A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

A Noise-Resilient Hybrid Imputation-Ensemble (NR-HIE) framework designed to bridge the generalizability gap in medical AI. Utilizing a triple-stream imputation strategy and stacked generalization, this model achieved 81.62% accuracy on external validation data, ensuring robust and medically safe diabetes prediction

Robust mixed-variable NSGA-III challenger search for less discriminatory tabular models.

Agreement-Aware Orthogonal Routing Attention (AORA-Light): lightweight dual-branch transformer attention for robustness to non-consensus signals.

Adversarial security toolkit for federated learning, including poisoning and backdoor resilience workflows.

Production-ready framework for training robust computer vision models. Features multi-GPU support, EMA tracking, label smoothing, and comprehensive robustness evaluation across 4 noise types. Includes scalable TF.Data pipeline, automated testing, Docker support, and CLI tools. Install: pip install robust-vision