Reference version for low-energy performance paper

What's Changed

• Added i3 extractor and general dataconverter by @RasmusOrsoe in #1
• Added Google-style Docstrings by @RasmusOrsoe in #13
• Configure package according to proposed directory structure by @asogaard in #12
• Setup workflow with unit tests and linting by @asogaard in #17
• Refactor SQLiteDataConverter and DataConverter by @asogaard in #18
• Add Sphinx automatic API documentation as part of build pipeline by @asogaard in #24
• Auto-add pylint and coverage badges to README by @asogaard in #27
• Restructure I3Extractor class to make it more modular and object-oriented by @asogaard in #30
• Add torch Dataset-inheriting class for SQLite "backend" by @asogaard in #32
• Update licence in setup file and add badge by @asogaard in #31
• Major changes by @RasmusOrsoe in #33
• Make additional installs (e.g. pytorch) user-specific by @asogaard in #36
• Build pipeline by @asogaard in #35
• Added trainer for multiple datasets (robustness test) by @RasmusOrsoe in #37
• Added persistent_workers as argument by @RasmusOrsoe in #39
• Minimal conda environments file by @asogaard in #38
• Robustness changes by @RasmusOrsoe in #50
• Modularising models by @asogaard in #40
• Update test_model_training_sqlite.py by @RasmusOrsoe in #66
• Upgrade MC by @asogaard in #67
• Reproducibility by @asogaard in #68
• Added binned resolution plot script by @RasmusOrsoe in #69
• Changed save_results to use .state_dict and created corresponding load_model function by @kaareendrup in #70
• Resolve duplications by @asogaard in #74
• Add convenience class methods for saving and loading models by @asogaard in #75
• Comparison study of new vs. legacy model implementations by @asogaard in #73
• Minor tweaks by @asogaard in #79
• Small updates to vonmisesfisher study training script by @RasmusOrsoe in #80
• Stable vmf by @asogaard in #82
• Fixed error related to new model saving/loading method and early stopping method by @RasmusOrsoe in #81
• Containerisation by @asogaard in #83
• Linting improvements by @asogaard in #86
• Adding BinaryClassification Task, BCELoss and GetEventNumbers in utils by @BozianuLeon in #92
• Implementing pytorch-lightning by @asogaard in #94
• Training on upgrade MC by @asogaard in #96
• Vertex reconstruction, add tasks and constant by @kaareendrup in #95

New Contributors

• @RasmusOrsoe made their first contribution in #1
• @asogaard made their first contribution in #12
• @kaareendrup made their first contribution in #70
• @BozianuLeon made their first contribution in #92

Full Changelog: https://github.com/icecube/graphnet/commits/v0.1.1