Implementation of RegretNet with Pytorch

Last update: Nov 05, 2021

Overview

Dependencies are Python 3, a recent PyTorch, numpy/scipy, tqdm, future and tensorboard.

Plotting with Matplotlib.

Implementation of the neural network is in the module regretnet.

To train and test auction networks, use the scripts train.py and test.py; sample_scripts.sh gives some examples of how to invoke these.

Pretrained models are in the model directory.

Owner

Horris zhGu

working on Data Science

GitHub Repository

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Implementation of RegretNet with Pytorch

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Overview

Owner

Horris zhGu

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