R-universe - sulkysubject37 (MD. Arshad)

BioMoR - Bioinformatics Modeling with Recursion and Autoencoder-Based Ensemble

Provides tools for bioinformatics modeling using recursive transformer-inspired architectures, autoencoders, random forests, XGBoost, and stacked ensemble models. Includes utilities for cross-validation, calibration, benchmarking, and threshold optimization in predictive modeling workflows.

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autoencoderbenchmarkingbioinformaticscalibrationdeep-learningensemble-learningfeaturemachine-learningmixture-of-recursions

4.18 score 5 scripts 274 downloads

resLIK - Representation-Level Control Surfaces for Reliability Sensing

Implements the Representation-Level Control Surfaces (RLCS) paradigm for ensuring the reliability of autonomous systems and AI models. It provides three deterministic sensors: Residual Likelihood (ResLik) for population-level anomaly detection, Temporal Consistency Sensor (TCS) for drift and shock detection, and Agreement Sensor for multi-modal redundancy checks. These sensors feed into a standardized control surface that issues 'PROCEED', 'DEFER', or 'ABSTAIN' signals based on strict safety invariants, allowing systems to detect and react to out-of-distribution states, sensor failures, and environmental shifts before they propagate to decision-making layers.

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3.00 score 4 scripts 178 downloads