Search Results for "learning"

...-instance communications, which is critical to scaling these applications. With EFA, High Performance Computing (HPC) applications using the Message Passing Interface (MPI) and Machine Learning (ML) applications using NVIDIA Collective Communications Library (NCCL) can scale to thousands of CPUs or GPUs. As a result, you get the application performance of on-premises HPC clusters with the on-demand elasticity and flexibility of the AWS cloud.

... your application as well. facil.io is easy to code with and aims at minimizing the developer's learning curve. In addition to detailed documentation and examples, the API is unified in style and the same types and API used for HTTP requests is used for JSON and Mustache rendering - so there's less to learn. facil.io should work on Linux / BSD / macOS (and possibly CYGWIN) and is continuously tested on both Linux and macOS.

A Lightweight and fully asynchronous WebSocket client library based on libev for Embedded Linux. And provide Lua-binding. libev tries to follow the UNIX toolbox philosophy of doing one thing only, as good as possible.

I have many ideas when I learning new technology, or new program lang, and I will implements them, upload them here, to share with all of my friends.

XappServer is an application server designed to make it easier for web application development in C++. If you are familiar with Java servlets, glassfish, and/or jboss, the learning curve in developing on XappServer should be shorter.

MimerDesk is a Web-based groupware environment designed for a wide variety of uses such as personal management, computer-supported collaborative learning, carrying out projects, and setting up communities.

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

ApMl provides users with the ability to crawl the web and download pages to their computer in a directory structure suitable for a Machine Learning system to both train itself and classify new documents. Classification Algorithms include Naive Bayes, KNN

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.