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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 6

5. VAE VAE Public

   A toy example of VAEs.

   Python

6. NanoGPT NanoGPT Public

   A simple implementation of a NanoGPT-2 model.

   Python