An introduction to network analysis and applied graph theory using Python and NetworkX

Must-read papers on graph neural networks (GNN)

Sentiment analysis on Amazon Review Dataset available at https://snap.stanford.edu/data/web-Amazon.html

Homeworks for the course Artificial Neural Networks & Deep Learning @ PoliMi.

Repo containing time series forecasting solutions ranging from N-BEATS, LSTM and autoregressive models trained for predicting stock and bitcoin price.

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

Python Darts deep forecasting models

A way to use N-Beats in fastai for sequence data

N-Beats library implementation

N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started at Element AI.

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis

Search Results Web results A First Course in Network Science by Filippo Menczer

Source Code for 'Applied Recommender Systems with Python' by Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, and V Adithya Krishnan

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

E-commerce products recommender system

A Recommender System for E-Commerce using Collaborative filtering

Building an E-commerce Gift Recommender System based on User-Generated Wishlists

E-Commerce Recommendation System

code for the paper "Personalized Re-ranking for E-commerce Recommender Systems"

Recommender System； Collaborative Filtering；Content-Based Algorithm

Identify the counts of hashtags and mentioned accounts and display it as graph and wordcloud

TMTG(Twint Mention to Graph) is tools for converting twint user mentions data to network graph for use in Gephi or others network mapping tools that support GEXF file format.

This application was developed using streamlit, to scrap tweets using twint and do analytic sentiments with textblob

community detection with Twint

Recommender Systems Specialization class assignments and notes