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Awesome GitHub RepositoriesPerformance Metrics
Tools for calculating and visualizing statistical performance indicators for machine learning models.
Distinguishing note: Focuses on the mathematical calculation of precision and recall metrics, rather than the broader evaluation workflow.
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Awesome Performance Metrics GitHub Repositories
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- open-mmlab/mmdetection
open-mmlab/mmdetection
32,409View on GitHubThis 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
The project calculates average precision metrics for detection models by evaluating precision-recall curves or specific recall points across single or multiple scales.
Pythoncascade-rcnnconvnextdetr
