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balanced_graph_partitioning

Implementation of Balanced Graph Partitioning Konstantin" - Andreev and Harald Racke (Authors of the paper) by Ivan Vigorito and Lorenzo Frigerio

deep-deterministic-policy-gradient-unity-env

Deep Deterministic Policy Gradient (DDPG) implemented for the unity Reacher Environment

deep-q-learning-network-unity-collector

Deep Q-Learning Network for collecting elements inside a Unity env for Udacity Project

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

ivanvigor.github.io

ivanvigorito.github.io

Project Sources

leveraging-high-dimensional-side-information-for-top-n-recommendation

This is an implementation in Python of "Leveraging High-Dimensional Side Information for Top-N Recommendation" published by # Yifan Chen and Xiang Zhao. PDF and references https://arxiv.org/abs/1702.01516

lit-saint

local-fusion-dynamic-weighted-ensemble

This repository contains an implementation for the Dynamic Weighted Ensemble (DWE) - Local Fusion method. Local Fusion is an ensemble techinque that could be used to improve predictions by weighing appropriately the single models contribution.

maddpg-unity

Multi-Agent Deep Deterministic Policy Gradient applied in Unity Tennis environment

realm-cocoa

Realm is a mobile database: a replacement for Core Data & SQLite

sweng2poli