To run phi learning on linear gaussian (Fig1a)
python linear_gaussian_phi_learning.py
To run phi and theta learning on linear gaussian (Fig1b)
python linear_gaussian_model_learning.py
To run CTRNN experiment
python CTRNN_run_with_hydra.py
To run sequential VAE experiment
python dmlab.py
- pytorch
- hydra (for hyperparameter config) https://github.com/facebookresearch/hydra
- scipy
- tqdm
MADGRAD Optimization Algorithm For Tensorflow This package implements the MadGrad Algorithm proposed in Adaptivity without Compromise: A Momentumized,
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Step by Step on how to create an vision recognition model using LOBE.ai, export the model and run the model in an Azure Function
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Final Project for the CS238: Decision Making Under Uncertainty course at Stanford University in Autumn '21. We optimized wind turbine placement in a wind farm, subject to wake effects, using Q-learni
About Distributed faiss index service. A lightweight library that lets you work with FAISS indexes which don't fit into a single server memory. It fol
xRBM Library Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow Installation Using pip: pip install xrbm Examples Tut
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