moon23k

Transformer_Variants

Transformer Architectures Comparison in Natural Language Generation Tasks

Scheduled_Sampling

Scheduled Sampling for Transformers

Transformer

Code to address Natural Language Generation Tasks via Transformer Architecture

Aux_Training

BackTranslation

BackTranslation Experiment

Character_Framework

Context_Framework

Dialog_SemEnt

GIFT

LEFT

NLP_Datasets

Transformer_Balance

Transformer Balance Research

Transformer_Fusion

This repo covers methodologies to utilize Pre Trained BERT model on NMT Task

Baseline

CPT

Customized Pretraining for NLG Tasks

Efficient_Summarization

Text Summarization Modeling with three different Attention Types

Efficient_Training

GAN_Training

Hier_Encoder

IntelliGEN

moon23k

moon23k.github.io

MultiLingual_Translation

MultiLingual Translator

MultiTurn_Dialogue

Toward Characteristic Dialogue Generation

NMT_Code

PEFT

RNN_Seq2Seq

Code to address Natural Language Generation Tasks with Sequence to Sequence Architecture

RNN_Seq2Seq_Attention

Code to address Natural Language Generation Tasks via Sequence to Sequence Architecture with Attention Mechanism

Tokenizers

Tokenizer Performance Experiment

Trust_Framework