Versions
Description
Classification Report is a high-level library built on top of Pytorch which utilizes Tensorboard and scikit-learn and can be used for any classification problem. It tracks models Weight, Biases and Gradients during training and generates a detailed evaluation report for the model, all of this can be visualized on Tensorboard giving comphrensive insights. It can also be used for HyperParameter tracking which then can be utilized to compare different experiments.
Repository
https://github.com/aman5319/Classification-Report.git
Project Slug
classification-report
Last Built
4 years ago passed
Maintainers
Home Page
https://github.com/aman5319/Classification-Report
Badge
Tags
classification-model, loss-tracking, metrics-visualization, model-evaluation, model-weight-tracking, tensorboard, tensorboard-visualization
Short URLs
classification-report.readthedocs.io
classification-report.rtfd.io
Default Version
latest
'latest' Version
master
