GitHub - felixhorger/Deep-Learning-for-Sampling-from-Arbitrary-Probability-Distributions: Python source code for the fully connected neural networks developed in the paper https://arxiv.org/abs/1801.04211

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Name		Name	Last commit message	Last commit date
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1d_samplemapper.py		1d_samplemapper.py
1to1_samplemapper.py		1to1_samplemapper.py
2d_samplemapper.py		2d_samplemapper.py
README		README
inversionsampling.py		inversionsampling.py

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This project is about sampling from arbitrary probability densities using a fully connected
neural network.

The corresponding paper can be found at: https://arxiv.org/abs/1801.04211