A Python package to assess and improve fairness of machine learning models.

Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.

IdenProf dataset is a collection of images of identifiable professionals. It is been collected to enable the development of AI systems that can serve by identifying people and the nature of their job by simply looking at an image, just like humans can do.

Official implementation of paper "Meta Prompting for AI Systems" (https://arxiv.org/abs/2311.11482)

An innovative AI system developed to extract actionable insights by converting natural language into SQL queries via Google's Gemini model and dynamically visualizing the data with Plotly Express, streamlining decision-making across all levels of expertise.

Saturn accelerates the training of large-scale deep learning models with a novel joint optimization approach.

Practical system design, tools, and hands-on resources for building Gen-AI agents & agentic AI systems.

Resources for recent AI systems (deployment concerns, cost and accessibility). -- closed

Algorithmic inspection for trustworthy ML models

This project uses AI-powered vehicle detection to enable customizable and efficient parking space management.

Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.

Welcome to the repository for **Exercise 3 of the AI Systems Course** at the **University of Tehran**. This project focuses on designing and implementing a lightweight, efficient **processing element (PE)** for performing operations of neurons in a **multi-layer perceptron (MLP)** using Verilog.

Гибридная модель ИИ для автошахмат, сочетающая формальные эвристики и адаптивное поведение.

Reference architecture for structured AI memory lifecycle management — from the OPHION Memory OS Protocol.

POPL 2025 conference notes and materials. Focus on AI systems, WebAssembly, and verification.

Лабораторный по курсу "Системы искусственного интеллекта" 9 семестр

Лабораторные по дисциплине "Системы искусственного интеллекта", ИТМО.

AI Systems - a 3rd year CSE banchelor course in ITMO University

This repo contains information about new research field of machine learning that is handwritten character recognition.

Official implementation of paper "Meta Prompting for AI Systems" (https://arxiv.org/abs/2311.11482)