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

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

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

Sequence to sequence learning using TensorFlow.

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

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

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.

Chinese Poetry Generation

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

Sequence-to-Sequence Framework in PyTorch

Translating English sentences to Marathi using Neural Machine Translation

Using LSTM or Transformer to solve Image Captioning in Pytorch

No description or website provided.

End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)

🎬 Video Captioning: ICCV '15 paper implementation

ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)

End-to-end ASR/LM implementation with PyTorch

Explains nlp building blocks in a simple manner.

Neural Machine Translation with Keras

An implementation of attention-based neural machine translation using Pytorch

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

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

Pytorch seq2seq chatbot

Image to LaTeX (Seq2seq + Attention with Beam Search) - Tensorflow

Minimalist NMT for educational purposes

An AI chatbot using seq2seq

Sequence-to-Sequence learning using PyTorch

An implementation of RNNsearch using TensorFlow

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

基于Pytorch的中文聊天机器人 集成BeamSearch算法

Neural machine translation implementation using dynet's python bindings

Pointer-generator reinforced seq2seq summarization in PyTorch

S2VT (seq2seq) video captioning with bahdanau & luong attention implementation in Tensorflow

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

PyTorch Implementation of "Monotonic Chunkwise Attention" (ICLR 2018)

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

Neural machine translation between the writings of Shakespeare and modern English using TensorFlow

Beam search for neural network sequence to sequence (encoder-decoder) models.

UPC Deep Learning for Speech and Language 2018

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

An efficient implementation of RNN-T Prefix Beam Search in C++/CUDA.

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.

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

A list of data mining and machine learning papers that I implemented in 2019.

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

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

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

An implementation of the efficient attention module.

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

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

Attention mechanism

[AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717

Attention mechanism in CNNs to extract events of interest

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

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

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

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

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.