Release 0.1.0 - 9/10/2018 (initial release)

Initial release of Neural Network Intelligence (NNI).

Major Features

• Installation and Deployment
  • Support pip install and source codes install
  • Support training services on local mode(including Multi-GPU mode) as well as multi-machines mode
• Tuners, Accessors and Trial
  • Support AutoML algorithms including: hyperopt_tpe, hyperopt_annealing, hyperopt_random, and evolution_tuner
  • Support assessor(early stop) algorithms including: medianstop algorithm
  • Provide Python API for user defined tuners and accessors
  • Provide Python API for user to wrap trial code as NNI deployable codes
• Experiments
  • Provide a command line toolkit 'nnictl' for experiments management
  • Provide a web UI for viewing experiments details and managing experiments
• Continuous Integration
  • Support CI by providing out-of-box integration with travis-ci on ubuntu
• Others
  • Support simple GPU job scheduling

Known Issues

Known Issues in release 0.1.0.