Added

• Support for custom network / application as external modules
• Unified workspace directory via global configuration functionalities
• Model zoo for network / data sharing
• Automatic training / validation / test sets splitting
• Validation iterations during training
• Regression application
• 2D / 3D resampler layer
• Versioning functionality for better issue tracking
• Academic paper release: "NiftyNet: a deep-learning platform for medical imaging"
• How-to guides and a new theme for the API and examples documentation