Name: Aayush Shrivastava
Type: User
Company: Indian Institute of Technology Hyderabad
Bio: CS Geek | M.Tech CSE | IIT Hyderabad | C/C++/Python/Java | Machine Learning | LLVM | Compiler Engineering
Twitter: aayusphere
Location: Hyderabad, Telangana, India
Aayush Shrivastava's Projects
This repository contains a collection of LLVM passes developed for LLVM v17.x. These passes are tailored to enhance the understanding and skills in compiler construction and optimization, especially in the context of both general-purpose and embedded systems programming.
IITH Compilers Team
This repository offers a comprehensive overview of various analytical techniques for fraud detection and provides implementation guidance for an effective fraud prevention solution to help you detect fraud early.
This comprehensive repository is a one-stop destination for all things related to building dynamic and robust web applications using the power of Python across both the front-end with HTML/CSS/JavaScript to robust back-end solutions with Flask and Django, this repository guides you through the entire full-stack journey.
This repository contains the tutorial based on Image Processing with OpenCV by implementing most of the techniques. Explore the examples and practice the code to gain a deeper understanding of image processing concepts.
This repository features an LLVM optimization pass for inter-procedural, context-insensitive, and flow-sensitive constant propagation that analyses and substitutes constant values across function boundaries. Key features include handling diverse data types and operations, and transforming variables and function arguments to constants.
This project aims to develop an effective leaf image classification system using machine learning algorithms. It includes extensive experimentation and evaluation of different models and hyperparameter tuning to identify the best-performing model.
Identification of plants by analyzing their leaves using digital image processing techniques which involves examining and extracting various morphological features such as shape, color, and texture. This approach influences technology to automate and streamline the identification process.
MLIR (Multi-Level Intermediate Representation) provides a flexible and extensible framework for building reusable and modular compiler components. This repository contains an MLIR pass, which is an analysis applied to MLIR code.
This repository contains comprehensive resources and examples for mastering the Standard Template Library (STL) in C++. The STL provides a set of common classes and interfaces for data structures and algorithms, greatly simplifying the process of writing efficient and robust code.
VidLink is a simple and user-friendly Python script that allows you to effortlessly download high-quality YouTube videos by just pasting the video link. Built using the Pytube library, VidLink ensures a seamless video downloading experience. With minimal input required, users can easily obtain their favorite videos in the best available resolution.