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15 search results found
Rcan
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1,252
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
Text Classification
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622
Implementation of papers for text classification task on DBpedia
Rnnsharp
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272
RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.
Bdcn
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186
The code for the CVPR2019 paper Bi-Directional Cascade Network for Perceptual Edge Detection
A Deeply Supervised Image Fusion Network For Change Detection In Remote Sensing Images
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178
Official implement of Paper:A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sening images
Neural Figures
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51
Neural Networks Figures
Speech Separation
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30
Python scripts exploring sound separation using deep clustering
Sudl
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27
light deep neural network tools box(LSTM,GRU,RNN,CNN,Bi-LSTM,etc)
Recurrent Net Lstm
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26
Long Short-Term Memory Recurrent Neural Networks
Dynamic Neural Network Programming With Pytorch
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19
Dynamic Neural Network Programming with PyTorch, published by Packt
Language Models
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12
research and implementations of recurrent neural networks and their applications
Bsnet
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12
Code release for the paper BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification. (TIP2020)
Ansible Role F5ansible
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6
Ansible role that allows use of the F5 Ansible Modules outside of the Ansible core product
Deep_pt_srl
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5
A deep bi-lstm network for semantic role labeling targeted at the Portuguese Language
Convolutional Bi Directional Lstm Networks And Feature Based Gated Recurrent Unit Networks
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5
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