Dear Sreejith ,

I think so. By focusing on some equivalences:

-> By first linking Fast-and-Frugal-Trees to Decision Trees & Random Forests:

• Phillips et al., " FFTrees: A toolbox to create, visualize, and evaluate fast-and-frugal decision trees ", 2017 - http://journal.sjdm.org/17/17217/jdm17217.pdf
• L. Breiman, "Random Forests", 2001 - https://link.springer.com/content/pdf/10.1023/A:1010933404324.pdf
• Biau et al., " A Random Forest Guided Tour ", 2015 -

  Article A Random Forest Guided Tour

-> By switching then to Neural Decision Forest:

• Biau et al., " Neural Random Forests ", 2016 - https://hal.archives-ouvertes.fr/hal-01306340/document

-> and finally by linking Neural Decision Forests to CNNs and Deep Learning:

• Ioannou et al., " Decision Forests, Convolutional Networks and the Models in-Between ", 2016 - https://arxiv.org/pdf/1603.01250.pdf
• Kontschieder et al., " Deep Neural Decision Forests ", 2015 - https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Kontschieder_Deep_Neural_Decision_ICCV_2015_paper.pdf
• Dalal et al., " Decision Trees & Random Forests x Conolutional Neural Networks ", 2016 - http://web.eng.tau.ac.il/deep_learn/wp-content/uploads/2017/03/DT-x-DNN.pdf

Regards

To the best of my mind, no specific tool is available. However, that doesn't mean that you can't creat your own tool or even customise some existing ones to merge both the above mentioned methods.

Both should have a meeting point in the area of Algorithm Applications. We may need to look deep into this.....