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Experimenting with kernel density estimation and (soft) histograms using tensorflow data flow graphs.

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kernelflow

Experimenting with kernel density estimation and soft histograms (as in differentiable sample statistical summaries) using tensorflow data flow graphs.

Development environment installation

A Python installation with TensorFlow >= 1.4 is required. The pytest library is required to execute the battery of tests.

git clone https://github.com/pablodecm/kernelflow.git 
pip install -e kernelflow

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Experimenting with kernel density estimation and (soft) histograms using tensorflow data flow graphs.

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