Luca Geminiani's repositories
W-GAN-For-Simulation-studies
This repository proposes a PyTorch implementation of W-GAN with Penalized Gradients (Gulrajani et al.) for generating artificial cross-sectional data. Code can be easily run on CPU concerning LDW-E, whilst a GPU (easy implementation in Colab) should be used in case of LDW-CPS and LDW-PSID
Language:Python000
Boston-Housing-Neural-Regression
Neural Network implementing simple linear regression with K-validation. The is intended as a simple example of linear regression using neural networks in Julia.
Language:Julia000
MNIST-Dense-vs-Convolutional-approach
This repository applies a Dense and a Convolutional neural network to the same dataset (MNIST) for image recognition.
Language:Julia000