Deploy and manage ML/AI infrastructure on your own servers. Slothfully simple.
Automate the tracking, downloading, and analysis of AI papers from HuggingFace. Stay updated with cutting-edge research effortlessly! 🐙📄
How to track model changes in Django and execute dependent workflows
Covers essential features like model tracking, versioning, and experiment, providing a foundation for efficient ML project lifecycle management.
MLflow adapter for CrateDB.
Credit Scoring model using XGBoost, tracked with MLflow, and explained using SHAP for interpretability.
Daily snapshots, CSV releases, dashboard, and API for Hugging Face models, arXiv papers, and LMArena rankings.
An end-to-end MLOps pipeline for automating the training, deployment, and monitoring of a machine learning application designed to assess mental well-being signals based on behavioral data.
Add a description, image, and links to the model-tracking topic page so that developers can more easily learn about it.
To associate your repository with the model-tracking topic, visit your repo's landing page and select "manage topics."