233 Open source projects that are alternatives of or similar to Seq2seq.pytorch

Links to the implementations of neural conversational models for different frameworks

Neural network that solves math equations on the character level

A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter

Neural Citation Network for Context-Aware Citation Recommendation (SIGIR 2017)

Text summarization using seq2seq in Keras

Fiction generator with Tensorflow. 模仿王小波的风格的小说生成器

Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com

Implementation of our paper "Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation" in EMNLP-2020.

Curated list of publicly available parallel corpus for Indian Languages

A simple open domain generative based chatbot based on Recurrent Neural Networks

Pytorch seq2seq chatbot

Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.

Basic Seq2Seq, Attention, CopyNet

No description or website provided.

Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)

kbqa task-oriented qa seq2seq ir neo4j jena seq2seq tf chatbot chat

Generating bash command from natural language https://arxiv.org/abs/1802.08979

Exploring Neural Text Simplification

Audio-Visual Speech Recognition using Sequence to Sequence Models

A Fast Neural Machine Translation System. It is developed in C++ and resorts to NiuTensor for fast tensor APIs.

Molecular optimization by capturing chemist’s intuition using the Seq2Seq with attention and the Transformer

Neural Code Translator provides instructions, datasets, and a deep learning infrastructure (based on seq2seq) that aims at learning code transformations

Zero -- A neural machine translation system

Visualization for simple attention and Google's multi-head attention.

CVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

Data Augmentation for Neural Machine Translation

Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression"

A wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.

Java JNI wrapper for SentencePiece: unsupervised text tokenizer for Neural Network-based text generation.

🤖️ 基于 PyTorch 的任务型聊天机器人（支持私有部署和 docker 部署的 Chatbot）

Machine Translation (MT) Preparation Scripts

Pointer-generator reinforced seq2seq summarization in PyTorch

UPC Deep Learning for Speech and Language 2018

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

Implementation of State-of-the-art Text Classification Models in Pytorch

Tensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).

A Keras library for multi-step time-series forecasting.

Several basic neural machine translation models implemented by PyTorch & TensorFlow

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GPT2进行文章续写。

Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator 😝 BDW it uses Pytorch framework and Python3.

How Does Selective Mechanism Improve Self-attention Networks?

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.

End-to-end ASR/LM implementation with PyTorch

A tensorflow implementation of neural sequence-to-sequence parser for converting natural language queries to logical form.

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

TensorFlow reimplementation of Topic-to-Essay Generation with Neural Networks.

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)

PyTorch v1.2에서 생긴 Transformer API 를 이용한 간단한 Chitchat 챗봇

Multiple implementations for abstractive text summurization , using google colab

Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743

Cross platform C++ library focusing on optimized machine translation on the consumer-grade device.

Beam search for neural network sequence to sequence (encoder-decoder) models.

A TensorFlow Implementation of Machine Translation In Neural Machine Translation in Linear Time

Tensorflow implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

Embedding模型代码和学习笔记总结

Tensorflow based Neural Conversation Models