381 Open source projects that are alternatives of or similar to Encoder_decoder

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

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

Multiple implementations for abstractive text summurization , using google colab

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

Embedding模型代码和学习笔记总结

Tensorflow seq2seq Implementation of Text Summarization.

seq2seq attention tensorflow textrank context

Sorting numbers with pointer networks

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

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

News summarization using sequence to sequence model with attention in TensorFlow.

Bangla Machine Translator

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

Multi-turn dialogue baselines written in PyTorch

Implementation of seq2seq model for Visual Storytelling Challenge (VIST) http://visionandlanguage.net/VIST/index.html

End-to-end ASR/LM implementation with PyTorch

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

Pointer-generator reinforced seq2seq summarization in PyTorch

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

Implementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.

An implementation of attention-based neural machine translation using Pytorch

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

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

網頁聊天機器人 | tensorflow implementation of seq2seq model with bahdanau attention and Word2Vec pretrained embedding

Image captioning using attention models

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

Sequence to sequence learning using TensorFlow.

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

一个基于深度学习的中文聊天机器人，这里有详细的教程与代码，每份代码都有详细的注释，作为学习是美好的选择。A Chinese chatbot based on deep learning.

A PyTorch Implementation of "Attention Is All You Need"

PyTorch Implementation of "Monotonic Chunkwise Attention" (ICLR 2018)

Experiments with satellite image data

[CVPR2020] "Detecting Attended Visual Targets in Video"

Keras/Tensorflow attention models including beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,efficientnet,fbnet,gmlp,halonet,lcnet,levit,mlp-mixer,mobilevit,nfnets,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolox

Basic Seq2Seq, Attention, CopyNet

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

ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)

A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!

Auto Segmentation Criterion (ASG) implemented in pytorch

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

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

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

Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification

一些不同的Attention机制代码

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

Neutron: A pytorch based implementation of Transformer and its variants.

Using LSTM or Transformer to solve Image Captioning in Pytorch

Keras implementation of hierarchical attention network for document classification with options to predict and present attention weights on both word and sentence level.

PyTorch implementation of a 2D-LSTM Seq2Seq Model for NMT.

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

Source code of the paper titled *Improving Video Captioning with Temporal Composition of a Visual-Syntactic Embedding*

Summary of Transformer applications for computer vision tasks.

Tensorflow based Neural Conversation Models

Implementation of ABCNN(Attention-Based Convolutional Neural Network) on Tensorflow

TextBox is an open-source library for building text generation system.

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

Semantic Aware Attention Based Deep Object Co-segmentation

🎬 Video Captioning: ICCV '15 paper implementation

eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding