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The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires., , , , , , , , , and 32 other author(s). Nat. Mach. Intell., 3 (11): 936-944 (2021)Modern Hopfield Networks and Attention for Immune Repertoire Classification., , , , , , , , , and 1 other author(s). NeurIPS, (2020)Hopfield Networks is All You Need, , , , , , , , , and 6 other author(s). (2020)cite arxiv:2008.02217Comment: 10 pages (+ appendix); 12 figures; Blog: https://ml-jku.github.io/hopfield-layers/; GitHub: https://github.com/ml-jku/hopfield-layers.immuneSIM: tunable multi-feature simulation of B- and T-cell receptor repertoires for immunoinformatics benchmarking., , , , , , , and . Bioinform., 36 (11): 3594-3596 (2020)Improving generalization of machine learning-identified biomarkers with causal modeling: an investigation into immune receptor diagnostics., , , , , , and . CoRR, (2022)Hopfield Networks is All You Need., , , , , , , , , and 5 other author(s). CoRR, (2020)Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity prediction., , , , , , , , , and 15 other author(s). Nat. Comput. Sci., 2 (12): 845-865 (2022)