Search Results for "deploy" - Page 33
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Showing 1377 open source projects for "deploy"
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Compliant and Reliable File Transfers Backed by Top Security CertificationsStop relying on non-certified, legacy file transfer tools that creak under the weight of modern security demands. Get full audit trails, advanced access controls and more supported by an award-winning team of experts. Start your free 25-day trial today.
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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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FUSUMA
Fusuma makes slides with Markdown easily
Deploy Mode, for deploying to GitHub pages. And PDF Mode, for exporting slides as PDF. -
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MLOps Course
Learn how to design, develop, deploy and iterate on ML apps
The MLOps Course by Goku Mohandas is an open-source curriculum that teaches how to combine machine learning with solid software engineering to build production-grade ML applications. It is structured around the full lifecycle: data pipelines, modeling, experiment tracking, deployment, testing, monitoring, and iteration. The repository itself contains configuration, code examples, and links to accompanying lessons hosted on the Made With ML site, which provide detailed narrative explanations... -
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mevn
Light speed setup for MEVN(Mongo Express Vue Node) Apps
MEVN-CLI takes care of everything from project scaffolding to the deployment phase. Deploy your production-ready application to the cloud solution of choice. Get up and running with a multi-container Docker application in no time. A CLI tool for getting started with the MEVN stack. It offers a super-simple boilerplate template and additional utilities for building a MEVN stack-based webapp. It takes away the hassle of setting up the local development environment which may become a nightmare especially for beginners who are just starting out. ... -
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Fully Responsive: With ClipBucket VOD script you can launch your fully responsive VOD Platform in just a matter of few minutes! You can deploy your platform across Website, Android App, iOS App
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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MakeItSoft
MakeItSoft is a software that helps you to easily deploy Business Apps
MakeItSoft is a software that helps you to easily deploy Business Application to increase your productivity. - Server Edition - Portal Client : https://sourceforge.net/projects/makeitsoft/files/server-edition/0.9.5-202103051541/makeItSoft-portalClient-0.9.5-202103051541.exe/download - Server Edition Provider : https://sourceforge.net/projects/makeitsoft/files/server-edition/0.9.5-202103051541/make_it_soft_provider-0.9.5-202103051541-py3-none-any.whl/download - Desktop Edition : https://sourceforge.net/projects/makeitsoft/files/desktop-edition/0.9.5-202103051541/makeItSoft-fullDesktop-0.9.5-202103051541.exe/download Visit website https://make-it-soft.com/ -
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Gluon CV Toolkit
Gluon CV Toolkit
...The model zoo is the one-stop shopping center for many models you are expecting. GluonCV embraces a flexible development pattern while is super easy to optimize and deploy without retaining a heavyweight deep learning framework. -
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BudgetML
Deploy a ML inference service on a budget in 10 lines of code
Deploy a ML inference service on a budget in less than 10 lines of code. BudgetML is perfect for practitioners who would like to quickly deploy their models to an endpoint, but not waste a lot of time, money, and effort trying to figure out how to do this end-to-end. We built BudgetML because it's hard to find a simple way to get a model in production fast and cheaply. -
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Mininet
Emulator for rapid prototyping of Software Defined Networks
Mininet creates a realistic virtual network, running real kernel, switch and application code, on a single machine (VM, cloud or native), in seconds, with a single command. Because you can easily interact with your network using the Mininet CLI (and API), customize it, share it with others, or deploy it on real hardware, Mininet is useful for development, teaching, and research. Mininet is also a great way to develop, share, and experiment with Software-Defined Networking (SDN) systems using OpenFlow and P4. Mininet is actively developed and supported, and is released under a permissive BSD Open Source license. We encourage you to contribute code, bug reports/fixes, documentation, and anything else that can improve the system! ... -
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CF Workers Status Page
Monitor your websites, showcase status including daily history
Monitor your websites, showcase status including daily history, and get Slack notifications whenever your website status changes. Using Cloudflare Workers, CRON Triggers, and KV storage. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Gilfoyle
Distributed video encoding, hosting and streaming
Gilfoyle is a web application from the Dreamvo project that runs a self-hosted media streaming server. Allowing you to easily implement media streaming in any application at any scale. It's written in Golang, mostly designed for Kubernetes and runs as a single Linux binary with PostgreSQL and RabbitMQ. -
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Jekyll Starter Kit
Jekyll Progressive Web App Generator
Jekyll Progressive Web App Generator. -
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Kubeless
Kubernetes Native Serverless Framework
kubeless is a Kubernetes-native serverless framework that lets you deploy small bits of code without having to worry about the underlying infrastructure plumbing. It leverages Kubernetes resources to provide auto-scaling, API routing, monitoring, troubleshooting, and more. Kubeless stands out as we use a Custom Resource Definition to be able to create functions as custom Kubernetes resources. We then run an in-cluster controller that watches these custom resources and launches runtimes on-demand. ... -
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Litemall
litemall = Spring Boot
...Litemall supports common e-commerce features such as product catalog, order processing, payment integration, user management, and statistical analysis, making it easy to customize and deploy a standalone online store. -
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Chatroom
Chatroom
Chatroom. -
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RVM
Ruby enVironment Manager (RVM)
RVM is a command-line tool that allows you to easily install, manage, and work with multiple ruby environments from interpreters to sets of gems. RVM is the acronym of Ruby enVironment Manager. It manages Ruby application environments and enables switching between them. RVM lets you deploy each project with its own completely self-contained and dedicated environment, from the specific version of ruby, all the way down to the precise set of required gems to run your application. Having a precise set of gems also avoids the issue of version conflicts between projects, which can cause difficult-to-trace errors and hours of hair loss. ... -
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Atgen A2 Automation
Atgen A2 is a radically simple Workload Automation & Scheduling tool.
