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The Top 23 Network Paper Open Source Projects

Open source projects categorized as Network Paper
Categories > Networking > Network
Tpn Pytorch ⭐ 126
Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.
most recent commit 3 years ago
Faster Rcnn.torch ⭐ 126
Experimental Torch7 implementation of RCNN for Object Detection with a Region Proposal Network
most recent commit 8 years ago
Matlab Gan ⭐ 125
MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN
most recent commit a year ago
Pytorch Stargan Vc ⭐ 123
Fully reproduce the paper of StarGAN-VC. Stable training and Better audio quality .
most recent commit 5 years ago
Dividemix ⭐ 122
Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning
most recent commit 4 years ago
3d Deep Learning ⭐ 122
3D Deep Learning works
most recent commit 5 years ago
Gcanet ⭐ 121
Implementation of "Gated Context Aggregation Network for Image Dehazing and Deraining"
most recent commit 3 years ago
Convnet_transfer ⭐ 119
Code for paper "How transferable are features in deep neural networks?"
most recent commit 5 years ago
Regnet ⭐ 118
Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"
most recent commit 3 years ago
Multimodal Emotion Recognition ⭐ 117
This repository contains the code for the paper `End-to-End Multimodal Emotion Recognition using Deep Neural Networks`.
most recent commit 3 years ago
Enorm ⭐ 116
Equi-normalization of Neural Networks
most recent commit 5 years ago
Parametricumap_paper ⭐ 112
Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).
most recent commit 3 years ago
Stock_cnn_blog_pub ⭐ 108
This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach"
most recent commit 4 years ago
Contrastive Adaptation Network For Unsupervised Domain Adaptation ⭐ 108
pytorch implementation for Contrastive Adaptation Network
most recent commit 4 years ago
Jokenpo ⭐ 108
Can a neural network predict your next move on a game of rock, paper and scissor?
most recent commit 5 years ago
Hyperbolic_nn ⭐ 107
Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112
most recent commit 4 years ago
Keras Dualpathnetworks ⭐ 107
Dual Path Networks for Keras 2.0+
most recent commit 4 years ago
Gnn Meta Attack ⭐ 106
Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".
most recent commit 2 years ago
Torch Gqn ⭐ 106
PyTorch Implementation of Generative Query Network
most recent commit 5 years ago
Deepcaps ⭐ 106
Official Implementation of "DeepCaps: Going Deeper with Capsule Networks" paper (CVPR 2019).
most recent commit 4 years ago
Visualizingcnn ⭐ 104
🙈A PyTorch implementation of the 2014 ECCV paper "Visualizing and Understanding Convolutional Networks"
most recent commit 6 years ago
Local Relational Nets ⭐ 101
A Pytorch implementation for the paper Local Relational Networks for Image Recognition (https://arxiv.org/pdf/1904.11491.pdf)
most recent commit 2 years ago
Awesome Deep Learning Based Time Series Forecasting ⭐ 100
most recent commit 3 years ago
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