Aldo Glielmo's starred repositories
open_spiel
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Inverse-Reinforcement-Learning
Implementations of selected inverse reinforcement learning algorithms.
Safe-Policy-Optimization
NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms
Pytorch-VAE-tutorial
A simple tutorial of Variational AutoEncoders with Pytorch
Registrator.jl
Julia package registration bot
gan-vae-pretrained-pytorch
Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
CompatHelper.jl
Automatically update the [compat] entries for your Julia package's dependencies
VAE-for-Image-Generation
Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets
MacroModelling.jl
Macros and functions to work with DSGE models.
Pytorch-VAE
This is an implementation of the VAE (Variational Autoencoder) for Cifar10
AgentTorch
large population models
BeforeIT.jl
A fast and modular Julia implementation of the macroeconomic ABM of [Poledna et al., European Economic Review (2023)]
Matlab-Code-Run-for-VS-Code
This repo contains the code for the "Matlab Code Run" extension for Visual Studio Code,
matter-for-vscode
Extension to operate Matlab in VS Code
ABCredit.jl
A fast and simple to use Julia implementation of the macroeconomic model described in [Assenza, Delli Gatti, Grazzini (2015)]
julia-resources
People often ask me for resources for learning Julia. Henceforth, I will simply direct you to this repo.