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How to synthesize audio files in python in a GAN(Generative Adversarial Network)? [closed]

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Are there specific python libraries which we can use to generate audio files?
What is the noise that we provide in this case
Which external libraries are useful
Basic Research
Got to know that we have to use vectors to generate audio signals rather than tensors in case of images

JProfiler equivalent for Python [closed]

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Please suggest JProfiler equivalent for Python 3+.
The key need is the visualization of methods invocation stack with cumulative time duration (aim is performance optimization)
There is an ideal example of a visualization that I'm looking for:

Is there a package that will run monte-carlo cross validation in python? [closed]

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I am looking for a python package that supports Monte Carlo Cross Validation (Repeated random sub-sampling validation). SkLearn has k-fold, but this will not allow me to specify the ratio of training/testing.
I have seen a package in R that will supposedly achieve this (Caret), but is there an equivalent for python?

The package you're after is in fact available in Scikit learn, but is called ShuffleSplit.
Check also the user guide here, where the function is referred to as Random permutations cross-validation.

Extract Entities and Relationships [closed]

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Given text documents (student essays with about 100 words per essay) I want to extract entities and relationships important to the context of the sentence (maybe by considering Noun Phrase and Verb Phrase) to automatically score the answer.
Are there any popular algorithms/tools that I can use to perform this task?

It would be helpful if you could be more specific, but in general this problem is known as Information Extraction. One example software package that deals with it is Standford NLP's open information extraction system. Example use:

Where do I begin to look for image matching libraries in python? [closed]

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Simply stated, I have to match images based on similarities. So if two images of different size happen to be the same, or if they differ only by watermark, they can be matched as the same.
I know python must have at least a starting implementation of this, but I cannot seem to find it. What would this be called in python-ese or imaging science?

You can try OpenCV which has a Python interface.
See this question for using OpenCV to do image matching:
Checking images for similarity with OpenCV.