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