455 Open source projects that are alternatives of or similar to minimal-nmt

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

Attention Unet model with post process for retina optic disc segmention

Machine translation is the task of converting one language to other. Unlike the traditional phrase-based translation system which consists of many small sub-components that are tuned separately, neural machine translation attempts to build and train a single, large neural network that reads a sentence and outputs a correct translation.

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

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

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

PyTorch port of the paper "Language to Logical Form with Neural Attention"

TensorFlow Implementation of Twitter Chatbot

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

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

Visual Dialog: Light-weight Transformer for Many Inputs (ECCV 2020)

Theano implementation of Sequence-to-Sequence Autoencoder

Implementation of STAM (Space Time Attention Model), a pure and simple attention model that reaches SOTA for video classification

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

[ACM MM 2017 & IEEE TMM 2020] This is the Theano code for the paper "Video Description with Spatial Temporal Attention"

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

Attention mechanism in CNNs to extract events of interest

seq2seq attention tensorflow textrank context

source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)

TianChi AIEarth Contest Solution

A prototype version of our submitted paper: Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.

Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch

Neural Models for Key Phrase Detection and Question Generation

An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"

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

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.

Implementation of Axial attention - attending to multi-dimensional data efficiently

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

Attention-based bidirectional LSTM for Classification Task (ICASSP)

Several basic neural machine translation models implemented by PyTorch & TensorFlow

2019 Clova AI Hackathon : Speech - Rank 12 / Team Kai.Lib

Code for "Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization"

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

Deep sentence embedding using Sequence to Sequence learning

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).

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

Sanskrit compound segmentation using seq2seq model

Seq2Seq Chatbot with attention mechanism

Tensorflow implementation of Attention-based Bidirectional RNN text classification.

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

模仿莎士比亚创作戏剧！屌炸天的是还能创作金庸武侠小说！快star，保持更新！！

PyTorch implementation of batched bi-RNN encoder and attention-decoder.

Deep-Learning Model Exploration and Development for NLP

Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch

Predict materials properties using only the composition information!

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

[unmaintained] Make seq2seq for keras work

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

Pytorch implementation of a basic language model using Attention in LSTM network

😋本项目旨在通过Tensorflow基于BiLSTM+CRF实现中文分词、词性标注、命名实体识别（NER）。

NLP Core Library and Model Zoo based on PaddlePaddle 2.0

Machine Translation (MT) Preparation Scripts

Implementation of E(n)-Transformer, which extends the ideas of Welling's E(n)-Equivariant Graph Neural Network to attention

Natural Language Processing with TensorFlow, published by Packt

🏖 Easy training and deployment of seq2seq models.

fairseq: Convolutional Sequence to Sequence Learning (Gehring et al. 2017) by Chainer

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

Zero -- A neural machine translation system

This repository contains a new adversarial training method for Generative Conversational Agents

Pytorch implementation of "Compact Global Descriptor for Neural Networks" (CGD).