1 repo
Tools for transforming trained models into optimized formats for deployment.
Distinguishing note: Focuses on backend-specific conversion for inference rather than general infrastructure management.
Explore 1 awesome GitHub repository matching devops & infrastructure · Model Conversion. Refine with filters or upvote what's useful.
This project is a modular research toolkit designed for developing, training, and evaluating deep learning models for object detection, segmentation, and video instance tracking. It provides a flexible training engine that manages complex neural network execution, including distributed training, custom lifecycle hooks, and weight optimization. The framework is built around a hierarchical configuration system that allows users to define architectures, data pipelines, and training hyperparameters through composable, inheritable files. The project distinguishes itself through its highly modular
Converts trained models into backend-specific formats like ONNX for deployment and inference.