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.
Usage of comma.ai trained supercombo onnx model.
Framework-free pre-trained model data links for neural network.
TensorFlow code and pre-trained models for BERT
in this project, I've implemented the Facebook paper about fine tuning RoBERTa with contrastive loss.
Models and examples built with TensorFlow