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Search results for paper convolutional neural networks
convolutional-neural-networks
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paper
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68 search results found
Deep_learning_object_detection
⭐
10,821
A paper list of object detection using deep learning.
Awesome Deep Vision
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10,315
A curated list of deep learning resources for computer vision
Models
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6,789
A collection of pre-trained, state-of-the-art models in the ONNX format
Awesome Speech Recognition Speech Synthesis Papers
⭐
2,869
Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)
Automatic_speech_recognition
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2,743
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
Cnn_sentence
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1,873
CNNs for sentence classification
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
Big_transfer
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1,421
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
Deeplearning_tutorials
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1,216
The deeplearning algorithms implemented by tensorflow
Learning Deep Learning
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943
Paper reading notes on Deep Learning and Machine Learning
Lstm Char Cnn
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812
LSTM language model with CNN over characters
Prototypical Networks For Few Shot Learning Pytorch
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769
Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
Text Classification
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622
Implementation of papers for text classification task on DBpedia
Hand3d
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611
Network estimating 3D Handpose from single color images
Eeg Dl
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563
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Pytorch Randaugment
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557
Unofficial PyTorch Reimplementation of RandAugment.
Pycnn
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504
Image Processing with Cellular Neural Networks in Python
Flask Keras Cnn Image Retrieval
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467
🚀CNN-based image retrieval built on Keras
Must Read Papers For Ml
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446
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
Awesome Background Subtraction
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412
A curated list of background subtraction related papers and resources
Trackr Cnn
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398
TrackR-CNN baseline method for Multi-Object Tracking and Segmentation (MOTS)
Relationprediction
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389
Implementation of R-GCNs for Relational Link Prediction
Fastgcn
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377
The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
Online Visual Tracking Sota
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368
Tf_audio_steganalysis
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355
Audio steganalysis with tensorflow.
Triplet Attention
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347
Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]
Language Modeling Gatedcnn
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261
Tensorflow implementation of "Language Modeling with Gated Convolutional Networks"
Named Entity Recognition With Bidirectional Lstm Cnns
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241
Named-Entity-Recognition-with-Bidirectional-LSTM-C
Computer Vision Leaderboard
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233
Comparison of famous convolutional neural network models
Good Papers
⭐
231
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
Localexpstereo
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219
Continuous 3D Label Stereo Matching using Local Expansion Moves (TPAMI 2018)
Awesome Tensorlayer
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212
A curated list of dedicated resources and applications
Pedestrian Detection
⭐
210
Pedestrian Detection Papers
Affnet
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209
Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
Smaat Unet
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190
PyTorch-Code for the Paper "SmaAt-UNet: Precipitation Nowcasting using a Small, Attentive UNet-Architecture"
Mixstyle Release
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190
Domain Generalization with MixStyle (ICLR'21)
Ml Systems
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175
papers on scalable and efficient machine learning systems
Deeptam
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174
DeepTAM: Deep Tracking and Mapping https://lmb.informatik.uni-freiburg.de/people/zhou
Keras Model Zoo
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168
Keras Model Zoo
Dgc Net
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167
A PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network"
Selecsls Pytorch
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165
Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".
Lidc_nodule_detection
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162
lidc nodule detection with CNN and LSTM network
Ccnn
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158
Counting CNN and Hydra CNN
Waveletsrnet
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156
A pytorch implementation of Paper "Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution"
Deep K Means Pytorch
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148
[ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"
Models Comparison.pytorch
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141
Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures
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 12-lead ECG using a deep neural network".
Font_recognition Deepfont
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136
Its a implementation of DeepFont : Identify Your Font from An Image using Keras
Cnn Sentence Classifier
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135
Implementation of "Convolutional Neural Networks for Sentence Classification" paper
Dhcn
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133
Codes for AAAI'21 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'
Nn_calibration
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133
Calibration of Convolutional Neural Networks
Neurvps
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132
Neural Vanishing Point Scanning via Conic Convolution
Faster Rcnn.torch
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126
Experimental Torch7 implementation of RCNN for Object Detection with a Region Proposal Network
Web2text
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118
Source code for the paper "Web2Text: Deep Structured Boilerplate Removal", full paper @ ECIR'18
Neusum
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118
Code for the ACL 2018 paper "Neural Document Summarization by Jointly Learning to Score and Select Sentences"
Adaptationseg
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116
Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017
Lsoftmax Pytorch
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110
The Pytorch Implementation of L-Softmax
Hccr Googlenet
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109
This project is about directional feature extraction and HCCR-GoogLeNet CNN architecture definition for Caffe platform.
