This repository contains all the programming assignments from CSCI5525 Machine Learning at UMN.
- ridge regression
- logistic regression
- linear SVM
- kernel SVM
- multi-class logistic regression for MNIST dataset
- fully-connected neural network and convolutional neural network classifier for MNIST dataset
- random forest
- generative adversarial network (GAN)
- denoising auto-encoder
- variational auto-encoder (VAE)
- adversarial examples