Awesome GitHub RepositoriesModel Serialization Formats

TensorFlow is a comprehensive machine learning framework designed for the construction, training, and deployment of complex mathematical models. It utilizes a graph-based execution model that represents operations as directed acyclic graphs, enabling automatic differentiation and efficient parallel processing. The syst

Encapsulates model architecture, weights, and metadata into a portable format for consistent deployment across heterogeneous environments.

PaddleOCR is a comprehensive optical character recognition framework designed for detecting and transcribing text from images and documents into structured, machine-readable formats. It provides a modular computer vision pipeline that decouples image preprocessing, text detection, and character recognition into indepen

Encapsulates model architecture and weights into standardized formats to ensure portability across different deployment environments.

Unsloth is a high-performance training and inference platform designed to optimize the lifecycle of large language and multimodal models. It provides a comprehensive engine for fine-tuning, executing, and managing models locally, with a focus on reducing memory consumption and increasing compute speed on consumer-grade

Serialized weight formats ensure consistent compatibility across diverse inference engines and deployment environments.