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The Mighty Monitor Trainer for your pytorch models.

Project description

# pytorch-mighty

The Mighty Monitor Trainer for your pytorch models.

### Quick start

  1. Install [pytorch](
  2. $ pip install pytorch-mighty
  3. $ visdom -port 8097 - start visdom server on port 8097
  4. In a separate terminal, run python
  5. Navigate to http://localhost:8097 to see the training progress.
  6. Check-out more examples on []( Give your browser a few minutes to parse the json data.

### Articles, implemented in the package

  1. Fong, R. C., & Vedaldi, A. (2017). Interpretable explanations of black boxes by meaningful perturbation.
  2. Belghazi, M. I., Baratin, A., Rajeswar, S., Ozair, S., Bengio, Y., Courville, A., & Hjelm, R. D. (2018). Mine: mutual information neural estimation.
  3. Kraskov, A., Stögbauer, H., & Grassberger, P. (2004). Estimating mutual information.
  4. Ince, R. A., Giordano, B. L., Kayser, C., Rousselet, G. A., Gross, J., & Schyns, P. G. (2017). A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula. Human brain mapping, 38(3), 1541-1573.

### Projects that use pytorch-mighty

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Files for pytorch-mighty, version 0.1.0
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