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468 search results found

Awesome Deep Learning Papers ⭐ 24,903

The most cited deep learning papers

Darknet ⭐ 24,851

Convolutional Neural Networks

Gnnpapers ⭐ 15,156

Must-read papers on graph neural networks (GNN)

Papers with code. Sorted by stars. Updated weekly.

Keras Gan ⭐ 8,842

Keras implementations of Generative Adversarial Networks.

Adversarialnetspapers ⭐ 6,390

Awesome paper list with code about generative adversarial nets

Gans Awesome Applications ⭐ 4,667

Curated list of awesome GAN applications and demo

Deep Learning Papers ⭐ 2,954

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

Adversarial ⭐ 2,773

Code and hyperparameters for the paper "Generative Adversarial Networks"

Papers ⭐ 2,239

Summaries of machine learning papers

Awesome Network Embedding ⭐ 2,218

A curated list of network embedding techniques.

Awesome Crowd Counting ⭐ 2,213

Awesome Crowd Counting

Surface Defect Detection ⭐ 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 ⭐ 1,772

Implementation of recent Deep Learning papers

Tensorflow2.0 Examples ⭐ 1,692

🙄 Difficult algorithm, Simple code.

Deblurgan ⭐ 1,657

Image Deblurring using Generative Adversarial Networks

Byol Pytorch ⭐ 1,630

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

Awesome Model Quantization ⭐ 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 ⭐ 1,356

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

Awesome Deepfakes ⭐ 1,175

Everything Deepfakes

Graph Fraud Detection Papers ⭐ 1,148

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

Texture_nets ⭐ 1,109

Code for "Texture Networks: Feed-forward Synthesis of Textures and Stylized Images" paper.

Nlp Paper ⭐ 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 ⭐ 1,029

Paper and implementation of UNet-related model.

Semanticsegmentation_dl ⭐ 983

Resources of semantic segmantation based on Deep Learning model

Awesome Equivariant Network ⭐ 877

Paper list for equivariant neural network

Gnn4nlp Papers ⭐ 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 ⭐ 699

Papers on Graph neural network(GNN)

Awesome_deep_learning_interpretability ⭐ 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 ⭐ 673

Random Network Distillation ⭐ 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 ⭐ 622

Implementation of papers for text classification task on DBpedia

All About The Gan ⭐ 602

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Awesome Torch ⭐ 576

A curated list of awesome Torch tutorials, projects and communities

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Tensorflow Value Iteration Networks ⭐ 544

TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper

📎 Summaries of papers on deep learning

Prototypical Networks ⭐ 524

Code for the NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

Octaveconv_pytorch ⭐ 520

Pytorch implementation of newly added convolution

Image Processing with Cellular Neural Networks in Python

Fedprox ⭐ 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

Awesome Background Subtraction ⭐ 412

A curated list of background subtraction related papers and resources

Rbpn Pytorch ⭐ 399

The project is an official implement of our CVPR2019 paper "Recurrent Back-Projection Network for Video Super-Resolution"

Awesome Deep Community Detection ⭐ 397

Deep and conventional community detection related papers, implementations, datasets, and tools.

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

One-paper-one-short-contribution-summary of all latest image/burst/video Denoising papers with code & citation published in top conference and journal.

OptNet: Differentiable Optimization as a Layer in Neural Networks

Convex_adversarial ⭐ 318

A method for training neural networks that are provably robust to adversarial attacks.

Pose Residual Network ⭐ 316

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network (ECCV 2018)' paper

Lagrangian_nns ⭐ 308

Lagrangian Neural Networks

Literature for the self-taught AI practitioner! 📚

Model Compression Papers ⭐ 306

Papers for deep neural network compression and acceleration

Blitznet ⭐ 293

Deep neural network for object detection and semantic segmentation in real-time. Official code for the paper "BlitzNet: A Real-Time Deep Network for Scene Understanding"

Hepml Livingreview ⭐ 293

Living Review of Machine Learning for Particle Physics

Pose Residual Network Pytorch ⭐ 282

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network' paper https://arxiv.org/abs/1807.04067

Time Series Deep Learning State Of The Art ⭐ 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 ⭐ 261

Tensorflow implementation of "Language Modeling with Gated Convolutional Networks"

Graphlayouts ⭐ 260

new layout algorithms for network visualizations in R

Ai_papers ⭐ 254

Shufflenet ⭐ 251

ShuffleNet in PyTorch. Based on https://arxiv.org/abs/1707.01083

The Gan World ⭐ 237

Everything about Generative Adversarial Networks

Pytorch Classification Uncertainty ⭐ 235

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

Deeptextures ⭐ 229

Code to synthesise textures using convolutional neural networks as described in Gatys et al. 2015 (http://arxiv.org/abs/1505.07376)

Dialogstatetracking ⭐ 220

Dialog State Tracking using End-to-End Neural Networks

Matchingnetworks ⭐ 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 ⭐ 201

code and model of Pyramid Feature Selective Network for Saliency detection

Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.

Paper Collection ⭐ 191

A track of papers I read

Awesome Gnn Recommendation ⭐ 191

Graph Neural Network

The code for the CVPR2019 paper Bi-Directional Cascade Network for Perceptual Edge Detection

Mmd Gan ⭐ 181

MMD-GAN: Towards Deeper Understanding of Moment Matching Network

Recurrent Relational Networks ⭐ 179

Code accompanying the paper Recurrent Relational Networks for Complex Relational Reasoning https://arxiv.org/abs/1711.08028

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 ⭐ 178

Representation-Learning-on-Heterogeneous-Graph

Deep_learning_papers ⭐ 175

A place to collect papers that are related to deep learning and computational biology

Awesome Gans And Deepfakes ⭐ 171

A curated list of GAN & Deepfake papers and repositories.

Dgc Net ⭐ 167

A PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network"

Aichip_paper_list ⭐ 161

Awesome Deep Phenomena ⭐ 158

A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...

Awesome Model Compression ⭐ 152

papers about model compression

Awesome Speech Enhancement ⭐ 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 ⭐ 149

Keras Fractalnet ⭐ 146

FractalNet implementation in Keras: Ultra-Deep Neural Networks without Residuals

Models Comparison.pytorch ⭐ 141

Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".

Automatic Ecg Diagnosis ⭐ 137

Scripts and modules for training and testing neural network for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12-lead ECG using a deep neural network".

Cnn Sentence Classifier ⭐ 135

Implementation of "Convolutional Neural Networks for Sentence Classification" paper

Nn_calibration ⭐ 133

Calibration of Convolutional Neural Networks

Codes for AAAI'21 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'

Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".

Differentiable Neural Computers

Tpn Pytorch ⭐ 126

Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.

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