Neural spEnd-to-end ASR/LM implementation with PyTorch
Stars: ✭ 408 (+2166.67%)
Video-Cap🎬 Video Captioning: ICCV '15 paper implementation
Stars: ✭ 44 (+144.44%)
Seq2seq chatbot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
Stars: ✭ 308 (+1611.11%)
AoA-pytorchA Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering
Stars: ✭ 33 (+83.33%)
minimal-nmtA minimal nmt example to serve as an seq2seq+attention reference.
Stars: ✭ 36 (+100%)
ttslearnttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)
Stars: ✭ 158 (+777.78%)
Seq2seq SummarizerPointer-generator reinforced seq2seq summarization in PyTorch
Stars: ✭ 306 (+1600%)
MoChA-pytorchPyTorch Implementation of "Monotonic Chunkwise Attention" (ICLR 2018)
Stars: ✭ 65 (+261.11%)
SequenceToSequenceA seq2seq with attention dialogue/MT model implemented by TensorFlow.
Stars: ✭ 11 (-38.89%)
NLP-paper🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/
Stars: ✭ 23 (+27.78%)
SockeyeSequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet
Stars: ✭ 990 (+5400%)
Seq2seq chatbot new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
Stars: ✭ 144 (+700%)
Seq2Seq-chatbotTensorFlow Implementation of Twitter Chatbot
Stars: ✭ 18 (+0%)
NARREThis is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations
Stars: ✭ 100 (+455.56%)
Transformers-RLAn easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"
Stars: ✭ 107 (+494.44%)
lstm-attentionAttention-based bidirectional LSTM for Classification Task (ICASSP)
Stars: ✭ 87 (+383.33%)
avsr-tf1Audio-Visual Speech Recognition using Sequence to Sequence Models
Stars: ✭ 76 (+322.22%)
beam searchBeam search for neural network sequence to sequence (encoder-decoder) models.
Stars: ✭ 31 (+72.22%)
SRBCode for "Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization"
Stars: ✭ 41 (+127.78%)
Speech recognition with tensorflowImplementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.
Stars: ✭ 253 (+1305.56%)
memory-compressed-attentionImplementation of Memory-Compressed Attention, from the paper "Generating Wikipedia By Summarizing Long Sequences"
Stars: ✭ 47 (+161.11%)
Tensorflow ShakespeareNeural machine translation between the writings of Shakespeare and modern English using TensorFlow
Stars: ✭ 244 (+1255.56%)
Optic-Disc-UnetAttention Unet model with post process for retina optic disc segmention
Stars: ✭ 77 (+327.78%)
question-generationNeural Models for Key Phrase Detection and Question Generation
Stars: ✭ 29 (+61.11%)
uniformer-pytorchImplementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, debuted in ICLR 2022
Stars: ✭ 90 (+400%)
DARNNA Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
Stars: ✭ 90 (+400%)
Transformer Temporal TaggerCode and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging
Stars: ✭ 55 (+205.56%)
convolutional seq2seqfairseq: Convolutional Sequence to Sequence Learning (Gehring et al. 2017) by Chainer
Stars: ✭ 63 (+250%)
chatbotSeq2Seq Chatbot with attention mechanism
Stars: ✭ 19 (+5.56%)
Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Stars: ✭ 3,418 (+18888.89%)
MTA-LSTM-TensorFlowTensorFlow reimplementation of Topic-to-Essay Generation with Neural Networks.
Stars: ✭ 67 (+272.22%)
seq2seq-autoencoderTheano implementation of Sequence-to-Sequence Autoencoder
Stars: ✭ 12 (-33.33%)
Mead BaselineDeep-Learning Model Exploration and Development for NLP
Stars: ✭ 238 (+1222.22%)
CIANImplementation of the Character-level Intra Attention Network (CIAN) for Natural Language Inference (NLI) upon SNLI and MultiNLI corpus
Stars: ✭ 17 (-5.56%)
ChangeFormerOfficial PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection
Stars: ✭ 220 (+1122.22%)
Debug seq2seq[unmaintained] Make seq2seq for keras work
Stars: ✭ 233 (+1194.44%)
Nlp made easyExplains nlp building blocks in a simple manner.
Stars: ✭ 232 (+1188.89%)
STAM-pytorchImplementation of STAM (Space Time Attention Model), a pure and simple attention model that reaches SOTA for video classification
Stars: ✭ 109 (+505.56%)
Text summarization with tensorflowImplementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.
Stars: ✭ 226 (+1155.56%)
Nlp Tools😋本项目旨在通过Tensorflow基于BiLSTM+CRF实现中文分词、词性标注、命名实体识别(NER)。
Stars: ✭ 225 (+1150%)
hexiaMid-level PyTorch Based Framework for Visual Question Answering.
Stars: ✭ 24 (+33.33%)
amta-netAsymmetric Multi-Task Attention Network for Prostate Bed Segmentation in CT Images
Stars: ✭ 26 (+44.44%)
PaddlenlpNLP Core Library and Model Zoo based on PaddlePaddle 2.0
Stars: ✭ 212 (+1077.78%)
Headliner🏖 Easy training and deployment of seq2seq models.
Stars: ✭ 221 (+1127.78%)
Screenshot To CodeA neural network that transforms a design mock-up into a static website.
Stars: ✭ 13,561 (+75238.89%)
parse seq2seqA tensorflow implementation of neural sequence-to-sequence parser for converting natural language queries to logical form.
Stars: ✭ 26 (+44.44%)
SA-DLSentiment Analysis with Deep Learning models. Implemented with Tensorflow and Keras.
Stars: ✭ 35 (+94.44%)