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Kenta


Last seen: etwa ein Monat vor Aktiv seit 2018

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Python

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sketch2im using Conditional GAN (pix2pix)
Image to Image Translation Using Generative Adversarial Networks

mehr als 2 Jahre vor | 5 Downloads |

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MATLAB MobileとPythonライブラリ folium によるGPSデータのプロット
This repo shows how to plot GNSS data obtained by MATLAB mobile using a python library, folium.

mehr als 2 Jahre vor | 1 Download |

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機械学習による迷惑メールの分類
各単語の出現頻度や単語のベクトル化により、迷惑メールの分類を行います。ナイーブベイズを用いたものと、LSTMによるものの2通りを用意しています。

mehr als 2 Jahre vor | 1 Download |

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Explainable AI with Score-CAM
This repo shows a MATLAB implementation of score-CAM (Wang et al., CVPR workshop, 2020). This method is the first gradient-free ...

mehr als 2 Jahre vor | 6 Downloads |

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Video classification using LSTM(LSTMによる動画の分類)
simple example of video classification with LSTM

mehr als 2 Jahre vor | 8 Downloads |

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Classify crack image using deep learning and explain "WHY"
This demo shows how to classify crack images using deep learning and explain why behind the decision. このデモでは、深層学習によりひび割れ画像を分類し、さ...

mehr als 2 Jahre vor | 11 Downloads |

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Semantic segmentation using Pascal VOC
This example shows how to train a semantic segmentation network using deep learning using Pascal VOC dataset.

mehr als 2 Jahre vor | 14 Downloads |

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Image Classification using CNN with Multi Input 複数の入力層を持つCNN
This demo shows how to implement convolutional neural network (CNN) for image classification with multi-input. カスタムループを用いて複数入力のC...

mehr als 2 Jahre vor | 30 Downloads |

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CNN classification using random erasing/cut out
This demo shows how to do random erasing/cut out augmentation in CNN classification. random erasing や cut outとよばれる方法を用いて画像にマスクをか...

mehr als 2 Jahre vor | 6 Downloads |

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Crack detection using one-class SVM (1クラスsvmによるひび割れ検知)
This demo shows how to detect the crack images using one-class SVM. このデモでは、1クラスSVMを用いて、ひび割れを自動的に検知します。

mehr als 2 Jahre vor | 6 Downloads |

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Oversampling for deep learning: classification example
This example show how to classify images with imbalanced training dataset where the number of images per class is different over...

mehr als 2 Jahre vor | 10 Downloads |

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Image clustering and dimension reduction using CNN
This demo shows how to perform image clustering and dimension reduction using a pre-trained network. 学習済みネットワークを利用し、画像のクラスタリングや次...

mehr als 2 Jahre vor | 23 Downloads |

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movie2gif
A tool for converting movie into gif

mehr als 2 Jahre vor | 14 Downloads |

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Explainable AI: interpreting the classification using LIME
This demo shows how to interpret the classification by CNN using LIME (Local Interpretable Model-agnostic Explanations) [1]. LIM...

mehr als 2 Jahre vor | 9 Downloads |

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Image classification using CNN with mixup data augmentation
This demo shows how to perform a data augmentation method called mix-up/random paring for image classification using CNN

mehr als 2 Jahre vor | 9 Downloads |

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Classify point clouds using PointNet(点群深層学習による点群の分類)
This demo shows how to classify point clouds using a method using deep learning for PointNet.

mehr als 3 Jahre vor | 7 Downloads |

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Conditional GAN and CNN classification with Fashion MNIST
This demo shows how to classify fashion item data (fashion MNIST) and synthesize those images using conditional GAN. fashion MNI...

fast 4 Jahre vor | 15 Downloads |

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Generating digits by interpolating latent space with VAE
Continuous digit generation using variational auto encoder (VAE) by interpolating the latent space. VAEによる数字の自動生成

fast 4 Jahre vor | 8 Downloads |

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Conditional VAE (Variational Auto Encoder) 条件付きVAE
This example shows how to create a conditional variational autoencoder (VAE) in MATLAB to generate digit images. 条件付き変分オートエンコーダに...

etwa 4 Jahre vor | 13 Downloads |

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ZCA whitening for image classification ZCA白色化
This demo shows how to do ZCA whitening transformation for image classification. このデモでは、深層学習による分類の前処理としてZCA白色化を行います。

etwa 4 Jahre vor | 1 Download |

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Visualizing a hyper-plane in SVM classifier(SVMの分離境界面の可視化)
A hyper-plane in SVM classifier was visualized. 3変数にてSVMを使い、分類を行うときの分離曲面を可視化します。

etwa 4 Jahre vor | 13 Downloads |

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Conditional GAN (Generative Adversarial Network) with MNIST
Hand-written digits were synthesized using a generative adversarial network called Conditional GAN. Conditional GANを用いて手書き数字を生成し...

etwa 4 Jahre vor | 19 Downloads |

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Continuous activation map generation at training process
Please click the thumbnail to watch the GIF file. 概要はサムネイルをクリックして下さい.This demo shows how to continuously create a class activati...

etwa 4 Jahre vor | 1 Download |

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Generating hand-written numbers using VAE(VAEによる手書き文字の生成)
This demo generates a hand-written number gradually changing from 0 to1.

etwa 4 Jahre vor | 2 Downloads |

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