Paper: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
Paper: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
Constrained decoding utilities for text generation using Huggingface seq2seq models
Constrained decoding utilities for text generation using Huggingface seq2seq models
Train large COMET (T5-3B/GPT2-XL) with small memory (on 11GB memory GPUs like 1080/2080) using DeepSpeed
Train large COMET (T5-3B/GPT2-XL) with small memory (on 11GB memory GPUs like 1080/2080) using DeepSpeed
Use the Seq2Seq method to implement machine translation and introduce Attention mechanism to improve the results
Use the Seq2Seq method to implement machine translation and introduce Attention mechanism to improve the results
A pipeline that creates consensus sequences from a Nanopore reads
A pipeline that creates consensus sequences from a Nanopore reads
Attention_OCR: CNN+Attention+Seq2Seq
Attention_OCR: CNN+Attention+Seq2Seq
Machine Translation Implement By Bi-GRU And Transformer
Machine Translation Implement By Bi-GRU And Transformer
Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet
Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet
Easy training and deployment of seq2seq models
Easy training and deployment of seq2seq models
Paradigm Shift in Natural Language Processing with python
Paradigm Shift in Natural Language Processing with python
Unofficial-Pix2seq: A Language Modeling Framework for Object Detection
Unofficial-Pix2seq: A Language Modeling Framework for Object Detection
BERT Got a Date: Introducing Transformers to Temporal Tagging
Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging
Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction
Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction
Neural machine translation between the writings of Shakespeare and modern English using TensorFlow
Neural machine translation between the writings of Shakespeare and modern English using TensorFlow
A complete suite for training sequence-to-sequence models in PyTorch
A complete suite for training sequence-to-sequence models in PyTorch
Intent parsing and slot filling in PyTorch with seq2seq + attention
Intent parsing and slot filling in PyTorch with seq2seq + attention
An open source framework for seq2seq models in PyTorch
This is a framework for sequence-to-sequence (seq2seq) models implemented in PyTorch.