1905 Open source projects that are alternatives of or similar to Sockeye

Neural Machine Translation with Keras

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

A TensorFlow Implementation of the Transformer: Attention Is All You Need

Minimalist NMT for educational purposes

End-to-end ASR/LM implementation with PyTorch

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

Neural machine translation implementation using dynet's python bindings

Sequence to sequence learning using TensorFlow.

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

Gluon to PyTorch deep neural network model converter

A Pytorch Implementation of "Attention is All You Need" and "Weighted Transformer Network for Machine Translation"

A seq2seq with attention dialogue/MT model implemented by TensorFlow.

An implementation of attention-based neural machine translation using Pytorch

A PyTorch Implementation of "Attention Is All You Need"

Transformers without Tears: Improving the Normalization of Self-Attention

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition.

A list of Neural MT implementations

Lingvo

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

Witwicky: An implementation of Transformer in PyTorch.

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

pytorch implementation of Attention is all you need

Neural Adaptive Machine Translation that adapts to context and learns from corrections.

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

Translating English sentences to Marathi using Neural Machine Translation

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

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

No description or website provided.

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

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

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

Towards Neural Phrase-based Machine Translation

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

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

An implementation of RNNsearch using TensorFlow

Embedding模型代码和学习笔记总结

Using LSTM or Transformer to solve Image Captioning in Pytorch

Visualizing RNNs using the attention mechanism

text generation based on transformer

Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.

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

a simple and complete pytorch implementation of neural machine translation system

Open-Source Neural Machine Translation in Tensorflow

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

Transformer implemented in Keras

Gluon implementation of "Objects as Points", aka "CenterNet"

An unofficial Gluon FR Toolkit for face recognition. https://gluon-face.readthedocs.io

Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"

AutoGluon: AutoML for Text, Image, and Tabular Data

Pointer-generator reinforced seq2seq summarization in PyTorch

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

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

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"

Conversation models in TensorFlow. (website removed)

ByteNet for character-level language modelling

Action recognition using soft attention based deep recurrent neural networks