seq2seq

A neural network that transforms a design mock-up into a static website.

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Play couplet with seq2seq model. 用深度学习对对联。

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

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.

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

CakeChat: Emotional Generative Dialog System

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

An elegent pytorch implement of transformers

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

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。

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

Deep research agent to help you find the best GitHub repositories 🕵️!

Deep-Learning Model Exploration and Development for NLP

This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf

Using pre-trained BERT models for Chinese and English NER with 🤗Transformers

Efficient Attention for Long Sequence Processing

Tensorflow implementation of "Listen, Attend and Spell" authored by William Chan. This project utilizes input pipeline and estimator API of Tensorflow, which makes the training and evaluation truly end-to-end.

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

Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging