Search Results for "python::module" - Page 2
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Showing 182 open source projects for "python::module"
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Create and run cloud-based virtual machines.Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
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AI-powered conversation intelligence softwareEvery customer interaction is vital to your business success and revenue growth. With Jiminny’s AI-powered conversation intelligence software, we take recording, capturing, and meticulous analysis of call recordings to the next level. Unlock call analytics that provide actionable insights with our call tracking software, empowering you to identify what's working and what's not. Seamlessly support your biggest objectives across the entire business landscape with our innovative call tracking system.
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Ganglia
Scalable, distributed monitoring system for high-performance computing
Ganglia is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is based on a hierarchical design targeted at federations of clusters. Supports clusters up to 2000 nodes in size. -
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MUSCLE
Client-server networking library
The MUSCLE system is a fast, portable, flexible client-server system for distributed applications. Clients send BMessage-like PortableMessages to each other either directly or via a centralized server (with built-in database and 'live query' support). -
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GloVe
GloVe model for distributed word representation
...It collects unigram counts, constructs and shuffles cooccurrence data, and trains a simple version of the GloVe model. It also runs a word analogy evaluation script in python to verify word vector quality. -
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aCompute
Aims to enable researcher to tap in to mobile computing capability
This is a software agent based computing program that will enable researchers and other users to tap in computing power of machine available by sharing work load on the fly with zero configuration on network & resources A self organizing agent program that will understand network and its resource. where as the only job left to researcher is to split up jobs in several chunks of programs either parallel or sequential jobs and go issue the job (A visual Modeler or Scripting support need to... -
Pest Control Management SoftwareBuilt for the pest control industry, but also works great for Mosquito Control, Bin Cleaning, Window Washing, Solar Panel Cleaning, and other Home Service Businesses in need of an easy-to-use software that helps you simplify routing, scheduling, communications, payment processing, truck tracking, time tracking, and reporting.
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Ichnaea
Performance Timing Tools
Ichnaea is a set of tools that aid in collecting and tracking parameters and timings for parallel applications. The Performance Modelling Timing Module, PMTM, is a library that wraps system timing calls to abstract these from code developers and aid portability. It also has functionality to store parameters and print those, along with the timing information to a comma separated variable file. The Performance Modelling Analysis Tool, PMAT, is coming soon. This is able to read in and store the outputs from PMTM and produce some graphs based on user-defined criteria. ... -
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This project collects the software developed as part of the OSG Scalability, Reliability and Usability Area.
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The goal of this project is to make possible to access Progress database from any external program that can use sockets. The server (broker and agents) are written in Progress 4GL and made use of sockets capabilities of Progress V9.
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ReorJS
Distributed Computing with JavaScript
Create your own distributed computer that can distributed javascript based applications to any computer with a web browser, headless browser or node.js installation. For more information and updates please see our website - http://reorjs.com. -
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Dun and Bradstreet Connect simplifies the complex burden of data managementThe amount, speed, and types of data created in today’s world can be overwhelming. With D&B Connect, you can instantly benchmark, enrich, and monitor your data against the Dun & Bradstreet Data Cloud to help ensure your systems of record have trusted data to fuel growth.
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PuSSH is Pythonic, Ubiquitous SSH, a Python wrapper/script that runs commands in parallel on clusters/ranges of linux/unix machines via SSH, ideally where SSH is configured to use Kerberos, RSA/DSA keys, or ssh-agent as to avoid password authentication.
