Seq2seq Python Packages

transformers4rec

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

3K 1K 165

sockeye

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

2K 1K 319

classy-core

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

1K 87 3

bert4torch

An elegent pytorch implement of transformers

929 1K 167

tsts

📈 toolset for time series forecasting

735 33 2

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.

654 2K 428

tfts

tfts: Time Series Deep Learning Models in TensorFlow

604 890 169

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。

593 1K 207

joeynmt

Minimalist NMT for educational purposes

547 711 224

redco

NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference

522 69 6

kjarni

Native and Private ML inference engine, embeddings, classification, reranking, search, and text generation running on CPU and GPU. Rust, C#, C++, Python and Go.

401 37 3

aocr

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

332 1K 247

genienlp

GenieNLP: A versatile codebase for any NLP task

310 90 24

lsg-converter

Efficient Attention for Long Sequence Processing

292 98 10

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.

288 215 43

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.

280 2K 428

textgen

TextGen: Implementation of Text Generation models, include LLaMA, BLOOM, GPT2, BART, T5, SongNet and so on. 文本生成模型，实现了包括LLaMA，ChatGLM，BLOOM，GPT2，Seq2Seq，BART，T5，UDA等模型的训练和预测，开箱即用。

256 981 111