parse seq2seqA tensorflow implementation of neural sequence-to-sequence parser for converting natural language queries to logical form.
Stars: ✭ 26 (+0%)
avsr-tf1Audio-Visual Speech Recognition using Sequence to Sequence Models
Stars: ✭ 76 (+192.31%)
deep-keyphraseseq2seq based keyphrase generation model sets, including copyrnn copycnn and copytransfomer
Stars: ✭ 51 (+96.15%)
EgoCNNCode for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)
Stars: ✭ 16 (-38.46%)
NeuralCodeTranslatorNeural Code Translator provides instructions, datasets, and a deep learning infrastructure (based on seq2seq) that aims at learning code transformations
Stars: ✭ 32 (+23.08%)
DeepLearning-LabCode lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.
Stars: ✭ 83 (+219.23%)
FairAIThis is a collection of papers and other resources related to fairness.
Stars: ✭ 55 (+111.54%)
FedScaleFedScale is a scalable and extensible open-source federated learning (FL) platform.
Stars: ✭ 274 (+953.85%)
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
Stars: ✭ 64 (+146.15%)
tensorflow-chatbot-chinese網頁聊天機器人 | tensorflow implementation of seq2seq model with bahdanau attention and Word2Vec pretrained embedding
Stars: ✭ 50 (+92.31%)
torch-asgAuto Segmentation Criterion (ASG) implemented in pytorch
Stars: ✭ 42 (+61.54%)
TextSummareimplementing Neural Summarization by Extracting Sentences and Words
Stars: ✭ 16 (-38.46%)
adversarial-code-generationSource code for the ICLR 2021 work "Generating Adversarial Computer Programs using Optimized Obfuscations"
Stars: ✭ 16 (-38.46%)
ACECode for our paper, Neural Network Attributions: A Causal Perspective (ICML 2019).
Stars: ✭ 47 (+80.77%)
icml-nips-iclr-datasetPapers, authors and author affiliations from ICML, NeurIPS and ICLR 2006-2021
Stars: ✭ 21 (-19.23%)
transformerA PyTorch Implementation of "Attention Is All You Need"
Stars: ✭ 28 (+7.69%)
SRBCode for "Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization"
Stars: ✭ 41 (+57.69%)
DLCV2018SPRINGDeep Learning for Computer Vision (CommE 5052) in NTU
Stars: ✭ 38 (+46.15%)
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 (+873.08%)
minimal-nmtA minimal nmt example to serve as an seq2seq+attention reference.
Stars: ✭ 36 (+38.46%)
Video-Cap🎬 Video Captioning: ICCV '15 paper implementation
Stars: ✭ 44 (+69.23%)
Tensorflow ShakespeareNeural machine translation between the writings of Shakespeare and modern English using TensorFlow
Stars: ✭ 244 (+838.46%)
Debug seq2seq[unmaintained] Make seq2seq for keras work
Stars: ✭ 233 (+796.15%)
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%)
PaddlenlpNLP Core Library and Model Zoo based on PaddlePaddle 2.0
Stars: ✭ 212 (+715.38%)
RNNSearchAn implementation of attention-based neural machine translation using Pytorch
Stars: ✭ 43 (+65.38%)
Headliner🏖 Easy training and deployment of seq2seq models.
Stars: ✭ 221 (+750%)
dynmt-pyNeural machine translation implementation using dynet's python bindings
Stars: ✭ 17 (-34.62%)
MoChA-pytorchPyTorch Implementation of "Monotonic Chunkwise Attention" (ICLR 2018)
Stars: ✭ 65 (+150%)
LingvoLingvo
Stars: ✭ 2,361 (+8980.77%)
seq3Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression"
Stars: ✭ 121 (+365.38%)
semi-supervised-NFsCode for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning
Stars: ✭ 23 (-11.54%)
NLP-paper🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/
Stars: ✭ 23 (-11.54%)
chatbot🤖️ 基于 PyTorch 的任务型聊天机器人(支持私有部署和 docker 部署的 Chatbot)
Stars: ✭ 77 (+196.15%)
Deep News SummarizationNews summarization using sequence to sequence model with attention in TensorFlow.
Stars: ✭ 167 (+542.31%)
NeuralCitationNetworkNeural Citation Network for Context-Aware Citation Recommendation (SIGIR 2017)
Stars: ✭ 24 (-7.69%)
Nlp pytorch projectEmbedding, NMT, Text_Classification, Text_Generation, NER etc.
Stars: ✭ 153 (+488.46%)
PackItCode for reproducing results in ICML 2020 paper "PackIt: A Virtual Environment for Geometric Planning"
Stars: ✭ 45 (+73.08%)
GAN-RNN Timeseries-imputationRecurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.
Stars: ✭ 107 (+311.54%)
sktSanskrit compound segmentation using seq2seq model
Stars: ✭ 21 (-19.23%)
probabilistic nlgTensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).
Stars: ✭ 28 (+7.69%)
Awesome-Computer-Vision-Paper-ListThis repository contains all the papers accepted in top conference of computer vision, with convenience to search related papers.
Stars: ✭ 248 (+853.85%)
neural-chatAn AI chatbot using seq2seq
Stars: ✭ 30 (+15.38%)
deep-molecular-optimizationMolecular optimization by capturing chemist’s intuition using the Seq2Seq with attention and the Transformer
Stars: ✭ 60 (+130.77%)
FontRNNImplementation of FontRNN [Computer Graphics Forum, 2019].
Stars: ✭ 27 (+3.85%)