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228 search results found

Imagefusion_deepfuse ⭐ 66

Image fusion based on deepfuse network - Tensorflow (based on ICCV2017: deepfuse), Unofficial

Deep_learning_starting_with_the_latest_papers ⭐ 65

최신 논문으로 시작하는 딥러닝 강의 (개정된 강의 이름 : 논문으로 짚어보는 딥러닝의 맥) 기록

SimpNet Paper Files (Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet)

Deeplearning ⭐ 63

For Deeplearning Study

Sentiment Analysis With Convolutional Networks ⭐ 62

Convolutional Neural Network model for Sentiment Analysis of IMDB movie reviews

Dl Ecg Review ⭐ 62

A Review of Deep Learning Methods on ECG Data

Dual Attention Graph Convolutional Network

Visualizing_convnets ⭐ 59

This is the code repository for my Medium post "Understanding your Convolution network with Visualizations"

Two Stream Cnn ⭐ 58

Two Stream CNN implemented in Keras using in skeleton-based action recognition with dataset NTU RGB+D

Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex-valued Convolutional Networks

How To Train Your Neural Net ⭐ 55

Deep learning research implemented on notebooks using PyTorch.

End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion

A C++ implementation to create, visualize and train Convolutional Neural Networks

Machine Learning Library, written in J

Embedded_gcnn ⭐ 54

Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow

Very Deep Convolutional Networks For Natural Language Processing In Tensorflow ⭐ 54

implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow

DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks https://arxiv.org/abs/1901.09229

Lung Segmentation ⭐ 52

Lung segmentation for chest X-Ray images

Graph Network Explainability ⭐ 51

Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "Explainability Techniques for Graph Convolutional Networks" (ICML19)

Neural Figures ⭐ 51

Neural Networks Figures

Resnest Tf2 ⭐ 50

TensorFlow implementation of "ResNeSt: Split-Attention Networks"

U-net segmentation network in Tensorflow

Training a convolutional neural network using own picture dataset

Classifying Relations by Ranking with Convolutional Neural Networks

Tensorflow.tutorials ⭐ 49

Collection of graph neural networks in pytorch

Convolutional Neural Network for Image Classification with Theano.

Dispnet Tensorflow ⭐ 48

TensorFlow implementation of DispNet by Zhijian Jiang.

Semidensenet ⭐ 48

Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation.

Deep Route ⭐ 48

Training a deep FCN network in PyTorch to route circuit layouts

Awesome Cv Paper Review ⭐ 48

计算机视觉各个方向论文速览

Hypergcn ⭐ 48

NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs

Deep Ranking ⭐ 47

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

Blurbgenrecollection Hmc ⭐ 47

Hierarchical multi-label text classification of the BlurbGenreCollection using capsule networks.

Denser Models ⭐ 47

Going Deeper With Convolutional Neural Network For Stock Market Prediction ⭐ 46

Repository for Going Deeper with Convolutional Neural Network for Stock Market Prediction

Event_detector ⭐ 46

Event Detection and Domain Adaptation with Convolutional Neural Networks

Deep Vessel ⭐ 45

Ml In Tf ⭐ 45

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Sdc Vehicle Lane Detection ⭐ 45

I am using an ensemble of classic computer vision and modern deep learning techniques, to detect the lane lines and the vehicles on a highway. This project was part of the Udacity SDC Nanodegree.

Frcnn_git ⭐ 45

Faster R-CNN implementation for rotated boxes

Medicalimagesegmentation ⭐ 45

This repository aims at containing all the code employed at LIVIA to segment medical images. Mainly, our research focuses on bringind the expertise in deep learning and optimization techniques to the medical image analysis domain.

Wpal Network ⭐ 45

Weakly-supervised Pedestrian Attribute Localization Network (WPAL-network).

Sign Language ⭐ 45

Sign Language Recognition for Deaf People

Gabor Convolutional Networks ⭐ 44

@article{GaborCNNs, title={Gabor Convolutional Networks}, author={Luan, Shangzhen and chen, chen and Zhang, Baochang* and han, jungong and Liu, Jianzhuang}, year={2018}, IEEE Trans. Image processing. }

Rt Cnn Vis ⭐ 44

A Platform for Real Time CNN Visualization

Adult Content Recognition from Images Using a Mixture of Convolutional Neural Networks

Text_claasification ⭐ 43

Cnn Captcha Solving ⭐ 42

CAPTCHA solving using Convolutional Neural Networks

Accurate Binary Convolution Network ⭐ 42

Binary Convolution Network for faster real-time processing in ASICs

Slimming Pytorch ⭐ 42

Pytorch Implementationg of “Learning Efficient Convolutional Networks through Network Slimming”

