wink-nlpDeveloper friendly Natural Language Processing ✨
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node-alchemyAn Alchemy API library for Node.JS
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tutorialsA tutorial series by Preferred.AI
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stansentNo description or website provided.
Stars: ✭ 16 (-5.88%)
pysentimientoA Python multilingual toolkit for Sentiment Analysis and Social NLP tasks
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LSTM-sentiment-analysisLSTM sentiment analysis. Please look at my another repo for SVM and Naive algorithem
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german-sentimentA data set and model for german sentiment classification.
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ar-embeddingsSentiment Analysis for Arabic Text (tweets, reviews, and standard Arabic) using word2vec
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german-sentiment-libAn easy to use python package for deep learning-based german sentiment classification.
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COVID19-FeedbackApplicationA simple application is developed to get feedback from a user and analyzing the text to predict the sentiment.
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SentimentVisionDemo🌅 iOS11 demo application for visual sentiment prediction.
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gnlTesterTester for the get_next_line project of 42 school
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cisspCISSP Study Materials PDF and Web Copy for 2021
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Cavemen-GGJ2019A multiplayer survival game developed during Global Game Jam 2019.
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adfsmfaMFA for ADFS 2022/2019/2016/2012r2
Stars: ✭ 86 (+405.88%)
libftTesterTester for the libft project of 42 school
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PyConES-2019-dataPyConES 2019 conferences, attachments and related stuff
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GatGraph Attention Networks (https://arxiv.org/abs/1710.10903)
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PygatPytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
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attention-augmented-convImplementation from the paper Attention Augmented Convolutional Networks in Tensorflow (https://arxiv.org/pdf/1904.09925v1.pdf)
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pytorch-psetaePyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"
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Walk-TransformerFrom Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
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Parallel-Tacotron2PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling
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robustness-vitContains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).
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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 (+205.88%)
CrabNetPredict materials properties using only the composition information!
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VAENAR-TTSPyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.
Stars: ✭ 66 (+288.24%)
AttnSleep[IEEE TNSRE] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"
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