awesome-machine-learning-engineering
github.com/d18s/awesome-machine-learning-engineering ↗A curated list of articles, papers and tools for managing the building and deploying of machine learning models, aka machine learning engineering.
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Where to startDataBest practiceExample pipelinesConference tracks and workshopsBig data on a single machine / on the command lineSoftwareRelated awesome lists
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Installation instructions →What's inside
Example pipelines
Software
Related awesome lists
Big data on a single machine / on the command line
Conference tracks and workshops
Best practice
- Introducing the Facebook Field Guide to Machine Learning video series
- Machine Learning: The High Interest Credit Card of Technical Debt
- Making Netflix Machine Learning Algorithms Reliable
- Patterns for Research in Machine Learning
- Production Data Science
- Rules of Machine Learning: Best Practices for ML Engineering
Showing a sample of 67 resources. View the full list on GitHub →