Enrico's repositories
moa-replicationstudy
Straming algorithms comparison for dealing with Class Imbalance and Concept Drift in moa
Deep-Reinforcement-Stock-Trading
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.
full_stack_website
Hypermedia project
Recommender_system
Kaggle challenges for the Course of Recommender System at Politecnico di Milano
adventofcode2023-rust
https://adventofcode.com/
NN_challenges
Kaggle challenges for the Course of Artificial Neural Networks and Deep Learning at Politecnico di Milano
world-war-chat
Android Bluetooth chat with enigma encryption.
keras-deep-graph-learning
Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning
moa
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.
Online-Recurrent-Extreme-Learning-Machine
Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python
RecSys_Course_AT_PoliMi
This is the official repository for the Recommender Systems course at Politecnico di Milano.
RLTrader
A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
SSD-Tensorflow
Single Shot MultiBox Detector in TensorFlow
tensortrade
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
WEKA-ELM
Put the Extreme Learning Machine algorithm into the WEKA