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  1. IMN IMN Public

    [NeurIPS 2024] Mesomorphic Interpretable Networks for Tabular Data

    Python

  2. DPL DPL Public

    [NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benchmarks.

    Python

  3. DyHPO DyHPO Public

    [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations

    Python

  4. WellTunedSimpleNets WellTunedSimpleNets Public

    Forked from machinelearningnuremberg/WellTunedSimpleNets

    [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets

    Python 9

  5. VAE VAE Public

    A toy example of VAEs.

    Python

  6. NanoGPT NanoGPT Public

    A simple implementation of a NanoGPT-2 model.

    Python