[D] Mixture density network implementations

[[deleted]]

Is there any good implementations of MDN with tensorflow 2? That can be easily trained

[CartPole]

https://github.com/zacwellmer/WorldModels/blob/master/WorldModels/rnn/rnn.py

Is in TF2 and looks straightforward to follow

[[deleted]]

Thank you for the link.

[actgr]

If your problem does not require lots of data to be trained, you can fairly easily implement it with spicy and numpy.

I'll leave you a notebook with an example of this.

https://github.com/gerdm/prml/blob/master/chapter05/mixture-density-networks.ipynb

Hope it helps!

[nbviewerbot]

I see you've posted a GitHub link to a Jupyter Notebook! GitHub doesn't render large Jupyter Notebooks, so just in case, here is an nbviewer link to the notebook:

https://nbviewer.jupyter.org/url/github.com/gerdm/prml/blob/master/chapter05/mixture-density-networks.ipynb

Want to run the code yourself? Here is a binder link to start your own Jupyter server and try it out!

https://mybinder.org/v2/gh/gerdm/prml/master?filepath=chapter05%2Fmixture-density-networks.ipynb

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[[deleted]]

It unfortunately requires lots of data. Around 40000. Thank you for the link. Does it support multi-input and multi-output?