adrianxsalazar

Naive-bayes-classifier-python

Simple-Generative-Adversarial-Networks-Tutorial

The purpose of this script is to provide a practical exercise #to understand generative adversial networks and the implementation code. #The script includes multiple comments that explain the process implemented #on the lines below the comment. In the script, first we create fucntions that #represent the basic elements of a GAN structure and then we put all the #elements together to create a GAN model.

forest_kaggle_competitition

CSRNet-pytorch

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

PlotNeuralNet

Latex code for making neural networks diagrams

ccnn

Counting CNN and Hydra CNN

uvadlc_practicals_2018

Lab assignments for the Deep Learning course at the University of Amsterdam

Folder-Structure-Conventions

Folder / directory structure options and naming conventions for software projects