ONNX (Open Neural Network Exchange) is an open ecosystem that provides an open source format for AI models, including deep learning and traditional ML. It defines an extensible computation graph model, built-in operators, and standard data types, focusing on inferencing capabilities. Widely supported across frameworks and hardware, it enables interoperability and accelerates AI innovation.
Streamlit is an open-source app framework that turns Python scripts into shareable web apps in minutes. It enables data scientists and AI/ML engineers to build interactive data apps like dashboards, reports, or chat apps using pure Python, without front-end experience.
MLSysBook (Machine Learning Systems) is an open, community-driven textbook and learning stack for AI systems engineering led by the Harvard EDGE / MLSysBook community. The repository houses the textbook source, TinyTorch (a small educational DL framework), hardware lab kits, and supporting materials to teach how to design, build, benchmark, and deploy real-world machine learning systems.
