This file gives an overview about the repositories in the MULTIPLY organization. For more information on the MULTIPLY project, visit http://www.multiply-h2020.eu/ .
The repositories may be categorized as such:
Platform: This lists the repositories that form the backend of the MULTIPLY platform
- data-access: Enabling access to EO and auxiliary data that is required by the other components
- kaska: An Inference Engine using a Smoothing Approach
- prior-engine: A framework to provide different types of prior information
- KaFKA-InferenceEngine: An Inference Engine using a Kalman Filtering Approach
- post-processing: A framework for post processors that may work on inference results
- multiply-core: A collection of core functionality that is required by other parts of the platform
- inference-engine: Wrapping functionality around the Kafka and Kaska Inference Engines
- vm-support: A collection of functionality to ensure that the MULTIPLY platform runs in a VM environment
- sar-pre-processing: Functionality to perform Pre-Processing on Sentinel 1-SAR Data
- atmospheric_correction: Functionality to perform Pre-Processing on Sentinel-2 Data
User Interface and Visualisation: These are the repositories that comprise the MULTIPLY frontend.
- multiply-ui: The Jupyter Hub-based MULTIPLY User Interface that communicates with the backend.
- MULTIPLYVisualisation: Contains the functionality to visualize inference or post-processing results
Training Material:
- H2020_MULTIPLY_training
Information:
- readme
Special Repositories: These repositories contain functionality that is not used by the MULTIPLY platform, but by other repositories outside of this organization. As such, they are further listed here so they may be maintained if needed.
- gp_emulator
- grabba_grabba_hey
Archived repositories: Repositories whose functionality has been transferred to other repositories and thereby have become obsolete
- multiply-orchestration
- workshop
- pre_processing
- forward-operators
- LMU_testcase
- coarse_demo