naralakamsani Goto Github PK
Name: Narasimha lakamsani
Type: User
Bio: Student at Arizona State University. Taking courses in Udacity to learn Machine Learning.
Location: Charlotte, NC
Name: Narasimha lakamsani
Type: User
Bio: Student at Arizona State University. Taking courses in Udacity to learn Machine Learning.
Location: Charlotte, NC
An app that connects an SQL database, and interactively allows users to update, add, delete task that need to be completed
Allows user to type any word to find the definition. If the word does not exist, it finds similar words. Then, it asks the user if the similar word is what they were looking for.
Uses Haarcascade library to identify if there is a face. This data is stored using the Pandas library into a data frame. Then, it displayed in a motion graph using Matplotlib and Bokeh library.
A command line application that loads and preprocesses a dataset of images using pytorch to train a model, which is converted to ONNX to be used with OpenVino for inference.
Evaluate supervised machine learning algorithms to determine which algorithm will provide the highest donation yield
A command line application that loads and preprocesses a dataset of images using torchvision, pandas, numpy, and PIL. It uses pytorch to train a modified pretrained neural network on the data to predict flower image content.
Uses the Folium library to create and interactive map. The map is colored based on the population in a region and has all volcanoes in America pinpointed with their details.
Uses the cv2 library to open each frame of video from webcam and checking the previous frame to see difference to identify motion. This data is stored using Pandas library into a df which is then displayed in a motion graph using Matplotlib and Bokeh library.
Examples for using ONNX Runtime for machine learning inferencing.
Collected data from Century21 website using Beautiful Soup library, and used Pandas to organize the data into an excel sheet
A simple web page in which a user can use to enter a movie review. This web page will then send the review off to my deployed model in SageMaker which will predict the sentiment of the entered review.
Using past stocks data, I created a candle stick graph using Matplotlib to help visualize the data. This graph can be modified to show different ranges of years and can easily be changed to a different type.
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.