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Search results for jupyter notebook state of the art
jupyter-notebook
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state-of-the-art
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8 search results found
Hugsvision
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170
HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
Know Your Intent
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State of the Art results in Intent Classification using Sematic Hashing for three datasets: AskUbuntu, Chatbot and WebApplication.
Video_captioning_datasets
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Summary about Video-to-Text datasets. This repository is part of the review paper *Bridging Vision and Language from the Video-to-Text Perspective: A Comprehensive Review*
Comparemodels_trecqa
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Compare six baseline deep learning models on TrecQA
Delving Deeper Into The Decoder For Video Captioning
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Source code for Delving Deeper into the Decoder for Video Captioning
Recommender Systems With Collaborative Filtering And Deep Learning Techniques
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Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques
Fusion Human Action Recognition
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13
Human Action Recognition using skeleton and infrared data. State-of-the-art results on NTU RBG+D. Implemented with PyTorch.
Deeprecommender
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11
Training Deep AutoEncoders for Collaborative Filtering
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1-8 of 8 search results
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