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468 search results found
Awesome Deep Learning Papers
⭐
24,903
The most cited deep learning papers
Darknet
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24,851
Convolutional Neural Networks
Gnnpapers
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15,156
Mustread papers on graph neural networks (GNN)
Pwc
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14,522
Papers with code. Sorted by stars. Updated weekly.
Keras Gan
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8,842
Keras implementations of Generative Adversarial Networks.
Adversarialnetspapers
⭐
6,390
Awesome paper list with code about generative adversarial nets
Gans Awesome Applications
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4,667
Curated list of awesome GAN applications and demo
Deep Learning Papers
⭐
2,954
Papers about deep learning ordered by task, date. Current stateoftheart papers are labelled.
Adversarial
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2,773
Code and hyperparameters for the paper "Generative Adversarial Networks"
Papers
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2,239
Summaries of machine learning papers
Awesome Network Embedding
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2,218
A curated list of network embedding techniques.
Awesome Crowd Counting
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2,213
Awesome Crowd Counting
Surface Defect Detection
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1,820
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
Deeplearningimplementations
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1,772
Implementation of recent Deep Learning papers
Tensorflow2.0 Examples
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1,692
🙄 Difficult algorithm, Simple code.
Deblurgan
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1,657
Image Deblurring using Generative Adversarial Networks
Byol Pytorch
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1,630
Usable Implementation of "Bootstrap Your Own Latent" selfsupervised learning, from Deepmind, in Pytorch
Awesome Model Quantization
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1,449
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
Awesome Self Supervised Gnn
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1,356
Papers about pretraining and selfsupervised learning on Graph Neural Networks (GNN).
Rcan
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1,252
PyTorch code for our ECCV 2018 paper "Image SuperResolution Using Very Deep Residual Channel Attention Networks"
Awesome Deepfakes
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1,175
Everything Deepfakes
Graph Fraud Detection Papers
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1,148
A curated list of graphbased fraud, anomaly, and outlier detection papers & resources
Texture_nets
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1,109
Code for "Texture Networks: Feedforward Synthesis of Textures and Stylized Images" paper.
Nlp Paper
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1,070
自然语言处理领域下的相关论文（附阅读笔记），复现模型以及数据处理等（代码含TensorFlow和Py
Unet Family
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1,029
Paper and implementation of UNetrelated model.
Semanticsegmentation_dl
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983
Resources of semantic segmantation based on Deep Learning model
Awesome Equivariant Network
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877
Paper list for equivariant neural network
Gnn4nlp Papers
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824
A list of recent papers about Graph Neural Network methods applied in NLP areas.
Awesome Fer
⭐
735
Top conferences & Journals focused on Facial expression recognition (FER)/ Facial action unit (FAU)
Must Read Papers And Continuous Tracking On Graph Neural Network Gnn Progress
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699
Papers on Graph neural network(GNN)
Awesome_deep_learning_interpretability
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699
深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)
Awesome_tensorflow_implementations
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673
Random Network Distillation
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661
Code for the paper "Exploration by Random Network Distillation"
Awesome Question Answering
⭐
658
Resources, datasets, papers on Question Answering
Knowledge Distillation Papers
⭐
638
knowledge distillation papers
Text Classification
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622
Implementation of papers for text classification task on DBpedia
All About The Gan
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602
All About the GANs(Generative Adversarial Networks)  Summarized lists for GAN
Awesome Torch
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576
A curated list of awesome Torch tutorials, projects and communities
Eeg Dl
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563
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Tensorflow Value Iteration Networks
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544
TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper
Papers
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539
📎 Summaries of papers on deep learning
Prototypical Networks
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524
Code for the NIPS 2017 Paper "Prototypical Networks for Fewshot Learning"
Octaveconv_pytorch
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520
Pytorch implementation of newly added convolution
Pycnn
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504
Image Processing with Cellular Neural Networks in Python
Fedprox
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465
Federated Optimization in Heterogeneous Networks (MLSys '20)
Must Read Papers For Ml
⭐
446
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
Svcca
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429
Awesome Background Subtraction
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412
A curated list of background subtraction related papers and resources
Rbpn Pytorch
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399
The project is an official implement of our CVPR2019 paper "Recurrent BackProjection Network for Video SuperResolution"
Awesome Deep Community Detection
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397
Deep and conventional community detection related papers, implementations, datasets, and tools.
