R package for evaluating continuous predictions and their quantified uncertainty using complementary performance metrics and diagnostic visualisations, including Taylor, solar, and target diagrams.
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Updated
Sep 9, 2026 - R
R package for evaluating continuous predictions and their quantified uncertainty using complementary performance metrics and diagnostic visualisations, including Taylor, solar, and target diagrams.
[Mirror of https://gitlab.braingenix.org/carboncopies/] BrainGenix-EVM offers evaluation metrics for assessing accuracy in reconstructing neuronal systems, crucial for Whole Brain Emulation. Our platform provides both structural and functional validation metrics, ensuring fidelity in neural network topology and behavior replication.
TF Object Detection API with simultaneous validation & more validation metrics!
Gradient-Weight Alignment as a Train-Time Proxy for Generalization in Classification Tasks
Hierarchical Multi Class validation metrics:HMC-loss
A lightweight Python package for internal clustering validation metrics.
Compare. Validate. Visualise. A browser-based tool for comparing two gridded NetCDF datasets: align, score, map and export.
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