👉 ML Fluid (Machine Learning Fluid) is an open-source, modular framework designed to facilitate the development, deployment, and management of machine learning models. It provides a unified interface for integrating various machine learning algorithms and tools, enabling seamless experimentation, model training, and serving. ML Fluid supports a wide range of frameworks, including TensorFlow, PyTorch, and Scikit-learn, making it highly versatile for different use cases. Its modular architecture allows developers to customize and extend functionalities, while its robust monitoring and logging capabilities ensure transparency and reliability in model performance. By abstracting away many of the underlying complexities, ML Fluid empowers data scientists and engineers to focus on building effective models rather than managing infrastructure.
