RGAN
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ratschlab
Recurrent (conditional) generative adversarial networks for generating real-valued time series data.
Hello, I am attempting to run this code: `python3 experiment.py --settings_file test` But I am running out of memory (OOM error): ``` 2017-12-09 23:17:18.540786: W tensorflow/core/common_runtime/bfc_allocator.cc:277] ***************************************************************************************************x 2017-12-09 23:17:18.540796: W...
Hello everybody, I am currently trying to convert RGAN to MXNet Gluon. But I still cannot reproduce the results. So I think there are some issues in my code. Some...
Hi, I'm trying to train the RGAN to reproduce your results on the eICU data. I've got the eICU dataset, but I'm not sure of how you pre-processed/reshaped it? Would...
I clone the code and download the mnist in csv, run `python experiment.py --settings_file mnistfull`. Almost all images generated in experiments/plot are digit as '1' after 250 epoches which seems...
Hi, I'm trying to train the RGAN to reproduce your results from section 5 table 2 of the manuscript. I've got the eICU dataset, but I'm not sure of how...
Hi guys! Is it possible for you to add some more detailed documentation on the plotting.py file? Also i wanted to ask if i just wanted to recreate your experiment...
I believe your `scale_data()` is scaling horizontally across the signals rather than down the time series for each of signal itself. I used: `def scale_linear_bycolumn(rawpoints, high=1.0, low=-1.0):` ` mins =...
Hi, I'm trying test experiment (sin wave). I cannot understand the results. This plot is generated samples through experiment.  How do I interpret this result ?
hi, I am going to use do the eICU dataset experiment from section 5 of the manuscript.As i have not got the eICU dataset , i don't know 7 labels...
