transformerNeutron: A pytorch based implementation of Transformer and its variants.
Video-Cap🎬 Video Captioning: ICCV '15 paper implementation
RNNSearchAn implementation of attention-based neural machine translation using Pytorch
lstm-mathNeural network that solves math equations on the character level
BERT-NERUsing pre-trained BERT models for Chinese and English NER with 🤗Transformers
FontRNNImplementation of FontRNN [Computer Graphics Forum, 2019].
Nuts自然语言处理常见任务(主要包括文本分类,序列标注,自动问答等)解决方案试验田
deep-keyphraseseq2seq based keyphrase generation model sets, including copyrnn copycnn and copytransfomer
DeepLearning-LabCode lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.
YodaSpeakTranslating English to Yoda English using Sequence-to-Sequence with Tensorflow.
Shakespearizing-Modern-EnglishCode for "Jhamtani H.*, Gangal V.*, Hovy E. and Nyberg E. Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models" Workshop on Stylistic Variation, EMNLP 2017
chatbotkbqa task-oriented qa seq2seq ir neo4j jena seq2seq tf chatbot chat
transformerA PyTorch Implementation of "Attention Is All You Need"
minimal-nmtA minimal nmt example to serve as an seq2seq+attention reference.
sentence2vecDeep sentence embedding using Sequence to Sequence learning
CVAE DialCVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"
dynmt-pyNeural machine translation implementation using dynet's python bindings
seq3Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression"
chatbot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.
NLP-paper🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/
probabilistic nlgTensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).
lang2logic-PyTorchPyTorch port of the paper "Language to Logical Form with Neural Attention"
sktSanskrit compound segmentation using seq2seq model
kospeechOpen-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.
convolutional seq2seqfairseq: Convolutional Sequence to Sequence Learning (Gehring et al. 2017) by Chainer
parse seq2seqA tensorflow implementation of neural sequence-to-sequence parser for converting natural language queries to logical form.
avsr-tf1Audio-Visual Speech Recognition using Sequence to Sequence Models
MTA-LSTM-TensorFlowTensorFlow reimplementation of Topic-to-Essay Generation with Neural Networks.
NeuralCodeTranslatorNeural Code Translator provides instructions, datasets, and a deep learning infrastructure (based on seq2seq) that aims at learning code transformations
beam searchBeam search for neural network sequence to sequence (encoder-decoder) models.
tensorflow-chatbot-chinese網頁聊天機器人 | tensorflow implementation of seq2seq model with bahdanau attention and Word2Vec pretrained embedding
TextSummareimplementing Neural Summarization by Extracting Sentences and Words
SRBCode for "Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization"
chatbotSeq2Seq Chatbot with attention mechanism