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.
Neural Activation Coding This repository contains the code for the paper "Unsupervised Representation Learning via Neural Activation Coding" published
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AIAlpha: Multilayer neural network architecture for stock return prediction This project is meant to be an advanced implementation of stacked neural n
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