UETAI

Machine Learning analyzing and debugging tools integrated tracking experiment systems.

UETAI is a customize PyTorch logger which will able to help users track machine learning experiment, and esily debug raw datasets and trained models.

UETAI provided tools for helping user tracking their experiment, visualizing the dataset, results, and debuging the model (and the raw dataset also) with little effort by integrated the tools into the dashboards which users are using for logging.

Note

In this beta version, we will only focus on integrated Comet ML, which is amazing dashboard with well-writen API and customable panel

Guides

Starting to logging and debugging your model with Quickstart

• Logging your Experiment: Easy logging to your favourite dashboard with UETAI.

• Visualizing and validating your Data: Visualizing with you dashboard and gain insights with UETAI’s analysis tools.

• Debugging your Model: Debug your model with UETAI’s explainable tools.

Tables of Contents

• Quickstart
  • Install uetai
  • Start logging

Getting Started

• Best Practises
• Guides

Advanced

• Reference
  • uetai package
• Release
  • Version 0.1.1
• About us
  • Who are we?

Indices and tables

• Index

• Module Index

• Search Page