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
0.2.1 (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).
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