Things I wrote in my learning path.

Time series forecasting with PyTorch

🤖 User behavior prediction from event data.

A Study in Artificial Intelligence - Simple scripts that explore capabilities provided by neural networks (NN), generative pre-trained transformers (GPT) and large language models (LLM).

CS404 Artificial Intelligence final project. This project is based on the Pneumonia Images dataset found on Kaggle. The goal was to classify the images using classic Artificial Neural Networks.

A basic set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

Collections of learning materials and resources about data science, machine learning, deep learning and other interesting fields.

I am an Artificial Intelligence Engineer with expertise in Machine Learning and Computer Vision.

ChromBERT: A pre-trained foundation model for context-specific transcription regulatory network

Programmed AI agent to play the game of Nine-Board Tic-Tac-Toe. Developed in Python.

[TII' 21] iFaaSBus: A Security and Privacy based Lightweight Framework for Serverless Computing using IoT and Machine Learning

This project implements aspect-based sentiment analysis 🧠, a sophisticated natural language processing technique 📊 that not only evaluates the sentiment of a text document as a whole 📄 but also identifies and analyzes the sentiment associated with specific aspects or features mentioned within the text 🔍.

Czech voice assistant for computers.

CMS & SiteBuilder Built with Node.js

This project is a comprehensive AI application template featuring a landing page and a dashboard with various AI-powered services. It's built using Next.js and tRPC, with Supabase for database management and Clerk for authentication

A generative AI-driven CLI for testing

Think Pink - Web Application About breast cancer detection using artificial intelligence

Friendly Open Source Powershell AI!

Real-time object detection in images and videos using YOLOv10 trained on Coco. Features automatic and manual model selection, annotated outputs, and easy API integration. Built primarily on Python, Flask, Tkinker, and Streamlit. Supports 243 languages for educating the masses through objects.

Facial Recognition Attendance System using Python, OpenCV, face_recognition, and Firebase. It registers students, encodes their facial features, and marks attendance in real-time.