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](https://github.com/travis-ci) on ubuntu
* Others
* Support simple GPU job scheduling
Known Issues
[Known Issues in release 0.1.0](https://github.com/Microsoft/nni/labels/nni010knownissues).