The implementation of DeBERTa
翻译 - DeBERTa的实施
[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang
翻译 - [preprint] "trans Gan: two transformers CANMAKE one strong Gan", Y I饭Jiang, shi与Chang, Zhang杨Wang
#自然语言处理#Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
#计算机科学#[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
Implementation of Transformer Model in Tensorflow
#计算机科学#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...
#自然语言处理#pretrained BERT model for cyber security text, learned CyberSecurity Knowledge
#计算机科学#Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia Classification
#自然语言处理#This repository contains PyTorch implementations of the models from the paper An Empirical Study MIME: MIMicking Emotions for Empathetic Response Generation.
#计算机科学#The repo is for the Heart Disease classification project using Transformer Encoders in PyTorch.
#计算机科学#CASPR is a deep learning framework applying transformer architecture to learn and predict from tabular data at scale.
Temporary remove unused tokens during training to save ram and speed.
#自然语言处理#This project aims to implement the Transformer Encoder blocks using various Positional Encoding methods.
题目知识点预测标注。Question knowledge point prediction.
Generating English Rock lyrics using BERT
#计算机科学#Transformer Encoder with Multiscale Deep Learning for Pain Classification Using Physiological Signals
Official Pytorch implementation of (Roles and Utilization of Attention Heads in Transformer-based Neural Language Models), ACL 2020
Vision Transformer Implementation in TensorFlow
Code for the ACL 2019 paper "Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes"
#自然语言处理#Contextual embedding for text blobs.