Engineering

MLOps & Training

45 tools · 5 subcategories

The engineering discipline around the model lifecycle: experiment tracking with MLflow and DVC, fine-tuning and RLHF with Axolotl, TRL, and unsloth, pipeline orchestration with Airflow and Kubeflow, model registries and feature stores, and core ML frameworks like PyTorch underneath it all.