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Name: Krit Gupta
Type: User
Location: College Station, USA
Blog: www.kritgupta.me
Name: Krit Gupta
Type: User
Location: College Station, USA
Blog: www.kritgupta.me
A comprehensive list of Deep Learning, Machine Learning and Artificial Intelligence tutorials - originally created by Donne Martin and will be expanded in areas of AI/Deep Learning / Machine Vision and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until atleast 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
Automated feature engineering in Python with feature tools
The Patterns Behind Scalable, Reliable, and Performant Large-Scale Systems
Code and Data Files relevant to our Bootcamp Digit Recognition App Project.
A complete computer science study plan to become a software engineer.
Quiz & Assignment of Coursera
Using Topic Modeling and Sentiment Analysis to predict a crash
CSCE 606 team project - CSE Dashboard for the CSE Deptt. Team Members - Satya Kesav, Krit Gupta, Pranoy Kovuri, Sandeep Gottimukkala, Kevin Mathew (Team CosmicSoft)
This is the repository for my course, Learning Data Visualization with D3.js on LinkedIn Learning and Lynda.com.
The project was a part of the course CSCE 608 under Dr. Chen - the Advanced Database Systems Course.The project is trying to store data generated on Facebook (particularly related to the pictures) in an Instagram-inspired database, so that operations can be performed on it.
Deep Learning Specialization by Andrew Ng on Coursera.
Repository to record my learnings of various deep learning models
Deep Learning (Python, C, C++, Java, Scala, Go)
This repository contains my personal notes and summaries on [DeepLearning.ai](deeplearning.ai) course. I've enjoyed every little bit of the course hope you enjoy my notes too.
Deep Learning Tutorial notes and code. See the wiki for more info.
A list of helpful front-end related questions you can use to interview potential candidates, test yourself or completely ignore.
Ruby Introduction Assignment for Agile Development using Ruby on Rails
All my deep learning notes
Some sample projects that I did in related fields.
The project deals with the Maximum Bandwidth Path Problem. The project implements a network routing protocol using data structures and algorithms.
A multi-channel neural network audio classifier using Keras
PyTorch tutorials demonstrating modern techniques with readable code
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.