Rodrigo Bressan
Rodrigo Bressan
face2data
Face2Data: Extract meaningful information from a person face in less than a second. Powered by Keras and Flask.
android_tmdb_clean_architecture
Showcase of clean architecture concepts along with Continuous Integration and Development for modular Android applications. Includes test suits (functional and unit tests) along with code coverage.
entity_embeddings_categorical
Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
digipathos
Brazilian Agricultural Research Corporation (EMBRAPA) fully annotated dataset for plant diseases. Plug and play installation over PiP.
keras-multi-output-model-utk-face
Exploring Keras functional API to build a multi-output model to predict race, gender and sex on UTK Face dataset.
PADify
Framework to perform PAD (Presentation Attack Detection) on Facial Recognition systems through intrinsic properties and Deep Neural Networks - Still Under Development
keras_boston_housing_price
Keras 101: A simple Neural Network for House Pricing regression