaded.
Detects Motion from webcam.
Movie Recommendation Engine with ALS and implemented with Scala and Spark
The multi-armed bandit problem is to maximize our reward by balancing exploration and exploitation of allocating limited resources to competing choices. This study aims to understand and solve the multi-armed bandit problem with Thompson Sampling, UCB and 𝜖 -greedy. Random Sampling will also be used to create a benchmark to understand the performance of the other algorithm. We will see the advantages and disadvantages of various algorithms. The findings from this study indicate that it is important to compare various algorithms for the multi-armed bandit problem as they perform differently in varied environments.
Multiple Linear Regression Implementation done with Backward Elimination. Sample .csv file uploaded.
Multi-threaded Sorting Implementation
This script does Natural Language Processing on restaurant reviews to tell if the customer liked/disliked the restaurant. Classification done with Naive Byes.
Q-learning is a model-free reinforcement learning algorithm to learn quality of actions telling an agent what action to take under what circumstances. This study aims to simulate the environment for Q-Learning by importing it from OpenAI gym and to maximize the agent's reward. Baseline hyperparameters will also be used to create a benchmark to understand the performance of the hyperparameter tuning. This study looks at the impact of changing the learning rate, discount rate, epsilon value, and epsilon decay rate. We will see avergae score metrics and a rendered environment to understand how well the agent is performing. We will also see that certain paramerter tuning causes a dramatic difference. The findings from this study indicate that it is important to do hyper parameter tuning for a reinforcement learning environment.
This script plots a graph with SVR, Decision Tree Regression and Random Forest Regression models working on a sample data. Sample data has been uploaded.
RSML Hospital's Angular Firebase App
A simple dictionary application using a json file.
Implementation of a simple UNIX shell
A small text generator
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.