transformer-encoder topic

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

brightmart

The implementation of DeBERTa

microsoft

[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection

wgcban

Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transfo...

zhongkaifu

Implementation of Transformer Model in Tensorflow

lilianweng

[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang

VITA-Group

pretrained BERT model for cyber security text, learned CyberSecurity Knowledge

jackaduma

This repository contains PyTorch implementations of the models from the paper An Empirical Study MIME: MIMicking Emotions for Empathetic Response Generation.

declare-lab

Generating English Rock lyrics using BERT

ApurbaSengupta

CASPR is a deep learning framework applying transformer architecture to learn and predict from tabular data at scale.

microsoft