Map / Engineering / MLOps & Training
MLOps & Training
47 toolsThe 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.
- Solid: curated by our editors.
- Dashed: added by makers, not reviewed yet.
- Seal: Verified maker.
Experiment Tracking & CI/CD 7
Fine-tuning & RLHF 6
Pipeline Orchestration 6
Model Registry & Feature Store 5
ML Frameworks 23
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