kimile599
Ph.D in Geotech. Looking for cool connections between a traditional engineering major and AI.
Honolulu
Pinned Repositories
DnCNN-Denoise-Gaussian-noise-TensorFlow
Simple implementation of the paper (DnCNN)'Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising'
DnCNN-tensorflow
:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
Image-Denoising-with-Deep-CNNs
Use deep Convolutional Neural Networks (CNNs) with PyTorch, including investigating DnCNN and U-net architectures
imgaug
Image augmentation for machine learning experiments.
kimile599.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
maskrcnn_train_tensorflow_colab
Google Colab (Jupyter) notebook to train Instance Segmentation Tensorflow model with custom dataset, based on Matterport Mask R-CNN
pcl
Point Cloud Library (PCL)
Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
kimile599's Repositories
kimile599/DnCNN-Denoise-Gaussian-noise-TensorFlow
Simple implementation of the paper (DnCNN)'Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising'
kimile599/DnCNN-tensorflow
:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
kimile599/Image-Denoising-with-Deep-CNNs
Use deep Convolutional Neural Networks (CNNs) with PyTorch, including investigating DnCNN and U-net architectures
kimile599/imgaug
Image augmentation for machine learning experiments.
kimile599/kimile599.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
kimile599/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
kimile599/maskrcnn_train_tensorflow_colab
Google Colab (Jupyter) notebook to train Instance Segmentation Tensorflow model with custom dataset, based on Matterport Mask R-CNN
kimile599/pcl
Point Cloud Library (PCL)
kimile599/Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
kimile599/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
kimile599/rotated_maskrcnn
Rotated Mask R-CNN: From Bounding Boxes to Rotated Bounding Boxes
kimile599/unet-nested-multiple-classification
This repository contains code for a multiple classification image segmentation model based on UNet and UNet++
kimile599/waifu2x-caffe
waifu2xのCaffe版
kimile599/wastedata-Mask_RCNN-multiple-classes
predicting more than 2 classes from publicly available image data, for annotation we are using VGG annotator latest version