#javascript #babel #babel_macro #css_in_js #emotion #emotionjs #macro #react #reactjs #styled_components #styling_css_in_js #styling_react #tailwind #tailwind_css #tailwindcss #twin #utility_classes

https://github.com/ben-rogerson/twin.macro

#typescript #animation #animation_css #dark_mode #emotion #framer_motion #react #reactjs #responsive_design #ui #ui_components #ui_design #ui_library #uikit #yamada_ui

https://github.com/yamada-ui/yamada-ui

#python #age_prediction #arcface #deep_learning #deepface #deepid #emotion_recognition #face_analysis #face_recognition #facenet #facial_expression_recognition #facial_recognition #gender_prediction #machine_learning #openface #python #race_classification #vgg_face

DeepFace is a powerful tool for face recognition and facial attribute analysis. It allows you to recognize faces, predict age, gender, emotions, and race, and even detect whether an image is real or fake. You can install it easily using `pip install deepface` and use simple functions like `DeepFace.verify` for face verification, `DeepFace.find` for face recognition, and `DeepFace.analyze` for facial attribute analysis. DeepFace wraps several state-of-the-art models, making it highly accurate and versatile. It also supports real-time video analysis and can be integrated with various detectors and alignment methods. This tool simplifies complex face recognition tasks, making it easy to use without needing deep knowledge of the underlying processes.

https://github.com/serengil/deepface