ML at the Cambridge Computer Lab
ML@CL seeks to advance the safe and reliable deployment of machine learning systems to tackle the real-world challenges.
Popular repositories Loading
-
-
fbp-vs-soa
fbp-vs-soa PublicComparison of flow-based programming and service-oriented architecture for building data-driven applications
Repositories
Showing 10 of 43 repositories
- dods-ai-dialogue Public
DODS study: chatbot vs workshop as elicitation formats (referia reconstruction of An elicitation fallacy?)
-
-
-
-
-
-
-
Top languages
Loading…
Most used topics
Loading…