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Projects to be developed as part of Apache MXNet ecosystem can be included.

Q3 2018: Focus on Quality and Technical Debt

  • Resolution of github issues: bugs, tests, builds, installation
  • Translate Documentation
  • Documentation of inference thread support and limitations
  • High quality support for MKL (incl. MKL-DNN)
  • Subgraph API for integrating backend accelerators with MXNet
  • quantization flow for INT8 with MKL-DNN (suggested by Patrick patric.zhao@intel.com)
  • Integration with Tensor RT (experimental in Q2)
  • Gluon CV, NLP toolkit
  • Increase example and tutorial coverage for various application domains - “MXNet by Example”
  • Performance profiling and improvements
  • Language API improvements - what is the community interest?: R (training), Java (wrapped around Scala?, inference), C++ (inference)

Q4 2018: Focus on feature gaps

  • Resolution of github issues: performance, operators, feature requests
  • Resolution of github issues: R, Gluon, C++, Python
  • Scalability improvement for distributed processing
  • Distributed training for Gluon CV, NLP toolkit
  • Community contributions: array creation routines
  • CI & validation for MXNet examples 
  • Increase example and tutorial coverage for various application domains - “MXNet by Example”
  • Android SDK for mobile devices

Q1 2019: Focus on Language AP

  • Increase example and tutorial coverage for various application domains - “MXNet by Example”
  • Support for low-bit precision inferencing
  • IoT device support for inferencing
  • MKL-DNN RNN API supports (patric.zhao@intel.com)
  • Support for MacOS High Sierra and Mojave

Q2 2019: TBD

  • Increase example and tutorial coverage for various application domains - “MXNet by Example”

Future: Longterm ideas

  • Model interpretability