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Code for "Learning to Generate Reviews and Discovering Sentiment"

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The line just below the diagram is written as, " Additionally there is a PyTorch port made by @guillitte which demonstrates how to train a model from scratch." There is...

The line just below the diagram is written as, " Additionally there is a PyTorch port made by @guillitte which demonstrates how to train a model from scratch." There is...

I want to use this model to convert an opinion to a vector somehow (or at least arrive at an approximation of that). E.g. "I'm an atheist" and "I believe...

Can we expect generation to be implemented? If not, any pointers to implementing it yourself?

I can't find a way how to incorporate this model to my code? I just need to get sentiment scores on some Feedbacks. As this model is pre-trained, it will...

I tried using it in a Flask app. There's a global variable issue, so model doesn't work for 2nd time initialization. 'nloaded' is saturated to '13' in 'load_params'. So, the...

I see that your model is designed for sentiment classification. But in the paper it was mentioned that it was able to generate text (specifically, I quote: "Examples of synthetic...

I'm looking for a way to parallel the transform function. I know that TensorFlow [supports](https://www.tensorflow.org/tutorials/using_gpu) that but I couldn't manage to implement it properly in the code. Help anyone?

When I am trying to run the example. But i am facing this issue at this line ``` xmb[i, -l:] = list(x) Traceback (most recent call last): File "", line...

Function `generate_sequence()` resolves #12 and takes an initial string, a dictionary that overrides hidden states, the stopping condition, and a mode for which (greedy) sampler to use. Usage: `positive =...