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capsule-networks

PyTorch Implementation of Capsule Networks

capsule-text-classification

利用keras搭建的胶囊网络（capsule network文本分类模型，包含RNN、CNN等等，其中keras_utils包含了capsule层和attention层的源码

capsule_networks

This is the code for "Capsule Networks: An Improvement to Convolutional Networks" by Siraj Raval on Youtube

capsulenet_pokemonclassification

Using Capsule Networks to perform classification of different Pokemon's

capsulenetworks

Using Capsule Networks for image recognition and speech processing

capsules

My implementation of capsule network with dynamic routing

car-traffic-sign-classification

Built and trained a deep neural network to classify traffic signs using Tensorflow

cardiac-segmentation

Convolutional Neural Networks for Cardiac Segmentation

caser

A Matlab implementation of Convolutional Sequence Embedding Recommendation Model (Caser)

ccnns

The code used in my thesis - "On Complex Valued Convolutional Neural Networks" - https://arxiv.org/abs/1602.09046

change-detection

Change detection from streaming data

char-cnn-text-classification-tensorflow

Character-level Convolutional Networks for Text Classification论文仿真实现

chess-piece-recognition

Extension of the Restricted Set Classification (RSC) method for recognising chess pieces on a board from top-view images.

chest-x-ray-images-classification

a simple CNN achieved best performence on Kaggle dataset chest X-Ray Images(Penumonia)

chi_square_classifier

A new Machine learning classifier for class imbalance problem

chinese-sentiment-analysis

gensim-word2vec+svm文本情感分析

clustering-missing-features

K-Means or HAC clustering with Missing Features using Feature Weighted Penalty based Dissimilarity measure

clustering_based_feature_selection

Clustering based Joint feature selection for semantic attribute prediction !!!

cnn-convlstm-time-series

Inspired by the success and computational efficiency of convolutional architectures for various sequential tasks compared to recurrent neural networks. We explored CNN and RCNN autoencoder whose representations can be utilized for the task of time-series classification. Our results surpass existing RNN and DTW-based-classifiers on 11 out of 30 datasets while the existing RNN achieved 8/30.

cnn-for-asi

Tutorial: Convolutional Neural Networks for Automated Seismic Interpretation

cnn-relation-extraction

Tensorflow Implementation of Convolutional Neural Network for Relation Extraction (COLING 2014, NAACL 2015)

cnn-rnn-lte

cnn-techniques

Comparison analysis of 11 convolutional neural networks usingTensorFlow on the CIFAR-10 dataset. (Max Pooling, Local Response Normalization, Batch Normalization, Dropout, Data Augmentation)

cnn-with-different-kernel-size-for-sentence-classification

Convolutional Neural Network (CNN) with different kernel size for sentence classification

cnn_tsc

A CNN for time-series classification

cnn_visualization

Visualize the features that neural network used to classify objects

cnns-on-chb-mit

The project is about applying CNNs to EEG data from CHB-MIT to predict seizure

cognition_personality_deception

Data and analyses for the manuscript submitted to PLoS One

complex_valued_neuralnetwork

conditional-and-nonconditional-capsule-gans

This is the repository for the code used in writing the paper, 'Generative Adversarial Network Architectures For Image Synthesis Using Capsule Network'