tensorboard for pytorch (and chainer, mxnet, numpy, ...)
A collection of infrastructure and tools for research in neural network interpretability.
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Python package to visualize some processes involved in Machine learning.
An intuitive library to add plotting functionality to scikit-learn objects.