Using Ranking Cnn For Age Estimation ⭐ 41

Using Ranking-CNN for Age Estimation

Cs231n_assignments ⭐ 41

[Assignments] CS231N: Convolutional Neural Networks for Visual Recognition (2016 & 2017)

Convisualize_nb ⭐ 41

Visualisations for Convolutional Neural Networks in Pytorch

Predict and analyze cellular automata using convolutional neural networks

Bestofml ⭐ 40

A repository for sharing best of resources for learning the current state of the art in machine learning. Join our Facebook group:

Attention Augmented Conv ⭐ 39

Implementation from the paper Attention Augmented Convolutional Networks in Tensorflow (https://arxiv.org/pdf/1904.09925v1.pdf)

Instance Segmentation ⭐ 39

Keras_bag_of_tricks ⭐ 39

Bag of Tricks for Image Classification with Convolutional Neural Networks in Keras

Photorestoration ⭐ 39

A hit and go photo restoration pipeline

A Lightweight & Flexible Deep Learning (Neural Network) Framework in Python

Graph Reading Group ⭐ 38

Daily reading group on graphs at KEG

Bi Tbcnn ⭐ 37

Bilateral Neural Network implementation in Tensorflow

Deep Learning Cheatsheet ⭐ 37

Fasterdnn ⭐ 37

Faster Deep Neural Networks

Deep Object Detection ⭐ 36

图解物体检测 & 网络框架. Inspired by awesome object detection, deep object detection does a easy way for understanding in Chinese.

Recurrent Neural Network For Bitcoin Price Prediction ⭐ 36

Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction

Deep Learning Specialization Coursera ⭐ 36

Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.

Neural Network Analog Needle Readout ⭐ 36

Training and using a neural network to read out the value of an analog display - example including small node server for demonstration

Minimumvertexcover_drl ⭐ 35

Learning to solve Minimum Vertex Cover using Graph Convolutional Networks and RL

3D Convolutional Neural Network (CNN) for volumetric inputs. Matlab framework supporting 2D and 3D kernels

Neural Networks ⭐ 34

All about Neural Networks!

Cnn Ms Lesion Segmentation ⭐ 33

MS lesion segmentation using cascaded 3D convolutional neural networks

Simple implementation of CNN (convolutional neural network) with precise-comments.

Neural network library written in C and Javascript

Pytorch Tutorials ⭐ 32

Learn to build your neural network using PyTorch

Fully Convolutional Networks ⭐ 32

Fully Convolutional Networks for Portrait Matting

Deep Learning ⭐ 31

Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the MNIST dataset, namely, a CNN using Keras and a fully-connected network using TensorFlow.

Neural networks for EEG-MEG decoding with MNE-python and Tensorflow.

[AAAI-2020] Official implementations of HCGNets: Gated Convolutional Networks with Hybrid Connectivity for Image Classification

Tempo Cnn ⭐ 30

Framework for estimating temporal properties of music tracks.

Articles Bookmarked ⭐ 29

Multitasksleepnet ⭐ 29

Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification

Robust Gcn ⭐ 29

Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

Vision Tutorial ⭐ 28

Computer Vision Tutorial for Deep Learning Researchers

Audio Source Separation ⭐ 28

PyTorch code to separate instruments from music using a low-latency neural network

Gesturerecognition Pytorch ⭐ 28

Action recognition network -- CNN + LSTM.

Rfdnet Imagesuperresolution ⭐ 28

Keras Implementation of the paper Residual Feature Distillation Network for Lightweight Image Super-Resolution

Mstar_tensorflow ⭐ 28

Tensorflow Project to Classify MSTAR image chips

Convnetcelldetection ⭐ 28

Automatic cell detection in microscopy data using convolutional networks

CS231n Assignments Solutions - Spring 2020

Deep Learning A Z Hands On Artificial Neural Network ⭐ 27

Codes and Templates from the SuperDataScience Course

Deep Learning ⭐ 27

Resources of deep learning courses by Andrew Ng

Speed Prediction ⭐ 27

Use 3D convolutional network to predict the speed of a car via dashcam stream. The final mean squared error on validation set is 3.1 (mile/hour)^2.

Net_intrusion_detection ⭐ 27

Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution

Dl Learning Resources ⭐ 27

Convoluted ⭐ 27

Dependently typed convolutional neural networks

Interstellar Cnn Scheduler ⭐ 27

Tool for optimize CNN blocking

implementation of improved musical onset detection with cnn

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