charlax /
professional-programming
A collection of learning resources for curious software engineers
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Muhammad-Hussain-Ullah / repository
A professional learning repository for the Agentic AI course at SMIT. This repo documents my hands-on progress, class exercises, and practical implementations using Python to explore core Agentic AI concepts.
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This repository serves as a structured record of my learning journey in the Agentic AI course at SMIT. It includes class-wise notes, code implementations, and experiments focused on building intelligent, autonomous systems using Python.
The goal is to gradually develop a deeper understanding of agent-based AI systems, prompt engineering, and automation workflows while maintaining clean, professional, and reproducible code practices.
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charlax /
A collection of learning resources for curious software engineers
96/100 healthjainaman224 /
A comprehensive resource for learning and implementing algorithms and data structures. This repository includes detailed notes, complexity analysis, and code examples in C++, Java, Python, and more. Ideal for students, professionals, and those preparing for coding interviews.
83/100 healthyashab-cyber /
HackGPT Enterprise is a production-ready, cloud-native AI-powered penetration testing platform designed for enterprise security teams. It combines advanced AI, machine learning, microservices architecture, and comprehensive security frameworks to deliver professional-grade cybersecurity assessments.
80/100 healthaulekator /
A production-grade algorithmic trading bot for Polymarket's 15-minute BTC price prediction markets. Built with a 7-phase architecture combining multiple signal sources, professional risk management, and self-learning capabilities.
73/100 healthqingsongedu /
A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).
65/100 healthsyncora-ai /
Synthetic data generation demo using a UK retail transactional dataset. Ideal for professionals in retail, e-commerce, finance, and supply chain sectors who want to create privacy-preserving, realistic synthetic data for testing, analysis, and machine learning.
78/100 health