This repository contains a diverse range of AI-related code examples, projects, and tutorials that I've worked on during my AI learning journey.
Python, Computer Vision, Machine Learning, Deep Learning, CNN, Image Classification, Image Recognition
Detection of craters on planetary surface is very crucial for the better understanding of planet topography. It is also important for the selection of landing sites of various lander mission, path planning for rover missions. This project is about application of deep learning method for detection and semantic segmentation of craters in an image.
Netflix movie recommendation system
A repository for my summer project internship at Infosys Springboard (2024).
🧠A hands-on workspace for practicing machine learning concepts, data preprocessing, and experimenting with small ML projects. This repo includes foundational Python scripts, real-world mini-projects, and experiments that reflect a progressive learning journey in applied machine learning.
Interpreting the object localisation can be done in various ways, including creating a bounding box around the object or marking every pixel in the image which contains the object (called segmentation). With the need of real time object detection, many one-step object detection architectures have been proposed, like YOLO, YOLOv2, YOLOv3, SSD.
This notebook is designed to train a deep learning model for face emotion recognition. It uses TensorFlow and is run in a Google Colab environment.
The purpose of a recommendation system basically is to search for content that would be interesting to an individual. Moreover, it involves a number of factors to create personalised lists of useful and interesting content specific to each user/individual.
simple deep learning model for iris dataset
Welcome to the Deep Learning for Beginner repository! This project is designed to help newcomers understand the foundational concepts and practical implementations of deep learning using Python, TensorFlow, and Keras.
This repository contains assignments, quizzes, and implementations developed for the Comp417: Neural Networks course.
RAYAN AI international competition training course : Homeworks and Projects
NN is a meticulously crafted C-based neural network framework, combining versatility, clarity, and essential tools for matrix operations, propagation, cost analysis, and gradient-based learning, making it ideal for education and small-scale experimentation.
A Neural Network Genetic Algorithm Autonomous Car Simulation In Unity
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