Codes for paper Exploring Sequence-to-Sequence Learning for Aspect Term Extraction.
Code and dataset for ACL2018 paper "Exploiting Document Knowledge for Aspect-level Sentiment Classification"
Character-level Convolutional Neural Networks for text classification in PyTorch
中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。
all kinds of text classification models and more with deep learning
Person re-identification, a tool used in intelligent video surveillance, is the task of correctly identifying individuals across multiple images captured under varied scenarios from multiple cameras. Solving this problem is inherently a challenging one because of the issues posed to it by low resolution images, illumination changes per image, unconstrained pose and occlusions.
Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST
Unofficial and Partial Implementation of Fast AutoAugment in Pytorch
Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow
A Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
A walkthrough of how to prune keras models, using both weight-pruning and unit/neuron-pruning.
Implementation of paper "DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter" by Victor SANH, Lysandre DEBUT, Julien CHAUMOND, Thomas WOLF
