A memory efficient DLRM training solution using ColossalAI

Third Assignment in 'Artificial Intelligence' course by Dr. Ram Meshulam at Bar-Ilan University

Research thesis on digital law completed in 2021

This repository contains final project materials of Machine Learning course in EE Department at Sharif Uni. of Tech. This is a Movie Recommendation System based on K-Means Clustering and Matrix Factorization Algorithms.

This is an restaurant recommandation application with customized food note, you can find what to eat with powerful AI assistant in this app

A collaborative filtering approach using Restricted Boltzmann Machines (RBMs) for movie recommendation based on the MovieLens 100k dataset. Includes data preprocessing, training with CD-k and Parallel Tempering, and evaluation of model performance.

An experiment of a mainstream recommendation system, implementing the entire process and detailed interpretation of related algorithms.

Anime Recommendation System

Machine Learning and NLP models for improving text-based recommendations on TripAdvisor, using BM25, TF-IDF, embeddings, and a Hybrid approach.

This project presents a robust machine learning solution to predict KCET (Karnataka Common Entrance Test) ranks based on marks and provide personalized college recommendations. The system aids students in estimating their competitive rank prior to official results and assists in selecting suitable colleges based on predicted ranks and branch.