deep-char-cnn-lstmDeep Character CNN LSTM Encoder with Classification and Similarity Models
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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 (+160%)
LearningMetersPoemsOfficial repo of the article: Yousef, W. A., Ibrahime, O. M., Madbouly, T. M., & Mahmoud, M. A. (2019), "Learning meters of arabic and english poems with recurrent neural networks: a step forward for language understanding and synthesis", arXiv preprint arXiv:1905.05700
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pose2actionexperiments on classifying actions using poses
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datastories-semeval2017-task6Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".
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SpectrumSpectrum is an AI that uses machine learning to generate Rap song lyrics
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deep-transTransliterating English to Hindi using Recurrent Neural Networks
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Simple-TensorA simplification of Tensorflow Tensor Operations
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ntua-slp-semeval2018Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.
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SpeakerDiarization RNN CNN LSTMSpeaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).
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traffic-predictionPredict traffic flow with LSTM. For experimental purposes only, unsupported!
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bert-squeeze🛠️ Tools for Transformers compression using PyTorch Lightning ⚡
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myDLDeep Learning
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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
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Tess4AndroidA new fork base on tess-two and Tesseract 4.0.0
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ConvLSTM-PyTorchConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
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dnn-lstm-word-segmentChinese Word Segmention Base on the Deep Learning and LSTM Neural Network
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CS231nPyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
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voice zaloaidentifying gender and regional accent from speech
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air writingOnline Hand Writing Recognition using BLSTM
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object-trackingMultiple Object Tracking System in Keras + (Detection Network - YOLO)
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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.
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Speech-RecognitionEnd-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
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novel writerTrain LSTM to writer novel (HongLouMeng here) in Pytorch.
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fiction generatorFiction generator with Tensorflow. 模仿王小波的风格的小说生成器
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Show and TellShow and Tell : A Neural Image Caption Generator
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MachineLearningImplementations of machine learning algorithm by Python 3
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OCROptical character recognition Using Deep Learning
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Patient2VecPatient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
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theano-recurrenceRecurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano
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AttentionRepository for Attention Algorithm
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pred-rnnPredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
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keras-deep-learningVarious implementations and projects on CNN, RNN, LSTM, GAN, etc
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Robust-Deep-Learning-PipelineDeep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)
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Intelligent-Bangla-typing-assistantArtificially intelligent typing assistant that suggest the next word using user typing history and full sentence using LSTM . Works with any environment (MS word, notepad, coding IDEs or anything)
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fsauor2018基于LSTM网络与自注意力机制对中文评论进行细粒度情感分析
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lstm-mathNeural network that solves math equations on the character level
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sequence-rnn-pySequence analyzing using Recurrent Neural Networks (RNN) based on Keras
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