The GENLOG pipeline depicted in the above Figure and all the processing steps, model training, and data generation are implemented using python. The LSTM is implemented with the Tensorflow backend which uses CUDA for GPU accelerated training. The repository can be found at

Available Log Files

Below are the example files which can be used by clicking the checkbox in front of the file name and then starting a training run. The files can also be download for inspection. If you wish to upload your own yaml file please make sure it follows the structure.

File Upload

Select one or many of the above Files for a new training run

Available Training Runs

After the training is complete the resulting jupyter notebok can be accessed through the EVALUATE button as the exported html file showing the figures and descriptions for evaluation and the generated logs can be downloaded with the DOWNLOAD GEN LOGS button which can also be uploaded and used as the input for GENLOG.