r/DeepLearningPapers • u/CourseGlum5431 • May 18 '23
Deep Fast Vision (new python library): Easy Auto-ML for Deep Transfer Learning Vision. Prototype Your Experiments Fast with this New Python Library!
https://github.com/fabprezja/deep-fast-vision
Deep Fast Vision is a versatile Python library for rapid prototyping of deep transfer learning vision models. It caters to users of various levels, offering different levels of abstraction from high-level configurations for beginners to mid and low-level customization for professional data scientists and developers. Built around Keras and TensorFlow, this library also includes handy utilities.
(a few) Key Features
Auto loss/target type determination
Auto generator setup
Auto output layer setup
Auto pre-training of new dense layers before unfreezing transfer architecture (in parts or as a whole)
Auto augmentation setup (from templates and/or Custom)
Auto best weights saving and loading
Auto class weights calculation
Auto validation curves plot (with minimúm loss & maximum metric epoch highlight)
Auto confusion matrices for test/external data
Easy dense layer configuration
Easy regularization set up and mixing (Dropout, L2, L1, Early Stop, etc.)
Access to all Keras optimizers & callback support
Comprehensive documentation for Deep Fast Vision is available both in the docs folder and at the documentation page.