Himanshu Beniwal's Projects
Practice solutions for the 30 days of code for hackerrank.
In this project, you will look at the character co-occurrence network and its evolution over the five books in R.R. Martin's hugely popular book series A Song of Ice and Fire (perhaps better known as the TV show Game of Thrones). You will look at how the importance of the characters changes over the books using different centrality measures.
Remember the game we used to play earlier, to cross the road without colliding with objects on road. This game mimics the same scenario and we are supposed to cross the road without colliding the bugs. Yeah!, bugs. Because there were many bugs also in making this project, a success.
An experimental open-source attempt to make GPT-4 fully autonomous.
A simple python script which uses selenium to send the message.
Developer content repository for Azure Pyday
Some Basic Programs in C for Beginners
Ready-to-use realtime multi-object tracker that works for any object category. YOLOv5 + SORT implementation.
Some Programs for Topic - Computer Based Numerical & Statistical Techniques
Some designs made in Logism (software)
Free tech resources for faculty, students, and dev advocates for use in computer science courses, workshops, and hackathons.
Many banks use Machine Learning to detect frauds in credit card transactions, but how does it work? Let's have a look at it š§
Programs in SQL for Begineers - Check for index and File contains basic SQL Programs
This repo contains all the projects which I solved during the Data Science with Python track.
Some programs for Algorithms using C language
To better understand the growth and impact of Bitcoin and other cryptocurrencies and explore the market capitalization of different cryptocurrencies.
Version control repositories like CVS, Subversion or Git store rich evolution information about a software project. In this project, you'll be challenged to read in, clean up and visualize a real world Git repository dataset of the Linux kernel. With almost 700k commits and thousands of contributors (find out the exact number in this project ;-) ) there are some little data cleaning and wrangling challenges that you'll encounter. But you'll also gain insights about the development activities over the last 13 years.
Combinded knowledge of computer vision techniques and deep learning architectures to build a facial keypoint detection system.
In this project, we were supposed to write the test suites using Jasmine [Behaviour-Driven Javascript] (http://jasmine.github.io/) for the web application that reads the RSS feeds and keeps on updating as content changes.
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
Handwritten Digit Recognition using Machine Learning and Deep Learning
My personal one! š±āš»
Website
Base repository for IMAD course application.
In this project we combine Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) knowledge to build a deep learning model that produces captions given an input image. Image captioning requires that you create a complex deep learning model with two components: a CNN that transforms an input image into a set of features, and an RNN that turns those features into rich, descriptive language.
Contains all the tasks completed during the JP Morgan Chase Software Engineering Virtual Internship.
Code for Editing Factual Knowledge in Language Models
SLAM (Simultaneous Localization and Mapping) was implemented for a 2 dimensional world! we combine what you know about robot sensor measurements and movement to create a map of an environment from only sensor and motion data gathered by a robot, over time. SLAM gives you a way to track the location of a robot in the world in real-time and identify the locations of landmarks such as buildings, trees, rocks, and other world features. This is an active area of research in the fields of robotics and autonomous systems.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent