432 Open source projects that are alternatives of or similar to RNNSearch

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

Sequence to sequence learning using TensorFlow.

An implementation of RNNsearch using TensorFlow

Minimalist NMT for educational purposes

Sequence-to-Sequence Framework in PyTorch

Open-Source Neural Machine Translation in Tensorflow

An open-source neural machine translation system developed by Natural Language Processing Group, Nanjing University.

A list of Neural MT implementations

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

End-to-end ASR/LM implementation with PyTorch

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

An open-source tool for sequence learning in NLP built on TensorFlow.

Neural machine translation implementation using dynet's python bindings

Neural Machine Translation with Keras

Translating English sentences to Marathi using Neural Machine Translation

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

BERT-NER (nert-bert) with google bert https://github.com/google-research.

Use tensorflow to achieve some NLP project, eg: classification chatbot ner attention QAetc.

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

A minimal nmt example to serve as an seq2seq+attention reference.

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

Predicting protein structure through sequence modeling

Pytorch seq2seq chatbot

Four styles of encoder decoder model by Python, Theano, Keras and Seq2Seq

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

Sequence-to-Sequence learning using PyTorch

No description or website provided.

Image captioning using attention models

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

Towards Neural Phrase-based Machine Translation

A PyTorch Implementation of "Attention Is All You Need"

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

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

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

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

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

Pointer-generator reinforced seq2seq summarization in PyTorch

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

Multi-turn dialogue baselines written 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。

nmtpy is a Python framework based on dl4mt-tutorial to experiment with Neural Machine Translation pipelines.

DELTA is a deep learning based natural language and speech processing platform.

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

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

This repository contains the code for a video captioning system inspired by Sequence to Sequence -- Video to Text. This system takes as input a video and generates a caption in English describing the video.

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

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

Embedding, NMT, Text_Classification, Text_Generation, NER etc.

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

a series of tutorials on sequence to sequence learning, implemented with PyTorch.

Implementation of "Effective Adversarial Regularization for Neural Machine Translation", ACL 2019

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

Sequence to Sequence Models in PyTorch

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

seq2seq attention tensorflow textrank context

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.

Neural machine translator for English2German translation.