Nmn2
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369
Neural module networks
Awesome Temporal Action Detection Temporal Action Proposal Generation
⭐
360
Temporal Action Detection & Weakly Supervised Temporal Action Detection & Temporal Action Proposal Generation
Awesome Denoise
⭐
350
Onepaperoneshortcontributionsummary of all latest image/burst/video Denoising papers with code & citation published in top conference and journal.
Optnet
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321
OptNet: Differentiable Optimization as a Layer in Neural Networks
Convex_adversarial
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318
A method for training neural networks that are provably robust to adversarial attacks.
Pose Residual Network
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316
Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast MultiPerson Pose Estimation using Pose Residual Network (ECCV 2018)' paper
Lagrangian_nns
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308
Lagrangian Neural Networks
Lit
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308
Literature for the selftaught AI practitioner! 📚
Model Compression Papers
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306
Papers for deep neural network compression and acceleration
Blitznet
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293
Deep neural network for object detection and semantic segmentation in realtime. Official code for the paper "BlitzNet: A RealTime Deep Network for Scene Understanding"
Hepml Livingreview
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293
Living Review of Machine Learning for Particle Physics
Pose Residual Network Pytorch
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282
Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast MultiPerson Pose Estimation using Pose Residual Network' paper https://arxiv.org/abs/1807.04067
Time Series Deep Learning State Of The Art
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269
Scientific time series and deep learning state of the art
Awesome Deep Gnn
⭐
264
Papers about developing deep Graph Neural Networks (GNNs)
Language Modeling Gatedcnn
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261
Tensorflow implementation of "Language Modeling with Gated Convolutional Networks"
Graphlayouts
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260
new layout algorithms for network visualizations in R
Ai_papers
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254
AI Papers
Shufflenet
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251
ShuffleNet in PyTorch. Based on https://arxiv.org/abs/1707.01083
The Gan World
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237
Everything about Generative Adversarial Networks
Pytorch Classification Uncertainty
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235
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
Deeptextures
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229
Code to synthesise textures using convolutional neural networks as described in Gatys et al. 2015 (http://arxiv.org/abs/1505.07376)
Dialogstatetracking
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220
Dialog State Tracking using EndtoEnd Neural Networks
Matchingnetworks
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209
This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset
Cvpr2019_pyramid Feature Attention Network For Saliency Detection
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201
code and model of Pyramid Feature Selective Network for Saliency detection
Tpn
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197
Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Fewshot Learning.
Paper Collection
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191
A track of papers I read
Awesome Gnn Recommendation
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191
Graph Neural Network
Bdcn
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186
The code for the CVPR2019 paper BiDirectional Cascade Network for Perceptual Edge Detection
Mmd Gan
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181
MMDGAN: Towards Deeper Understanding of Moment Matching Network
Recurrent Relational Networks
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179
Code accompanying the paper Recurrent Relational Networks for Complex Relational Reasoning https://arxiv.org/abs/1711.08028
Gp4a
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179
Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"
Representation Learning On Heterogeneous Graph
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178
RepresentationLearningonHeterogeneousGraph
Deep_learning_papers
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175
A place to collect papers that are related to deep learning and computational biology
Awesome Gans And Deepfakes
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171
A curated list of GAN & Deepfake papers and repositories.
Dgc Net
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167
A PyTorch implementation of "DGCNet: Dense Geometric Correspondence Network"
Aichip_paper_list
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161
Awesome Deep Phenomena
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158
A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
Awesome Model Compression
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152
papers about model compression
Awesome Speech Enhancement
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151
A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.
Reading Paper
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149
Keras Fractalnet
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146
FractalNet implementation in Keras: UltraDeep Neural Networks without Residuals
Models Comparison.pytorch
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141
Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures
Dsanet
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140
Code for the CIKM 2019 paper "DSANet: Dual SelfAttention Network for Multivariate Time Series Forecasting".
Automatic Ecg Diagnosis
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137
Scripts and modules for training and testing neural network for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12lead ECG using a deep neural network".
Cnn Sentence Classifier
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135
Implementation of "Convolutional Neural Networks for Sentence Classification" paper
Nn_calibration
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133
Calibration of Convolutional Neural Networks
Dhcn
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133
Codes for AAAI'21 paper 'SelfSupervised Hypergraph Convolutional Networks for Sessionbased Recommendation'
K Gnn
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131
Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higherorder Graph Neural Networks".
Dnc
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130
Differentiable Neural Computers
Tpn Pytorch
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126
Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Fewshot Learning.
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