Thriving 
PY CY [~] IntegratedPipeline is a Deep-learning Library for Non-LLM memory Augmented ML Framework, Specifically designed to provide capability for users to create any Autonomous Machine-learning model locally and Coordinatively that runs efficiently on small embedded systems to High end embedded systems, While continuously learning and runs efficiently.
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Specialized Python framework that provides Continual learning with persistent memory capability for Machine-learning Models
Machine Learning Framework that Creates a Model that can Continuously learn, backed by augmented memory from SQLite Database to store Weights, in which each a Model memory is Auditable, Transparent, and allows user to Create a different Memory for the Model to learn new Things, without overwriting the previous saved, Trained weights inside the SQlite database from different Tasks. users can firstly Train the Model, and load the required Weights for that specific memory name for later usage, Train the current Model with another task while Preserving the previous Trained weights as memory inside the SQlite database.
[!IMPORTANT] This framework does not provide a standalone, new novel Deep-learning algorithms for a near-perfect Continual…