Generate interest, access liquidity without selling, and execute trades seamlessly. All in one platform.
Geographic restrictions, eligibility, and terms apply.
Get started with Nexo.
Build Securely on Azure with Proven Frameworks
Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.
Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
A HTML scraper that uses machine learning frameworks to extract labelled fields from raw HTML. The project also involves the development of a tool to display the semi structured data generated by the scraper component.
While learning the Zope application server, I wrote an application for my father (Paul) to track his train collection inventory. Since he really wasn't sure how he wanted to organize his inventory, I had to make it really flexible.
HORUS is a system for knowledge acquisition, hypothesis generation, inference and learning. It is an interactive, internet environment accessible to a diverse community of users (public-access or membership basis) - see also UMKAILASH project for more.
Streamline Azure Security with Palo Alto Networks VM-Series
Centrally manage physical and virtualized firewalls with Panorama
Improve your security posture and reduce incident response time. Use the VM-Series to natively analyze Azure traffic and dynamically drive policy updates based on workload changes.
EcoAccess is a non-profit organization. Our mission is to empower people to make informed decisions, using the Internet, that address the root causes of environmental challenges. We are building a free community web site where anyone can ask environmental
This is my Master Degree project, I am trying to improve the movie prediction by using machine learning techniques, for the Netflix data set. This project is done under guidance of Dr. Richard Maclin, at University of Minnesota Duluth.