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1. EASE-Prompt-Optimization EASE-Prompt-Optimization Public

   An efficient automated exemplar selection method that uses a neural bandit algorithm to optimize the set of exemplars for in-context learning while accounting for exemplar ordering.

   Python 8

2. DAVINZ-DataValuation DAVINZ-DataValuation Public

   Training-free data valuation on deep neural network applications. (ICML-2022)

   Python 27

3. VolumeBased-DataValuation VolumeBased-DataValuation Public

   Validation free and replication robust volume-based data valuation method. (NeurIPS-2021)

   Jupyter Notebook 7 2

4. Incentive-Aware-FL Incentive-Aware-FL Public

   A novel algorithm that distributes training-time model rewards to incentivize client contributions for federated learning. (ICLR-2024)

   Python 18 1

5. Trusted-Maximizers-Entropy-Search-BO Trusted-Maximizers-Entropy-Search-BO Public

   Official implementation of the UAI 2021 paper "Trusted-Maximizers Entropy Search for Efficient Bayesian Optimization".

   Python 3

6. nginyc/rafiki nginyc/rafiki Public archive

   Rafiki is a distributed system that supports training and deployment of machine learning models using AutoML, built with ease-of-use in mind.

   Python 35 22