Atgen A2 is a radically simple IT automation solution that automates application builds, continuous testing, data parsing & processing, report generation, batch processing, job scheduling, and many other IT needs. Avoid running repetitive batch jobs and managing access to deploy and update your applications — automate in a language that approaches plain English, using SSH or WinRM, with no agents to install on remote systems. https://www.atgensoft.com/ You can install a released version of Atgen A2 via package manager(yum) by downloading latest release. https://www.atgensoft.com @atgenautomation -
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SAPTweak
Smart SAP tools
Smart SAP tools for R/3, ECC & HANA Standalone ABAP programs with PDF documentation. Free to deploy and modify in your SAP system - only the source webpage and developer name must be referenced in the source code. contact: gbarnie79@gmail.com -
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NoisePage
Self-Driving Database Management System
...We seek to create a system that not only able to optimize the current workload, but also to predict future workload trends and prepare itself accordingly. Our plan is for NoisePage to support the most common database tuning techniques without requiring humans to determine the right way and proper time to deploy them. It will also enable new optimizations that are important for modern high-performance DBMSs. -
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mm-wiki
Lightweight enterprise knowledge sharing and team collaboration
MM-Wiki is a lightweight enterprise knowledge sharing and team collaboration software that can be used to quickly build an enterprise Wiki and team knowledge sharing platform. Easy to deploy and easy to use, it helps teams build a collaborative environment for information sharing and document management. It is easy to deploy, written based on golang, and you only need to download and execute the binary files under the platform. Quick Installer, provides a convenient installation interface program without any manual operation. ... -
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Amazon SageMaker Examples
Jupyter notebooks that demonstrate how to build models using SageMaker
Welcome to Amazon SageMaker. This projects highlights example Jupyter notebooks for a variety of machine learning use cases that you can run in SageMaker. If you’re new to SageMaker we recommend starting with more feature-rich SageMaker Studio. It uses the familiar JupyterLab interface and has seamless integration with a variety of deep learning and data science environments and scalable compute resources for training, inference, and other ML operations. Studio offers teams and companies... -
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SageMaker MXNet Training Toolkit
Toolkit for running MXNet training scripts on SageMaker
...For the Dockerfiles used for building SageMaker MXNet Containers, see AWS Deep Learning Containers. For information on running MXNet jobs on Amazon SageMaker, please refer to the SageMaker Python SDK documentation. With the SDK, you can train and deploy models using popular deep learning frameworks Apache MXNet and TensorFlow. You can also train and deploy models with Amazon algorithms, which are scalable implementations of core machine learning algorithms that are optimized for SageMaker and GPU training. If you have your own algorithms built into SageMaker compatible Docker containers, you can train and host models using these as well. -
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...https://simpligility.github.io/ksoap2-android/index.html Note that app-debug-update-1.apk points to Microsoft Azure Cloud and app-debug-update-2.apk points to OpenShift Online so there is no need to deploy backend for testing purpose app-debug-update-3.apk points to OpenShift Online (us-west-2) app-debug-update-4.apk points to Google Compute Engine app-debug-update-5.apk points to Google Compute Engine (us-central1-a) app-debug-update-6.apk points to Google Compute Engine (us-central1-a) app-debug-update-7.apk points to 192.168.0.33 app-debug-update-8.apk added persistence app-debug-update-9.apk refactoring app-debug-update-10.apk update to ksoap2 3.6.4
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...Allows users to manage several switches in the same web page ; only one authentification permits you to access and save all your swithes, using SSO with kerberos or simple login/password form. It permit users to easily tag/untag a port in VLANs, create delete and rename VLANs, deploy a VLAN in several switches, backup switches configuration files in only one click..
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Nebula-Python-SDK
A python SDK for managing Nebula container orchestrator
...Designed to connect to devices that are spread around the globe Nebula is tolerant of network connection issues and will resync the device when it reconnects. With a single API call you can deploy a new container version to managed devices around the globe in minutes. -
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SQLFlow
SQL compiler bridging databases and machine learning workflows
SQLFlow is an open source project designed to bridge the gap between traditional SQL-based data processing and modern machine learning workflows by extending SQL syntax with AI capabilities. It acts as a compiler that translates SQL programs into executable workflows, enabling users to train, evaluate, and deploy machine learning models directly from SQL statements. It integrates with multiple database engines such as MySQL, Hive, and MaxCompute, while also supporting machine learning frameworks like TensorFlow and XGBoost. By embedding machine learning operations into SQL, it removes the need for users to switch between programming languages such as Python or R, simplifying the overall workflow. ...
