Utilize TensorBoard or Netron to visualize network architecture, PyTorch or Matplotlib to display feature maps, Transformers or Seaborn to highlight attention maps, and Grad-CAM, SHAP, or LIME to ...

This project provides an implementation of the BERT model, as described in the paper "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding", using PyTorch. In addition to ...

[NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules". ... Pre-trained model and weights. Add visualization for training ...

AlexNet is one of the popular variants of the convolutional neural network and used as a deep learning framework. In the last article, we implemented the AlexNet model using the Keras library and ...

Based on Huawei's Mindspore and Pytorch hybrid architecture, this paper carries out localization operation of the current mainstream pedestrian re-recognition algorithm - AGW model, and makes it ...