904 Open source projects that are alternatives of or similar to Nmt Keras

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

Minimalist NMT for educational purposes

Open-Source Neural Machine Translation in Tensorflow

A list of Neural MT implementations

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

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

Tools for filtering and cleaning parallel and monolingual corpora for machine translation and other natural language processing tasks.

Transformers without Tears: Improving the Normalization of Self-Attention

Sequence to sequence learning using TensorFlow.

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

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

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.

a simple and complete pytorch implementation of neural machine translation system

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

Neural machine translation implementation using dynet's python bindings

Witwicky: An implementation of Transformer in PyTorch.

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

An implementation of attention-based neural machine translation using Pytorch

An implementation of RNNsearch using TensorFlow

End-to-end ASR/LM implementation with PyTorch

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

Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

Towards Neural Phrase-based Machine Translation

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

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)

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Several basic neural machine translation models implemented by PyTorch & TensorFlow

Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator 😝 BDW it uses Pytorch framework and Python3.

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

Sequence-to-Sequence Framework in PyTorch

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

Translating English sentences to Marathi using Neural Machine Translation

Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning

nlp lecture-notes and source code

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

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.

My implementation of "Hierarchical Attention Networks for Document Classification" in Keras

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

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

Exploring attention weights in transformer-based models with linguistic knowledge.

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

机器翻译子任务-翻译质量评价-复现 WMT2018 阿里论文结果

Zero -- A neural machine translation system

No description or website provided.

A PyTorch Implementation of "Attention Is All You Need"

A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"

A simple TensorFlow implementation of the Transformer

Predict materials properties using only the composition information!

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

A Structured Self-attentive Sentence Embedding

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

Sign Language Translation with Transformers (COLING'2020, ECCV'20 SLRTP Workshop)

Any-to-any voice conversion by end-to-end extracting and fusing fine-grained voice fragments with attention

a collection of visualization function

Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch

attention mechanism in keras, like Dense and RNN...

An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano