Python / trained model
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Keras implementation of RetinaNet object detection.
Keras Deep Learning neural network model for University of Wisconsin Cancer data that uses the Integrated Variants library to explain predictions made by a trained model
Gender detection (from scratch) using deep learning with keras and cvlib.
Models and examples built with TensorFlow
in this project, I've implemented the Facebook paper about fine tuning RoBERTa with contrastive loss.
Framework-free pre-trained model data links for neural network.
Provide an input CSV and a target field to predict, generate a model + code to run it.
This is a diacritization model for Arabic language. This model was built/trained using the Tashkeela: the Arabic diacritization corpus on Kaggle