Pinned Repositories
Classification-Models-Using-R
Various Classification models used are Logistic regression, K-NN, Support Vector Machine, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification using R
Classifier
Classifier by pytorch
EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
em-gaussian
Python code for Expectation-Maximization estimate of Gaussian mixture model
expectation-maximization
An implementation of the expectation maximization algorithm
MIL-nature-medicine-2019
MIL-nature-medicine-2020
MINNs
Codes for our paper "Revisiting Multiple Instance Neural Networks".
misvm
Multiple-Instance Support Vector Machines
multiple_instance_learning
Multiple instance learning for weakly supervised learning
Zfxiaobai's Repositories
Zfxiaobai/wechat-app-mall
微信小程序商城，微信小程序微店
Zfxiaobai/EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
Zfxiaobai/MIL-nature-medicine-2019
Zfxiaobai/Classifier
Classifier by pytorch
Zfxiaobai/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
Zfxiaobai/pytorch_classification
利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码
Zfxiaobai/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Zfxiaobai/Unet-Segmentation-Pytorch-Nest-of-Unets
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
Zfxiaobai/svm-pytorch
Linear SVM with PyTorch
Zfxiaobai/misvm
Multiple-Instance Support Vector Machines
Zfxiaobai/multiple_instance_learning
Multiple instance learning for weakly supervised learning
Zfxiaobai/MIL-nature-medicine-2020
Zfxiaobai/expectation-maximization
An implementation of the expectation maximization algorithm
Zfxiaobai/em-gaussian
Python code for Expectation-Maximization estimate of Gaussian mixture model
Zfxiaobai/VAE-GAN-Pytorch
Generation of 128x128 bird images using VAE-GAN with additional feature matching loss
Zfxiaobai/Pytorch-VAE-GAN
Pytorch implementation of Autoencoding beyond Pixels Using a Learned Similarity Metric
Zfxiaobai/Classification-Models-Using-R
Various Classification models used are Logistic regression, K-NN, Support Vector Machine, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification using R
Zfxiaobai/RBFNeuralNetwork
RBF(Radial Basis Function) Neural Network Implementation in Python
Zfxiaobai/MINNs
Codes for our paper "Revisiting Multiple Instance Neural Networks".
Zfxiaobai/tensorflow-vgg
VGG19 and VGG16 on Tensorflow