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

This project uses K-Nearest Neighbors (KNN) to classify customers of a telecommunication company into four groups based on features such as region, tenure, age, and marital status. It includes Exploratory Data Analysis (EDA) with visualizations and evaluates model performance to find the best value of k.

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

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

Sounify: An AI-powered application capable of detecting and analyzing accents from 13 different countries. Utilizing advanced speech recognition technology, Sounify offers a unique and interactive tool for understanding linguistic nuances.

Routines for generating, manipulating, parsing, importing vector embeddings into Postgres tables

机器学习教程，本教程包含基于numpy、sklearn与tensorflow机器学习，也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。

Análise de resultados obtidos na classificação de dados gerados por IA ou humanos, ao utilizar diferentes algoritmos de classificação supervisionada.

MIT PRIMES Research Project 2024

A Comparative report between Clustering-Based Anomaly Detection & K-means Clustering

Research Internship

JVector: the most advanced embedded vector search engine

Session-weighted recommendation system in Python

ML based Smart Crop Recommendation System with Disease Identification, utilizing CNNs. It aids farmers in selecting crops, managing diseases, and boosts productivity by integrating weather and geolocation APIs.

Implementations of main Machine Learning Agorithms from scratch: Gaussian Mixture Model, Gradient Boosting, Adam, RMSProp, PCA, QR, Eigendecomposition, Decision Trees etc.

Real time Smart Attendance System Based on Face Recognition

PostgreSQL vector database extension for building AI applications

Gretl implementation of the knn machine-learning algorithm

Este repositório contém conteúdo do trabalho da disciplina de Inteligência Artificial do curso de Ciências da Computação - UNIFEI.

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