Course Material for Artificial Intelligence and Machine Learning - Unit 2 @ Computer Science Dept, Sapienza

This repository contains implementations of various machine learning algorithms from scratch (KNN, MSE Linear Regression, SVM, Neural Networks, Logistic Regression). Each algorithm is implemented in Python and is contained in its own directory.

Data processing utilities in keras3

This project aims to develop an Intrusion Detection System (IDS) 🕵️‍♂️🕵️‍♂️ using deep learning techniques. The IDS model is designed to detect malicious activities and potential threats within a network by analyzing traffic data.

Gorse open source recommender system engine

Project aims to forecast potato prices in India using LSTM, KNN, and Random Forest Regression, integrating historical data on prices, regional stats, and rainfall patterns. Targeting agricultural stakeholders for informed decision-making.

The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.

PostgreSQL vector database extension for building AI applications

This repository includes various trainings and projects about AI and Data Science

This repository is about a trained Machine Learning model which predicts Whether the Heart Disease is present or not by considering few factors. This ML model is selected by considering different accuracies of various trained ML models.

Integration with (approximate) nearest neighbors libraries for scikit-learn + clustering based on with kNN-graphs.

Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai

JVector: the most advanced embedded vector search engine

Tokenize and convert sample text data into vectors using BERT. Load the vector representation of the text to OpenSearch and use kNN for semantic search

This is a remake of my Capstone Project on Image Classification using Scikit-learn and TensorFlow. I initially completed this project as a part of my Data Science diploma studies at Brainstation in June 2023.

Analysis of student performances of the Open University Learning Analytics dataset by using logistic regression and various classifiers.

RAG, Document Chunking and Navigable Small Worlds

The project develops a facial emotion classifier using the k-Nearest Neighbors (kNN) algorithm. The classifier uses Histogram of Oriented Gradients (HOG) and Principal Component Analysis (PCA) for dimensionality reduction with usage of normalisaton, preprocessing and augmentation.

A curated list of Best Artificial Intelligence Resources

Gretl implementation of the knn machine-learning algorithm