Giuseppe Muschetta's repositories
Server_Client_ThreadPool
Server handling multiple clients with the help and efficiency of a thread pool
ChatBOT-using-OpenAI-API-gpt-3.5-turbo
The latest GPT-3.5 Turbo model with higher accuracy at responding in requested formats. Returns a maximum of 4,096 output tokens.
dining_philosophers
An exercise useful for concurrency and thread synchronization!
Distributed-Data-Analysis-And-Mining
Project of Distributed Data Mining with PySpark, an Apache Spark API for Python
FIFO-Queue-data-type
A fully functional queue to use in any of your projects
Hand-Over-Hand-LOCKING
Implementation of a threadsafe concurrent LinkedList, made by scratch with pointers, using very fine grained locking!
MixedDecisionTree
My Computer Science Bachelor's Thesis: A full Python Implementation of a Categoric, Continuous, Multi-Split, Decision Tree
Multiplexed-UDP-Echo-server
Non Blocking I/O Server Implementation, sending and receiving packets over UDP transport protocol. It includes also a Client for user interaction.
NLP_Sentiment_Analysis_amazon_reviews
Text Analytics techniques and Machine Learning models for sentiment analysis
OCaml-interpreter
Implementation of an interpreter in OCAML
OS-Project
Multi-Threaded Project for the "Operating Systems" exam at University of Pisa, focus on signals and thread synchronization (mutexes, condition variables etc.)
Parallel-MapVector-with-ThreadPool
Example of parallel and sequential calculation using an advanced threadpool
Secure-Data-Container
A storage data abstraction, in which you can create and share any objects.
WORTH-as-WORkTogetHer
This application lets you organize and manage your projects in a collaborative way. In short words it will help people coordinating common projects embracing the Kanban method.
Multiplexing-Echo-Server-NIO
A small example of how to create a full Server supporting multiple Clients with just 1 thread, that's the purpose of using Multiplexing technique!
Tris
Two unbeatable Artificial Intelligence are playing TicTacToe (in Italy we call it Tris) thanks to the legendary MINIMAX-DECISION algorithm. This version supports the ALPHA-BETA pruning optimization