Enrico's Projects
https://adventofcode.com/
cloud-provider-gcp contains several projects used to run Kubernetes in Google Cloud
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
Hypermedia project
Ingress controller for Google Cloud
Support code for implementing a Kubernetes cloud provider for Google Cloud Platform
Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
Straming algorithms comparison for dealing with Class Imbalance and Concept Drift in moa
Kaggle challenges for the Course of Artificial Neural Networks and Deep Learning at Politecnico di Milano
Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python
Kaggle challenges for the Course of Recommender System at Politecnico di Milano
This is the official repository for the Recommender Systems course at Politecnico di Milano.
A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
Single Shot MultiBox Detector in TensorFlow
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Put the Extreme Learning Machine algorithm into the WEKA
Android Bluetooth chat with enigma encryption.