cellmap_flow.finetune
Human-in-the-loop finetuning for CellMap-Flow models.
This package provides lightweight LoRA-based finetuning for pre-trained models using user corrections as training data.
The names below are imported when first used (PEP 562): importing a light
submodule – markers or job_manager.tailer, which the dashboard
reads a training job’s log with – used to import torch, the trainer and the
dataset code first.
Submodules
- cellmap_flow.finetune.adaptation
- cellmap_flow.finetune.build_corrections
- cellmap_flow.finetune.cli
- cellmap_flow.finetune.crop_loader
- cellmap_flow.finetune.data
- cellmap_flow.finetune.export_merged
- cellmap_flow.finetune.finetune_cli
- cellmap_flow.finetune.finetuned_model_templates
- cellmap_flow.finetune.instance_flows
- cellmap_flow.finetune.job_manager
- cellmap_flow.finetune.json_files
- cellmap_flow.finetune.lora_trainer
- cellmap_flow.finetune.lora_wrapper
- cellmap_flow.finetune.losses
- cellmap_flow.finetune.markers
- cellmap_flow.finetune.model_loading
- cellmap_flow.finetune.run_outputs
- cellmap_flow.finetune.session
- cellmap_flow.finetune.session_loop
- cellmap_flow.finetune.target_transforms
- cellmap_flow.finetune.trainable