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.
Framework-free pre-trained model data links for neural network.
TensorFlow code and pre-trained models for BERT
Models and examples built with TensorFlow
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
Provide an input CSV and a target field to predict, generate a model + code to run it.