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  1. dotfiles Public

    My personal dotfiles

    Shell

  2. SamsungLabs/ordered_dropout Public

    Technique of Ordered Dropout as used in the paper "Fjord: Fair and accurate federated learning under heterogeneous targets with ordered dropout", NeurIPS'21

    Jupyter Notebook 10 3

  3. SamsungLabs/FedorAS Public

    FedorAS: Federated Architecture Search under system heterogeneity

    Python 9 4

  4. awesome-mobile-llm Public

    Awesome Mobile LLMs

    116 10

  5. Maestro-LoD Public

    Forked from SamuelHorvath/Maestro-LoD

    Jupyter Notebook 1

  6. brave-experiments/MELT-public Public archive

    codebase for "MELTing Point: Mobile Evaluation of Language Transformers"

    Python 16 1

1,376 contributions in the last year

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Loading A graph representing stevelaskaridis's contributions from January 21, 2024 to January 23, 2025. The contributions are 84% commits, 10% pull requests, 3% issues, 3% code review.

Contribution activity

January 2025

65 contributions in private repositories Jan 2 – Jan 22
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