It is a hybrid face recognition framework wrapping state-of-the-art models: VGG-Face, Google FaceNet, OpenFace, Facebook DeepFace, DeepID, ArcFace and Dlib
The library is mainly based on Keras & TensorFlow
This tweet is a collaboration with Sefik Ilkin Serengil so why not follow for first hand updates?
They make use of pre-trained language models which they refine by fine-tuning them on specifically prepared corpora that we enriched with implicit information and by constraining them with relevant concepts and connecting commonsense knowledge paths.
Manual and automatic eva. of the generations shows that by refining language models as proposed they can generate coherent & grammatically sound sentences that explicate implicit knowledge which connects sentence pairs in texts on both in-domain and out-of-domain test data
Figma-Low-Code use Figma designs directly in VUE.js applications.
The low code approach reduces drastically the hand-off time between designers and developers, reduces front-end code and ensures that the Figma design stays the single source of truth.