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Created with Raphaël 2.2.022May8732130Apr2922212019181716854229Mar21191817161413118765128Feb272624222019161413129875229Jan242322191722Dec141319Sep518Aug17161514865432131Jul3028272622Jun22May16151211109818Apr171615[tests.test_cli] Fix default output directory for train analysis[engine.callbacks] Be more specific about the type of missing logs[scripts.train_analysis] Add indication of lowest validation loss epochs on loss plots (closes #70)[tests/data/histograms] Pretty format[pre-commit] Update and add further rules; clean-up[pixi] Update lockfile[pyproject] Remove dev deps from test-ci-alternative[pyproject] Use python-version-agnostic environment name[ci] Also install libopengl0 via apt[dockerfile] Add installation of libegl1[ci] Also install libegl1 via aptMerge branch 'loss-balancing' into 'main'[pyproject] Depend on matplotlib-base for conda packages[trainer] Hardcode name of loss to monitor[logging] Prevent PL from adding dataloader index to logged metrics[model] Use a single type of loss for train and validation[model] Fix detection of binary targets in loss balancing[doc] Add base Model to documentation[model] Model takes loss type and arguments during instanciation[model] Fix balancing of multiclass targets[tests] Update cli tests[train] Add support for multiple validation dataloaders[train] Use loss balancing instead of sampler balancing[model] Use base model[model] Create base Model classMerge branch 'add-dockerfile' into 'main'[doc] Fix config[precommit] Remove author[dockerfile] Fix environment copy[dockerfile] No need to run pixi info[dockerfile] Use different endpoint for entrypoint script[pixi] Update lockfile[dockerfile] Install pip and properly configure pixi[dockerfile] Try a different strategy for wheel installation[dockerfile] Try to build using a pixi ready-made image[pyproject] Do not install cuda runtime (expect it on the host machine)[dockerfile] Use CUDA runtime image[dockerfile] Use CUDA base image[dockerfile] Improve base prototype[pixi] Simplify cuda setup for users