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Training framework & tools for PyTorch-based machine learning projects.

Project description

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

0.2.2 - 0.2.5 (2019/01/29)

  • Fixed travis-ci matrix configuration

  • Added travis-ci deployment step for pypi

  • Fixed readthedocs documentation building

  • Updated readme shields & front page look

  • Cleaned up cli module entrypoint

  • Fixed openssl dependency issues for travis tox check jobs

  • Updated travis post-deploy to try to fix conda packaging (wip)

0.2.1 (2019/01/24)

  • Added typedef module & cleaned up parameter inspections

  • Cleaned up all drawing utils & added callback support to trainers

  • Added support for albumentation pipelines via wrapper

  • Updated all trainers/schedulers to rely on 0-based indexing

  • Updated travis/rtd configs for auto-deploy & 3.6 support

0.2.0 (2019/01/15)

  • Added regression/segmentation tasks and trainers

  • Added interface for pascalvoc dataset

  • Refactored data loaders/parsers and cleaned up data package

  • Added lots of new utilities in base trainer implementation

  • Added new unit tests for transformations

  • Refactored transformations to use wrappers for augments/lists

  • Added new samplers with dataset scaling support

  • Added baseline implementation for FCN32s

  • Added mae/mse metrics implementations

  • Added trainer support for loss computation via external members

  • Added utils to download/verify/extract files

0.1.1 (2019/01/14)

  • Minor fixups and updates for CCFB02 compatibility

  • Added RawPredictions metric to fetch data from trainers

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).

Project details


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