Search Results for "machine learning python" - Page 4
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Showing 91 open source projects for "machine learning python"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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Now part of Apache's Mahout machine learning project at http://mahout.apache.org/-- please see there for latest info and code and releases and support!
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A threaded Web graph (Power law random graph) generator written in Python. It can generate a synthetic Web graph of about one million nodes in a few minutes on a desktop machine. It implements a threaded variant of the RMAT algorithm.
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vbullmin is a data miner bot for vBulletin boards. vbullmin can get all Forums, Topics, Post and Users from a vBulletin. It can be export this values with phpbb2 database schema. It's a sample for Machine Learning. It's using patterns for getting data.
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Remote control a Windows machine without bluetooth using a java (j2me) mobile device. Either use a direct intenet connection, or a bluetooth-net proxy server (resolving bluetooth/802.11g interference while streaming).
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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pypt-offline is a utility for people using Debian (and distros based on debian) on a disconnected machine. It helps in downloading the required data from another, high bandwidth Windows/Linux/Mac box.
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PyIDS is an intrusion detection system whose aim is to provide concise information to administrators about some parts of the system i.e filesystem checksums, unknown connections to the machine, access control lists of special files, log revision...
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Green Machine is a dynamic web content management system written in Python using Django web framework.
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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.
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niab - Network In A Box. Create a virtual lab network inside one machine. A lab can include routers, firewalls, clients and servers connected by a network specified by you. [Linux Network Simulator, UML, user mode linux]
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Save Up to 91% on Cloud Compute With Spot VMsRun batch jobs at 60-91% off with Spot VMs. Long-running workloads get automatic discounts with sustained use.
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Lino is a suite of Python packages for IT professionals who offer business applications for small and medium-sized enterprises.
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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.
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Zope products to form a base for a web site where trainers can easily create and customize online flash-made learning applications for the disabled.
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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
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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
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The Meme Machine generates a visual and spoken narrative among connected nodes and the world wide web, in an expanding network using open source algorithms. The computers exhibit eerie self-deterministic behaviours.
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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.
