thelper 0.1.0

Provides training help & tools for PyTorch-based machine learning projects.

This package provides a training framework and CLI for PyTorch-based machine learning projects. This is free software distributed under the Apache Software License version 2.0 built by researchers and developers from the Centre de Recherche Informatique de Montréal / Computer Research Institute of Montreal (CRIM).

For installation instructions, refer to the installation guide. For usage instructions, refer to the user guide. Information about the auto-generated documentation is available here.

Notes

Development is still on-going — expect the API and the internal classes to change rapidly.

The project’s structure was originally generated by cookiecutter via ionelmc’s template.

Changelog

0.1.0 (2018/11/28)

• Fixed readthedocs sphinx auto-build w/ mocking.

• Refactored package structure to avoid env issues.

• Rewrote seeding to allow 100% reproducible sessions.

• Cleaned up config file parameter lists.

• Cleaned up session output vars/logs/images.

• Add support for eval-time augmentation.

• Update transform wrappers for multi-channels & lists.

• Add gui module w/ basic segmentation annotation tool.

• Refactored task interfaces to allow merging.

• Simplified model fine-tuning via checkpoints.

0.0.2 (2018/10/18)

• Completed first documentation pass.

• Fixed travis/rtfd builds.

• Fixed device mapping/loading issues.

0.0.1 (2018/10/03)

• Initial release (work in progress).