Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
- Updated
Mar 25, 2026 - Python
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
oneAPI Data Analytics Library (oneDAL)
The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.
oneAPI Collective Communications Library (oneCCL)
A Complete Resource to Master Graduate-Level GenAI Mathematics
Software-based rationalia. A structured "Wikipedia for arguments" leveraging collective intelligence to automate enlightenment, conflict resolution, and cost-benefit analysis. This platform revolutionizes political and societal debates through logical ranking, pro/con organization, and rigorous, systemic evaluation frameworks and sustainable logic.
Texas Longhorns baseball intelligence for scouting, roster evaluation, and SEC analysis. Integrates program doctrine with live MCP data from the college-baseball-sabermetrics server. Optimized for data-backed reports and historical comparisons.
Personal AI/ML portfolio demonstrating Python projects with hands-on machine learning, front-end, and back-end development skills.
Beginner → Intermediate (Student & Self-Learner Friendly)
AI-powered symptom checker with triage recommendations and symptom pattern tracking — FastAPI backend using lightweight NLP and ML models. MVP-ready for health-tech innovation.
AI Simulation
An AI-powered content moderation system using Python and Hugging Face Transformers. Combines rule-based filtering and machine learning to detect and block toxic, profane, and politically sensitive content, built for developers and communities to create safer, positive online spaces.
aims to understand the characteristics, structure, and important components of the dataset and learning process by giving marked data to the model.
A cutting-edge AI-powered facial recognition attendance system that automates tracking in educational institutions and workplaces
AI CDSS predicting respiratory patient risk from EHR and imaging data, with clinically actionable outputs.
Full Scholarship Comp. Eng. Student at BAU. Building expertise in Full-Stack Web Dev & AI/ML with Python OOP and clean Git practices.
This is my solutions to Datacamp projects.
🤖 RAG-based chatbot that extracts knowledge from PDF documents, retrieves relevant context, and generates accurate answers using LLMs.
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