Erionis

Flan-T5-Summarization

In-context learning, Fine-Tuning, RLHF on Flan-T5

BERT_Pipeline

Build, Train, and Deploy ML Pipelines using BERT

Kuhn_Poker_CFR

implementation of CFR on Kuhn Poker

Llama2-MedBot

Building a MedicalBot using Llama2, Langchian e Chainlit

Machine_Learning

Introduction to Machine Learning Course for the Artificial Intelligence and Data Analytics Degree - University of Trieste

Simplex_algorithm

Sequential Implementation of Simplex Algorithm

Text_classifier_AutoML

Text Classifier implementation with AutoML

Advanced-Parallel-Programming

AI_logic

This project implements an artificial intelligence solution for solving maze problems using the classic game character Pacman. The goal is to develop an intelligent agent that can navigate through a maze and find the optimal path to reach the target.

burnedcalories_app

Deployment of a burning calories application

AI_search

In this project, your Pacman agent will find paths through his maze world, both to reach a particular location and to collect food efficiently. You will build general search algorithms and apply them to Pacman

BostonhousePricing

Deployment of ML model with Docker

Cars-EDA

Analyzing the Prices of Cars

DeepLearning_Architectures

DeepLearning NYU architectures

DO100x-apps

end2endMLproject

Human_in_the_loop_Pipelines

Optimize ML Models and Deploy Human-in-the-Loop Pipelines

LaMini-Flan-t5-Summarization

ProgrammingLab

ProgrammingLab_project

Stathistical_Methods

Text_Summarizer

TinyVGG-Neural-Network

In this repository I create TinyVGG model with PyTorch and then train it with FashionMNIST dataset. With running main.py file, the dataset can be downloaded on your local storage and the training will start.