• Collective Tuning Center
  - Automating and accelerating code and architecture optimization using machine learning - Providing common repository to share optimization cases - Improving quality and reproducibility of research - Building future intelligent adaptive computing systems
  in Software > Reference with adaptive learning machine optimization research
• cTuning.org
  cTuning.org is a community-driven collaborative Mediawiki-based portal that brings together industry, academia and IT users to optimize programs and architectures collectively and build smart self-tuning adaptive computing systems based on statistical and machine learning techniques.
  in Web > reference with adaptive collaboration community learning machine optimization wiki
• MILEPOST
  develop compiler technology that can automatically learn how to best optimise programs for re-configurable heterogeneous embedded processors.
  in Software > tools with ai compiler embedded learning machine mobile processor
• Prolix
  PROLIX is a 48 months research and development integrated project co-funded by the European Commission under the Sixth Framework Programme, Priority 2 "Information Society Technologies" started on 1st December 2005. The objective of PROLIX is to align learning with business processes in order to enable organisations to faster improve the competencies of their employees according to continuous changes of business requirements. To reach this goal, PROLIX develops an open, integrated reference architecture for process-oriented learning and information exchange.
  in Education with business development europe information learning process project research
• Weka 3
  Data Mining with Open Source Machine Learning Software in Java
  in Software with data java learning mining open software source by 7 users

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