69 Open source projects that are alternatives of or similar to cross-lingual-open-ie

MWPToolkit is an open-source framework for math word problem(MWP) solvers.

2020 阿里云天池大数据竞赛-中医药文献问题生成挑战赛

Open-Source Neural Machine Translation in Tensorflow

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

Translating English sentences to Marathi using Neural Machine Translation

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

An implementation of attention-based neural machine translation using Pytorch

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.

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

Neural Machine Translation with Keras

Conversation models in TensorFlow. (website removed)

Bin Packing Problem using Neural Combinatorial Optimization.

An implementation of RNNsearch using TensorFlow

[In-Progress] Tensorflow implementation of Sequence to Sequence Learning with Neural Networks

Towards Neural Phrase-based Machine Translation

Image captioning using attention models

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

Transliterating English to Hindi using Recurrent Neural Networks

Sequence to Sequence Models in PyTorch

No description or website provided.

an open-source implementation of sequence-to-sequence based speech processing engine

PyTorch implementation of "Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss" (ICASSP 2020)

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

Keras implementation of character-level sequence-to-sequence learning for spelling correction

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

Pytorch seq2seq chatbot

SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data

Neural machine translator for English2German translation.

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

Transformer Implementation using PyTorch for Neural Machine Translation (Korean to English)

An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.

text generation based on transformer

Detecting and Predicting Forest Cover Change in Pakistani Areas Using Remote Sensing Imagery

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

Contains various architectures and novel paper implementations for Natural Language Processing tasks like Sequence Modelling and Neural Machine Translation.

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

Predicting protein structure through sequence modeling

Automatic Feature Generation for Website Fingerprinting

Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach

The code for the ISMIR 2019 paper “Supervised symbolic music style translation using synthetic data”.

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

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

Berserker - BERt chineSE woRd toKenizER

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

Neural machine translation implementation using dynet's python bindings

A chatbot implemented in TensorFlow based on the seq2seq model, with certain rules integrated.

Converting handwritten equations to LaTeX

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

Towards Knowledge-Based Recommender Dialog System @ EMNLP 2019

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.

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

Sequence to sequence learning using TensorFlow.

A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting

A Neural Network based Chatbot

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

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

A list of Neural MT implementations