Seq2seq Python Packages

bert4torch

An elegent pytorch implement of transformers

bert-seq2seq

pytorch实现 Bert 做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持t5模型，支持GPT2进行文章续写。

transformers4rec

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.

distilbert-punctuator

A small seq2seq punctuator tool based on DistilBERT

genienlp

GenieNLP: A versatile codebase for any NLP task

classy-core

classy is a simple-to-use library for building high-performance Machine Learning models in NLP.

sockeye

Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch

joeynmt

Minimalist NMT for educational purposes

tsts

📈 toolset for time series forecasting

delta-nlp

DELTA is a deep learning based natural language and speech processing platform. LF AI & DATA Projects: https://lfaidata.foundation/projects/delta/

textgen

Text Generation Model

kashgari

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

aocr

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

mim-nlp

A Python package with ready-to-use models for various NLP tasks and text preprocessing utilities. The implementation allows fine-tuning.

tfts

tfts: Time Series Deep Learning Models in TensorFlow

pytorch-beam-search

A lightweight implementation of Beam Search for sequence models in PyTorch.

nmtpytorch

Sequence-to-Sequence Framework in PyTorch

lsg-converter

Efficient Attention for Long Sequence Processing

redco

No description available

kashgari-tf

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

seq2seqsharp

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 (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, MacOS), multimodal model for text and images and so on.

copynet-tf

CopyNet with TensorFlow 2.0

aichatbot

Python library for building custom AI Chatbot with just one line of code.

txt2txt

Out of the Box, Easy to use sequence to sequence library with attention for text.