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Added two visualization tools for the previously mentioned
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@ -588,6 +588,8 @@ on MNIST digits[DEEP LEARNING]
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* [emcee](https://github.com/dfm/emcee) - The Python ensemble sampling toolkit for affine-invariant MCMC.
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* [windML](http://www.windml.org) - A Python Framework for Wind Energy Analysis and Prediction
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* [vispy](https://github.com/vispy/vispy) - GPU-based high-performance interactive OpenGL 2D/3D data visualization library
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* [cerebro2](https://github.com/numenta/nupic.cerebro2) A web-based visualization and debugging platform for NuPIC.
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* [NuPIC Studio](https://github.com/nupic-community/nupic.studio) An all-in-one NuPIC Hierarchical Temporal Memory visualization and debugging super-tool!
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<a name="python-misc" />
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#### Misc Scripts / iPython Notebooks / Codebases
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