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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

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

pytorch-vae-gan

Pytorch implementation of Autoencoding beyond Pixels Using a Learned Similarity Metric

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

rbfneuralnetwork

RBF(Radial Basis Function) Neural Network Implementation in Python

svm-pytorch

Linear SVM with PyTorch

tensorflow-vgg

VGG19 and VGG16 on Tensorflow

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

vae-gan-pytorch

Generation of 128x128 bird images using VAE-GAN with additional feature matching loss

wechat-app-mall

微信小程序商城，微信小程序微店