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

Cross platform C++ library focusing on optimized machine translation on the consumer-grade device.

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

Code for "Variational Neural Machine Translation" (EMNLP2016)

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

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

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

Translating English sentences to Marathi using Neural Machine Translation

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.

Predict materials properties using only the composition information!

MT paper lists (by conference)

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

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

Understanding the Difficulty of Training Transformers

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

Open Source Neural Machine Translation in Torch (deprecated)

[ACL 2020] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

机器翻译子任务-翻译质量评价-复现 WMT2018 阿里论文结果

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

Zero -- A neural machine translation system

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

EQTransformer, a python package for earthquake signal detection and phase picking using AI.

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

Image Captions Generation with Spatial and Channel-wise Attention

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

Build English-Vietnamese machine translation with ProtonX Transformer. :D

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

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

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

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

A Neural Network based Chatbot

A simple TensorFlow implementation of the Transformer

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

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.

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

TianChi AIEarth Contest Solution

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

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

nlp lecture-notes and source code

Using LSTM or Transformer to solve Image Captioning in Pytorch

Code for Synchronous Bidirectional Neural Machine Translation (SB-NMT)

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

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

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

a collection of visualization function

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

Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information processing systems. 2017.

Transformer implementation speciaized in speech recognition tasks using Pytorch.

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

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

Implementation of Linformer for Pytorch

No description or website provided.

list of efficient attention modules

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

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

A PyTorch Implementation of "Attention Is All You Need"

[NeurIPS 2021] Galerkin Transformer: a linear attention without softmax

text generation based on transformer

This repository contains the code and data of the paper titled "Not Low-Resource Anymore: Aligner Ensembling, Batch Filtering, and New Datasets for Bengali-English Machine Translation" published in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), November 16 - November 20, 2020.