machine learning frameworks

Overview comparing leading open-source AI tools for building, training, and deploying models. Evaluates frameworks, model hubs, and MLOps stacks on features, performance, ease of use, community, and licensing. Highlights strengths, trade-offs, and best-fit use cases across NLP, CV, and LLMs, with setup tips, lightweight vs. enterprise options, and a checklist to choose the right stack.