The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

Software Engineering for AI/ML -- An Annotated Bibliography

Data Engineering Pilipinas is a community for data engineers, data analysts, data scientists, developers, AI / ML engineers, and users of closed and open source data tools and methods / techniques in the Philippines. Data Engineering Pilipinas is a PyData group.

Real-time data processing/feature engineering tailored for modern AI/ML systems.

A curated collection of free, high-quality resources for learning about AI, including ML, deep learning, generative AI, natural language processing, data science, prompt engineering & AI ethics. It provides links to courses, tutorials and guides from reputable platforms to help learners and practitioners at all levels expand their knowledge in AI

AI and ML lab programs VTU 18 Scheme 18CSL76 for computer science and information science engineering 7th sem

A hands-on NLP/ML curriculum for trainees and juniors who already know basic Python, ML and want to get production-ready in AI/ML engineering from embeddings to production APIs.

The world's no 1 classroom for incubating AI talent. 4 months of hands-on, no-BS technical training in ML, LLMs and Production AI engineering.

🚞 Software 🚂 Engineering 🚃 with the 🚅 Power of 🚋 Machine 🚁 Learning 🛳 AI Adaptive ✈ systems 🛩 smart 🚀 refactoring 🚢 self-healing 🛸Test case 🚟 generation ⏰ bug ☂ prediction ⛱ and auto 🛬 remediation 🚝 Embedding 🕌 AI into 🏚 user 🏭 facing 🎠 systems 🚒

ML Sys + Hardware/Software co-design, Awesome List of AI Engineering topics and learning resources. Learn basics to advanced topics to become an AI engineer at top research labs like OpenAI and DeepSeek

BMAD AI/ML Engineering Expansion Pack - Streamlined framework for AI Singapore programs (MVP, POC, SIP, LADP) with specialized agents, workflows, and templates for ML/LLM development

A deep technical article exploring how AI, feature engineering, and static smart-contract analysis uncover rugpull risks before humans detect them. Covers Solidity pattern mining, mint abuse detection, blacklist/fee manipulation signals, ML-inspired scoring models, and how to quantify ERC-20 token scam probability.

AI co-pilot for data analytics, data engineering, and ML science

💎ᴠɪᴘ Free online Learning with Professional Certifications. Free online courses with certificates in various fields such as Gen AI, Prompt Engineering, Data Science, AI, ML. Welcome to our Online Course Portal project! 🚀

Personal GitHub profile showcasing expertise in AI/ML engineering, generative AI, data science, and scalable production-ready solutions.

Calpyt1 is a next-level Python framework for symbolic, numerical, and applied calculus, designed for engineering, robotics, physics, finance, and AI/ML applications. It integrates symbolic math, numerical solvers, optimization, simulation, and visualization in a single modular package.

Essential books engineers should read to learn the topics they need to know about building machine learning systems.

A simple application of AI-ML in Civil Engineering to predict the concrete compressive strength

MCP server combining Qdrant vector search, Neo4j knowledge graphs, and Crawl4AI web intelligence with agentic RAG capabilities. FastMCP 2.0 architecture with enterprise security, monitoring, and Kubernetes deployment. AI/ML engineering powerhouse.

Your ultimate guide to mastering tech in 2025! This repo offers structured roadmaps for AI/ML, Blockchain, Cloud Computing, Cyber Security, Data Science, DevOps/SRE, Game Development, IoT, Quantum Computing, and Software Engineering.

This AI Agent production-grade autonomous agent that plans, executes, and evaluates complex tasks by orchestrating Large-Language-Model reasoning with enterprise data tools. Its architecture deliberately spans three languages to showcase full-stack ML engineering depth:

Educational project developed during the AI Engineering postgraduate program at UNIPDS, led by Erick Wendel. Explores ML-based investment recommendations for beginners using TensorFlow.js, ChromaDB and Express, with a clean MVC architecture and Web Workers for model training.

Seeknal is an all-in-one platform for data and AI/ML engineering

Complete roadmap to become an AI Security Engineer from zero to advanced — covering Python, ML, Deep Learning, LLM Engineering, RAG Security, Intrusion Detection, Anomaly Detection, and a full Master Project (AI-Powered Security Analyst).

Complete 90-day learning path for AI security: ML fundamentals → LLM internals → AI threats → Detection engineering. Built from first principles with NumPy implementations, Jupyter notebooks, and production-ready detection systems.

46 projects on a full spectrum of Advanced Data Science, AI, Machine Learning, Deep Learning skills, including EDA, Data Visualization, traditional ML Fundamentals (Regression, Classification, Clustering, Ensemble methods) using TensorFlow/Keras, PyTorch, Scikit-Learn, Pandas, NumPy, & more, implemented in Python scripts & Jupyter Notebooks.k

Welcome! This portfolio highlights my projects in software development, data engineering, analytics, and AI/ML. Feel free to explore, connect, or collaborate!

Curated collection of 700+ free AI/ML resources: courses, papers, tools, datasets, tutorials for beginners to advanced | Machine Learning | Deep Learning | NLP | Computer Vision | Generative AI | Prompt Engineering

AI Dev OS is a production-grade autonomous AI agent orchestration platform that combines six cutting-edge AI/ML technologies into a unified workflow. It enables autonomous agents to handle complete engineering tasks—from design through deployment—with human oversight at critical checkpoints.

A repo containing all the projects I'm doing in kaggle in my journey to learn ML/AI engineering. Feel free to star/fork the repo if you wish to.