vitowalteranelli Goto Github PK
Name: Vito Walter Anelli
Type: User
Company: Polytechnic University of Bari @sisinflab
Location: Bari, Italy
Name: Vito Walter Anelli
Type: User
Company: Polytechnic University of Bari @sisinflab
Location: Bari, Italy
Vocal Assistant / Chatbot Anna to explore Puglia Digital Library
This is a collection of splittings of publicly available Datasets. This collection has been created for two main purposes:
This twofold app (Mobile App and Server App) let you to authenticate yourself with your face, login and password and it recognizes who you are in a community.
Features-Factorization and Feature Spreading Relevance (Knowledge-aware Recommender Systems)
This project allows to evaluate your submissions for past editions of Google HashCode.
This is the solution we implemented during the Google Hashcode 2019 Extended Round - 1,232,411 points - 23rd World rank
kaHFM relies on Factorization Machines and it extends them in different key aspects making use of the semantic information encoded in a knowledge graph
Linked Open Street Map - a middleware to query OSM via SPARQL queries
attempt to make the data released by the Arpa governmental agency open data
The OpenCV matchTemplate primitive for gpu has been adapted in order to enable calculations on 32-bit floating-point raw data.
Papers Results
Recommender Systems algorithms implementations
This is an Android project that let the user to take a photo to a Sudoku grid and it solves it automatically.
Similarity measures play a fundamental role in memory-based nearest neighbors approaches. They recommend items to a user based on the similarity of either items or users in a neighborhood. In this paper we argue that, although it keeps a leading importance in computing recommendations, similarity between users or items should be paired with a value of dissimilarity (computed not just as the complement of the similarity one). We formally modeled and injected this notion in some of the most used similarity measures and evaluated our approach showing its effectiveness in terms of accuracy results.
TimePop is a simple and efficient algorithm that combines the notion of personalized popularity and temporal aspects.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.