Marinto Richee J's Projects
This project leverages Numba and CUDA to compare the performance of a Laplacian stencil computation on both CPU and GPU. Numba, a Just-In-Time compiler for Python, optimizes functions for enhanced performance, while CUDA enables GPU acceleration. The Laplacian stencil, a numerical computation essential in image processing, serves as the benchmark.
Android Projects on advanced topics
An intuitive Python tool for annotating images with bounding boxes. Easily assign custom classes to objects and save annotations. Includes AI model integration for automated annotation. Perfect for streamlining computer vision projects. classes to these objects, and save annotations.
Developing AI Agent with PEAS Description
Amazon ML Challenge is a two stage competition where students from all engineering campuses across India will get a unique opportunity to work on Amazon’s dataset to bring in fresh ideas and build innovative solutions for a real world problem statement.
This repository contains the code for multiple Applied AI projects. The projects use a variety of machine learning techniques to solve a variety of problems. The projects are designed to be used as a learning resource for students and researchers interested in Applied AI.
Fundamentals of AI - Route Finding problem
This repository contains the code for multiple Deep Learning projects. The projects use a variety of Deep Learning techniques, such as convolutional neural networks, recurrent neural networks, and reinforcement learning.
This repository contains the code for multiple Digital Image Processing projects.
This repository contains the design files for an embedded board. The board is based on an ARM Cortex-M4 processor and includes a variety of peripherals, such as a memory controller, a graphics controller, and a network interface.
This project focuses on automating the extraction of registration numbers from scanned handwritten documents. By leveraging EasyOCR, an Optical Character Recognition (OCR) tool, and implementing various computer vision techniques, we have developed an effective solution for this task.
A robot powered training repository :robot:
Innovative tech-driven system recommends mood-aligned food, enhancing well-being by understanding emotions through computer vision and natural language processing. Open-source and open to the future!
This repository contains the code for multiple neural network projects. The projects include a variety of tasks, such as image classification, natural language processing, and speech recognition.
This repository contains a collection of experiments and examples related to parallel computing architectures, which are designed to help you understand how different parallel computing architectures work, and how to utilize them to speed up your computations.
This repository contains a simple image classifier implemented using PyTorch. The classifier is based on a Convolutional Neural Network (CNN) architecture and is designed to classify images into 'Accepted' and 'Not Accepted' categories.
This repository contains a simple image classifier implemented using Tensorflow. The classifier is based on a Convolutional Neural Network (CNN) architecture and is designed to classify images into 'Accepted' and 'Not Accepted' categories.
Programming Micro Controllers
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent