The Institute for Ethical Machine Learning compiled this amazing curated list of open source libraries that will help you deploy, monitor, version, scale, and secure your production machine learning.

🔍 Explaining predictions & models	🔏 Privacy preserving ML	📜 Model & data versioning
🏁 Model Training Orchestration	💪 Model Serving and Monitoring	🤖 Neural Architecture Search
📓 Reproducible Notebooks	📊 Visualisation frameworks	🔠 Industry-strength NLP
🧵 Data pipelines & ETL	🏷️ Data Labelling	🗞️ Data storage
📡 Functions as a service	🗺️ Computation distribution	📥 Model serialisation
🧮 Optimized calculation frameworks	💸 Data Stream Processing	🔴 Outlier and Anomaly Detection
🌀 Feature engineering	🎁 Feature Stores	⚔ Adversarial Robustness
💰 Commercial Platforms

The Institute for Ethical Machine Learning is a think-tank that brings together with technology leaders, policymakers & academics to develop standards for ML.