Implementation of RegretNet with Pytorch

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
Horris zhGu
ML for NLP and Computer Vision.

Sparrow is our open-source ML product. It runs on Skipper MLOps infrastructure.

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