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TaskManager
TaskManager manages calculation jobs in a computer cluster environment
TaskManager is an open source infrastructure software for distributing and managing calculation jobs in a Unix computer cluster environment. The TaskManager was designed to control the utilization of a set of hosts even if you are not the administrator of the system. The hosts are embedded in a Unix environment and the user's home directories are mounted on each host. The hosts may have different numbers of CPUs/cores and different kernels. Keep in mind that a user is able to log into each... -
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RainforestCluster
Dynamically manage Amazon EC2 clusters
RainforestCluster is an Amazon EC2 python program that manages and load-balances dynamic clusters to allow for maximum workflow flexibility and speed at minimal cost. It enables one to quickly and cheaply create dynamic compute clusters in the cloud, which can then run computational pipelines generically. It is also able to optimize the use of spot instances - idle computers in Amazon's cloud that are available at drastically reduced cost (5x-10x cheaper) - but can be terminated at any moment if capacity drops or the bid price rises. ... -
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Experiment Design and Administration for Computer Clusters. Latest source code on http://github.com/edacc
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Ganglia Job Monarch
Batch system monitoring and archiving
Job Monarch is an addon to the Ganglia Monitoring System that provides batch job monitoring and archiving plus a graphical overview of clusters and assorted batch systems. Fully supported batch system: Torque, PBS and SLURM. Experimental: LSF, SGE -
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End of Life (EOL) of StackOps Community Distro ============================================== Starting from November 2013, the StackOps Community Distro has been discontinued in favor of the new StackOps 360 distro and the FABuloso OpenStack deployment libraries. If you want to give a try to the StackOps 360 distro, then you have to go to our corporate website at http://www.stackops.com and download the distro right way. If you want to use our FABuloso libraries, you have to visit...
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GXP is a parallel/distributed shell, plus a parallel task execution engine that runs your Makefile in parallel on distributed machines. Very easy to install (no need to compile. install it on YOUR machine and use it on ALL machines).
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corunner
A utility to transport files and execute at remote in prarallel
Are you maitaining many machines and bored with the tedious operation of logging to those machines one by one just for checking the machine's status? Or are you losing patient for your simple script that have to run command in those machines in sequence? The corunner is just for those senarios. It's designed to speed up execution in your machines. It can executes command in handreds of or thousands of machines concurrently. Provide it with your files and command and the machines' location,... -
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PBS Cluster Viz is a project to display information useful to admins and users about a computing cluster managed by a PBS-compatible resource manager. Information includes load and job distribution. Interactive as well as static output is available.
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Portable Linux
Portable Ubuntu Linux for Scientific Computing
Released August 22, 2013 Lubuntu Blends: Biochemistry 13.04 (Raring) v5.44 Linux Kernel Image 3.8.0-29 Lubuntu Blends are pre-installed Wubi disk image remixes of Ubuntu and Debian Science meta packages, A custom boot loader allows installations to be copied and automatically booted from most external or USB flash drives. Once up and running, use earlier Lubuntu Remix README instructions here until documentation is updated.... -
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EXEHDA-AD
Accessing EXEHDA's contextual information from Android devices.
This work has as central objective the conception of an architecture for the information access from a Context Awareness Service of EXEHDA, from mobile devices. This architecture, named EXEHDA-AD, will be distributed with some software components dedicated to the integration with the EXEHDA services, and others to promote the functionalities to the users of mobile devices. Was selected the Android platform for the development of the mobile part of the EXEHDA-DA software... -
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RPyC, or Remote Python Call, is a transparent and symmetrical python library for remote procedure calls, clustering and distributed-computing.
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RedMQ
Simple, flexible messaging with Redis.
RedMQ is a Redis-based messaging system that is specifically designed to support flexible messaging schemes, exposing an API that allows messages to be filtered by a number of message attributes. At its core is a Python TCP server built on Asynchronous Messaging Protocol and Twisted's AMP module. This means RedMQ can support clients in any language, though only two clients - PHP and Python - have been implemented to date. The API is designed with flexibility in mind, providing native support for conditional messaging and custom message routing as well as standard point-to-point and publish-subscribe messaging models. -
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PyDSH is a remote administration tool, consisting of pydsh and pydcp. Pydsh allows you to run a command on multiple hosts in parallel over RSH, SSH or Telnet, OR manage your SSH public keys. The pydcp command allows copying files to/from multiple hosts.
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DISTributed Adaptable Executable (DISTae) is a software layer that allows the portability of programs among different heterogeneous computing units and run the different parts of the code simultaneously in a distributed and heterogeneous environment.
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