Ai Nlp Paper Readings
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107
This is my reading list for my PhD in AI, NLP, Deep Learning and more.
Convncf
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107
Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".
Robust Detection Benchmark
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106
Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)
Visualizingcnn
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104
🙈A PyTorch implementation of the 2014 ECCV paper "Visualizing and Understanding Convolutional Networks"
Nlp Benchmarks
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102
Pytorch Question Answering
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102
Important paper implementations for Question Answering using PyTorch
Sgg
⭐
100
Train Scene Graph Generation for Visual Genome and GQA in PyTorch >= 1.2 with improved zero and few-shot generalization.
Deepgraphcnnfortexts
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98
Mechanical Fault Diagnosis Based On Deep Learning
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97
CNN for mechanical fault diagnosis
Cnn Rnn Yield Prediction
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94
This repository contains codes for the paper entitled "A CNN-RNN Framework for Crop Yield Prediction"
Recursive Cnns
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94
Implementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."
Core50
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93
CORe50: a new Dataset and Benchmark for Continual Learning
Deep Learning Specialization Coursera
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92
Deep Learning Specialization courses by Andrew Ng, deeplearning.ai
Visual Feature Attribution Using Wasserstein Gans Pytorch
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92
Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch
Snail Pytorch
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91
Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch
Steady State Flow With Neural Nets
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86
A Tensorflow re-implementation of the paper Convolutional Neural Networks for Steady Flow Approximation
Mmwave Localization Learning
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85
🎯 ML-based positioning method from mmWave transmissions - with high accuracy and energy efficiency
Hsn
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81
Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features
Articles
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77
Papers I read
Incremental Learning
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76
Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."
Tridepth
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74
TriDepth: Triangular Patch-based Deep Depth Prediction [Kaneko+, ICCVW2019(oral)]
Drl Rpn Tf
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72
Official Tensorflow implementation of drl-RPN: Deep Reinforcement Learning of Region Proposal Networks (CVPR 2018 paper)
Gcn Align
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72
Code of the paper: Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks.
Wav2letter
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70
Speech Recognition model based off of FAIR research paper built using Pytorch.
Wavelet_networks
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69
Code repository of the paper "Wavelet Networks: Scale Equivariant Learning From Raw Waveforms" https://arxiv.org/abs/2006.05259
Deep_learning_starting_with_the_latest_papers
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65
최신 논문으로 시작하는 딥러닝 강의 (개정된 강의 이름 : 논문으로 짚어보는 딥러닝의 맥) 기록
H Gcn
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64
Source code and datasets for the paper "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification" (IJCAI-19)
Wavelet Like Auto Encoder
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59
Graph_2d_cnn
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59
Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks'
Super Slomo Tf2
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57
Tensorflow 2 implementation of Super SloMo paper
Cgp Cnn
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55
A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)
Neural Snowball
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55
Code and dataset of AAAI2020 Paper Neural Snowball for Few-Shot Relation Learning
Cnndesignpatterns
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55
Caffe code and prototxt files for the CNN Design Patterns paper
Very Deep Convolutional Networks For Natural Language Processing In Tensorflow
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54
implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow
Xray
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53
List of datasets and papers in X-ray security images (Computer vision/Machine Learning)
Rlsp
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49
Official repository containing code and other material from the paper "Efficient Video Super-Resolution through Recurrent Latent Space Propagation" (https://arxiv.org/abs/1909.08080).
Bayesgrad
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48
BayesGrad: Explaining Predictions of Graph Convolutional Networks
Miccai17 Mmwhs Hybrid
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48
If the code is helpful for your work, please cite our paper "Hybrid Loss Guided Convolutional Networks for Whole Heart Parsing" in STACOM Workshop of MICCAI 2017.
Object_detection
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46
Summary of object detection(modules&&improvements)
Colbert Using Bert Sentence Embedding For Humor Detection
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44
Novel model and dataset for the task of humor detection
Cnn Encoder Nmt
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43
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