Social Good at Cloud Scale - a talk at MLPrague 2018, and supporting materials.
A list of the code stories referenced in the deck:
- https://www.microsoft.com/developerblog/2017/06/06/geocoding-social-conversations-nlp-javascript/
- https://www.microsoft.com/developerblog/2017/05/10/graphql-providing-context-into-global-crisiss-and-social-public-data-sources/
- https://www.microsoft.com/developerblog/2017/11/20/opener-permissively-licensed-named-entity-recognition-on-the-jvm/
- https://www.microsoft.com/developerblog/2017/07/01/building-image-classification-pipeline-using-serverless-architecture/
- https://www.microsoft.com/developerblog/2017/10/24/bird-detection-with-azure-ml-workbench/
A list of the repositories our team has built that were referenced:
- https://github.com/CatalystCode/project-fortis
- https://github.com/noodlefrenzy/ImageRecognitionInKeras
- https://github.com/CatalystCode/faceanalysis
- https://github.com/Microsoft/VoTT
- https://github.com/olgaliak/detection-amlworkbench
A list of the other open-source tools referenced in the deck:
- Compromise - NLP in JavaScript
- Apache projects:
- OpeNER
- Facenet - TensorFlow-based facial recognition
- face_recognition - Facial recognition library using DLib
- UN OCHA
- GraphQL
- MapZen
- Azure Functions
- Microsoft Translator
- DataBricks
- CustomVision
- "Trace the Face"
- Microsoft Face API
- Azure Machine Learning
- Faster R-CNN
The slide deck is licensed under Creative Commons (CC-BY) license.
This README and any supplemental content is licensed under the MIT license.