Cluener2020CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition
Stars: ✭ 689 (+2550%)
Mutual labels: seq2seq, sequence-to-sequence
XmunmtAn implementation of RNNsearch using TensorFlow
Stars: ✭ 69 (+165.38%)
Mutual labels: seq2seq, sequence-to-sequence
SockeyeSequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet
Stars: ✭ 990 (+3707.69%)
Mutual labels: seq2seq, sequence-to-sequence
Pytorch ChatbotPytorch seq2seq chatbot
Stars: ✭ 336 (+1192.31%)
Mutual labels: seq2seq, sequence-to-sequence
Video CaptioningThis repository contains the code for a video captioning system inspired by Sequence to Sequence -- Video to Text. This system takes as input a video and generates a caption in English describing the video.
Stars: ✭ 131 (+403.85%)
Mutual labels: seq2seq, sequence-to-sequence
Tf Seq2seqSequence to sequence learning using TensorFlow.
Stars: ✭ 387 (+1388.46%)
Mutual labels: seq2seq, sequence-to-sequence
Sequence To Sequence 101a series of tutorials on sequence to sequence learning, implemented with PyTorch.
Stars: ✭ 62 (+138.46%)
Mutual labels: seq2seq, sequence-to-sequence
CVAE DialCVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"
Stars: ✭ 16 (-38.46%)
Mutual labels: seq2seq, sequence-to-sequence
Mlds2018springMachine Learning and having it Deep and Structured (MLDS) in 2018 spring
Stars: ✭ 124 (+376.92%)
Mutual labels: seq2seq, sequence-to-sequence
DeltaDELTA is a deep learning based natural language and speech processing platform.
Stars: ✭ 1,479 (+5588.46%)
Mutual labels: seq2seq, sequence-to-sequence
classyclassy is a simple-to-use library for building high-performance Machine Learning models in NLP.
Stars: ✭ 61 (+134.62%)
Mutual labels: seq2seq, sequence-to-sequence
Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Stars: ✭ 3,418 (+13046.15%)
Mutual labels: seq2seq, sequence-to-sequence
RNNSearchAn implementation of attention-based neural machine translation using Pytorch
Stars: ✭ 43 (+65.38%)
Mutual labels: seq2seq, sequence-to-sequence
Neural spEnd-to-end ASR/LM implementation with PyTorch
Stars: ✭ 408 (+1469.23%)
Mutual labels: seq2seq, sequence-to-sequence
Word-Level-Eng-Mar-NMTTranslating English sentences to Marathi using Neural Machine Translation
Stars: ✭ 37 (+42.31%)
Mutual labels: seq2seq, sequence-to-sequence
dynmt-pyNeural machine translation implementation using dynet's python bindings
Stars: ✭ 17 (-34.62%)
Mutual labels: seq2seq, sequence-to-sequence
Openseq2seqToolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
Stars: ✭ 1,378 (+5200%)
Mutual labels: seq2seq, sequence-to-sequence
Text summarization with tensorflowImplementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.
Stars: ✭ 226 (+769.23%)
Mutual labels: seq2seq, sequence-to-sequence