SHUBHAM SHANKAR's Projects
Learning a wide range of skills that are useful in everyday life as well as being a data analyst.
The goal of this project is add IoT support and provided a better understanding of how the IOT devices Work.
Combination of Java Programmes and Object-Oriented Programming Concepts.
This repo will contain all of my spring-based applications.π. Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications.
A curated list of my machine learning projects. Machine learning (ML) is the study of computer algorithms that improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence.
This repository will contain a comprehensive collection of machine learning algorithms, each with clear and concise implementations of supervised learning, unsupervised learning, or reinforcement learning.
Master the fundamentals of machine learning topics by coding and studying design questions.
This repo contains solutions to SQL problems in MYSQL.
Natural language processing (NLP) is the discipline of building machines that can manipulate human language β or data that resembles human language β in the way that it is written, spoken, and organized
Built and Developed Netflix Clone using React JS, Redux, JS, CSS. Scroll across and click on your favorite show to watch its Trailer.
Neural networks, also known as artificial neural networks (ANNs) or simulated neural networks (SNNs), are a subset of machine learning and are at the heart of deep learning algorithms.
Python is a general-purpose, versatile, and powerful programming language. Here is a curated list of programs written in my absolute favorite programming language.
Deploy a secure, infinitely-scalable API for use in our workflow, accompanied by SDKs for use in working with common deployment devices.
SAM is a deep learning model (transformer based). When we give an image as input to the Segment Anything Model, it first passes through an image encoder and produces a one-time embedding for the entire image. The downsampling happens using 2D convolutional layers. Then the model concatenates it with the image embedding to get the final vector.
Project was designed and developed by conducting a feasibility study, A cost estimation model was built(COCOMO). Agile methodologies were used and Microsoft Project Planner were used to develop project.
Campus Placement Management System is built using Java and MYSQL Database, and is developed to manage the Campus Placement Activity through a portal. This project is designed to help students plan their career and help them apply to a job they fit in.
Collection of all my work during my Master's Program.
Scrape the content of the web with ease using beautiful Soup.
Send Message to Unknown number without actually saving them.
YOLO_NAS is an architecture for object detection that automatically searches for optimal neural network structures, while Segment Anything Model is a versatile model for segmenting various objects in images.
About YOLO_NAS is an architecture for object detection that automatically searches for optimal neural network structures, while Segment Anything Model is a versatile model for segmenting various objects in images.
Ultralytics YOLOv8 is a cutting-edge, state-of-the-art (SOTA) model. YOLOv8 is designed to be fast, accurate, and easy to use, making it an excellent choice for a wide range of object detection and tracking, instance segmentation, image classification and pose estimation tasks.