Code for Machine Learning for Trading, 3rd edition β from data sourcing to live execution.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
Free MLOps course from DataTalks.Club. Register here ππΌ to get notified about the next cohort
Multi-agent systems, memory, planning, reasoning loops
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
MONAI Tutorials
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations
A Collection of Google Colab Notebooks for various projects
Complex code hides connections, workflows, and business risks.Unvibe complex code. Trace business workflows.
A Simple Face Detection and Object Detection Workflow for Images and Real Time Video Streams