ntua-slp-semeval2018Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.
Stars: ✭ 79 (-7.06%)
Abstractive SummarizationImplementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.
Stars: ✭ 128 (+50.59%)
Document Classifier LstmA bidirectional LSTM with attention for multiclass/multilabel text classification.
Stars: ✭ 136 (+60%)
MTL-AQAWhat and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]
Stars: ✭ 38 (-55.29%)
extkerasPlayground for implementing custom layers and other components compatible with keras, with the purpose to learn the framework better and perhaps in future offer some utils for others.
Stars: ✭ 18 (-78.82%)
Linear Attention Recurrent Neural NetworkA recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)
Stars: ✭ 119 (+40%)
Eeg DlA Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Stars: ✭ 165 (+94.12%)
BadMedicineLibrary and CLI for randomly generating medical data like you might get out of an Electronic Health Records (EHR) system
Stars: ✭ 18 (-78.82%)
loinc2hpoJava library to map LOINC-encoded test results to Human Phenotype Ontology
Stars: ✭ 19 (-77.65%)
Lstm attentionattention-based LSTM/Dense implemented by Keras
Stars: ✭ 168 (+97.65%)
Image Caption GeneratorA neural network to generate captions for an image using CNN and RNN with BEAM Search.
Stars: ✭ 126 (+48.24%)
freehealthFree and open source Electronic Health Record
Stars: ✭ 39 (-54.12%)
OpenemrThe most popular open source electronic health records and medical practice management solution.
Stars: ✭ 1,762 (+1972.94%)
SentimentAnalysisSentiment Analysis: Deep Bi-LSTM+attention model
Stars: ✭ 32 (-62.35%)
Attribute Aware Attention[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning
Stars: ✭ 143 (+68.24%)
awesome-multimodal-mlReading list for research topics in multimodal machine learning
Stars: ✭ 3,125 (+3576.47%)
Datastories Semeval2017 Task4Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
Stars: ✭ 184 (+116.47%)
datastories-semeval2017-task6Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".
Stars: ✭ 20 (-76.47%)
keras-deep-learningVarious implementations and projects on CNN, RNN, LSTM, GAN, etc
Stars: ✭ 22 (-74.12%)
egfr-attDrug effect prediction using neural network
Stars: ✭ 17 (-80%)
fiction generatorFiction generator with Tensorflow. 模仿王小波的风格的小说生成器
Stars: ✭ 27 (-68.24%)
autoencoders tensorflowAutomatic feature engineering using deep learning and Bayesian inference using TensorFlow.
Stars: ✭ 66 (-22.35%)
CareCardsThis mighty little deck of cards will change your health habits.
Stars: ✭ 25 (-70.59%)
traffic-predictionPredict traffic flow with LSTM. For experimental purposes only, unsupported!
Stars: ✭ 47 (-44.71%)
deep-transTransliterating English to Hindi using Recurrent Neural Networks
Stars: ✭ 44 (-48.24%)
ConvLSTM-PyTorchConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
Stars: ✭ 202 (+137.65%)
OverlapPredator[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.
Stars: ✭ 293 (+244.71%)
AttentionRepository for Attention Algorithm
Stars: ✭ 39 (-54.12%)
pdd-graphPDD Graph : Bridging MIMIC-III and Linked Data Cloud
Stars: ✭ 31 (-63.53%)
rl-medicalCommunicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.
Stars: ✭ 36 (-57.65%)
SentimentAnalysis(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset
Stars: ✭ 40 (-52.94%)
SimCLRPytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"
Stars: ✭ 65 (-23.53%)
halyosRedesigning the Patient Portal Experience with SMART on FHIR.
Stars: ✭ 20 (-76.47%)
visualizationa collection of visualization function
Stars: ✭ 189 (+122.35%)
Leanplum-iOS-SDKLeanplum's integrated solution delivers meaningful engagement across messaging and the in-app experience.
Stars: ✭ 63 (-25.88%)
nosto-magento2marketplace.magento.com/nosto-module-nostotagging.html
Stars: ✭ 19 (-77.65%)
wallpaper-learnLearn languages, facts, schoolwork, and more from your wallpaper by setting a cycling background with computer-generated images.
Stars: ✭ 22 (-74.12%)
iPerceiveApplying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021
Stars: ✭ 52 (-38.82%)
protoProto-RL: Reinforcement Learning with Prototypical Representations
Stars: ✭ 67 (-21.18%)
sequence-rnn-pySequence analyzing using Recurrent Neural Networks (RNN) based on Keras
Stars: ✭ 28 (-67.06%)
NRCNatural language generation for discrete data in EHRs
Stars: ✭ 19 (-77.65%)
AoA-pytorchA Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering
Stars: ✭ 33 (-61.18%)
DAF3DDeep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
Stars: ✭ 60 (-29.41%)
ExConExCon: Explanation-driven Supervised Contrastive Learning
Stars: ✭ 17 (-80%)
3HANAn original implementation of "3HAN: A Deep Neural Network for Fake News Detection" (ICONIP 2017)
Stars: ✭ 29 (-65.88%)
SANETArbitrary Style Transfer with Style-Attentional Networks
Stars: ✭ 105 (+23.53%)
domain-attentioncodes for paper "Domain Attention Model for Multi-Domain Sentiment Classification"
Stars: ✭ 22 (-74.12%)
game-feature-learningCode for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18
Stars: ✭ 68 (-20%)
NginxyFancyIndex Theme for Nginx same appearance of Apaxy for apache
Stars: ✭ 34 (-60%)
Simple-TensorA simplification of Tensorflow Tensor Operations
Stars: ✭ 17 (-80%)