Search Results for "linux deploy" - Page 19
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Showing 1025 open source projects for "linux deploy"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Thinc
A refreshing functional take on deep learning
Thinc is a lightweight deep learning library that offers an elegant, type-checked, functional-programming API for composing models, with support for layers defined in other frameworks such as PyTorch, TensorFlow and MXNet. You can use Thinc as an interface layer, a standalone toolkit or a flexible way to develop new models. Previous versions of Thinc have been running quietly in production in thousands of companies, via both spaCy and Prodigy. We wrote the new version to let users compose,... -
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PySyft
Data science on data without acquiring a copy
Most software libraries let you compute over the information you own and see inside of machines you control. However, this means that you cannot compute on information without first obtaining (at least partial) ownership of that information. It also means that you cannot compute using machines without first obtaining control over those machines. This is very limiting to human collaboration and systematically drives the centralization of data, because you cannot work with a bunch of data... -
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Layui UI
An open source Web UI component library
layui is a set of open-source Web UI component library, which adopts its own classic modularization specifications and follows the development method of native HTML/CSS/JS. It is very easy to use and ready to use. Its style is simple and light, while its components are elegant and rich. Every detail from source code to usage method has been carefully crafted, which is very suitable for the rapid development of web interface. Layui is different from those front-end frameworks based on the... -
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Free Templates for AWS CloudFormation
Free templates for AWS CloudFormation
Speed up development and migration, reuse our templates to create complex environments for common use cases with ease. Rely on high-quality infrastructure templates: peer-reviewed by an expert (certified AWS solutions architect Professional) and verified with automated tests. You can apply updates to an existing stack with an updated template. CloudFormation will figure out what needs to be changed. Never make manual changes to infrastructure managed by CloudFormation! The bastion host has a... -
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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CapRover
Scalable PaaS (automated Docker+nginx), aka Heroku on Steroids
CapRover is an extremely easy-to-use app/database deployment & web server manager for your NodeJS, Python, PHP, ASP.NET, Ruby, MySQL, MongoDB, Postgres, WordPress (and etc...) applications! It's blazingly fast and very robust as it uses Docker, Nginx, LetsEncrypt and NetData under the hood behind its simple-to-use interface. For a developer who does not like spending hours and days setting up a server, building tools, sending code to the server, building it, getting an SSL certificate,... -
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BotKube
An app that helps you monitor your Kubernetes cluster
BotKube is a messaging bot for monitoring and debugging Kubernetes clusters. It's built and maintained by InfraCloud. BotKube can be integrated with multiple messaging platforms like - Slack, Mattermost, Microsoft Teams to help you monitor your Kubernetes cluster(s), debug critical deployments and gives recommendations for standard practices by running checks on the Kubernetes resources. BotKube watches Kubernetes resources and sends a notification to the channel if any event occurs for... -
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AWS SDK for JavaScript
AWS SDK for JavaScript in the browser and Node.js
Find all the tools, documentation, and sample code you need to develop secure, reliable, and scalable JavaScript applications on the AWS cloud. Read and watch guidance from experts on AWS. See how to get the most from AWS. Find solutions to common challenges. Gain the knowledge to get the most from the AWS cloud. Get started building Node.js applications with the AWS SDK for JavaScript and front-end web and mobile apps with Amplify JavaScript Libraries. Amplify Libraries are built on top of... -
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Database Lab Engine (DLE)
DLE provides blazing-fast database cloning to build dev environments
Thin PostgreSQL clones. DLE provides blazing-fast database cloning to build powerful development, test, QA, staging environments. Follow to stay updated. The Database Lab Engine is an open-source experimentation platform for PostgreSQL databases. Instantly create full-size clones of your production database and use them to test your database migrations, optimize SQL, or deploy full-size staging apps. The Database Lab Engine (DLE) runs on an independent server within your own infrastructure.... -
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Next.js Notion Starter Kit
Deploy your own Notion-powered website in minutes with Next.js
Next.js Notion Starter Kit is a boilerplate / starter template to quickly build a website (blog, portfolio, documentation site) using Next.js and react-notion-x, while using a public Notion page as a CMS. It’s the same foundation the author uses to power their personal site. The idea is to let you write and manage content in Notion, and have that content rendered as a fully functional, statically-generated React/Next.js site, with minimal setup — usually just a configuration file to point to... -
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NVIDIA NeMo Framework
Scalable generative AI framework built for researchers and developers
NVIDIA NeMo is a scalable, cloud-native generative AI framework aimed at researchers and PyTorch developers working on large language models, multimodal models, and speech AI (ASR and TTS), with growing support for computer vision. It provides collections of domain-specific modules and reference implementations that make it easier to pre-train, fine-tune, and deploy very large models on multi-GPU and multi-node infrastructure. NeMo 2.0 introduces a Python-based configuration system,... -
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Agent Stack
Deploy and share agents with open infrastructure
Agent Stack is an open infrastructure platform designed to take AI agents from prototype to production, no matter how they were built. It includes a runtime environment, multi-tenant web UI, catalog of agents, and deployment flow that seeks to remove vendor lock-in and provide greater autonomy. Under the hood it’s built on the “Agent2Agent” (A2A) protocol, enabling interoperability between different agent ecosystems, runtime services, and frameworks. The platform supports agents built in... -
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AWS Lambda for .NET
Libraries, samples and tools to help .NET Core developers
AWS Lambda for .NET is the repository that houses tools, libraries and templates to build and deploy AWS Lambda functions using the .NET ecosystem (including .NET Core and .NET 7+). It provides NuGet packages for event models (e.g., API Gateway, DynamoDB, S3), utilities such as Amazon.Lambda.Tools for CLI deployment, and Blueprints/templates to scaffold serverless .NET projects quickly. The framework supports writing functions in C# (and VB/F# where applicable), integrates with the .NET CLI... -
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Enterprise-Scale
The Azure Landing Zones (Enterprise-Scale) architecture
Enterprise-Scale is a reference architecture and set of landing-zone blueprints for building large, governed Azure estates. It codifies recommended patterns—network topology, identity integration, subscription and resource organization, policy assignment, and guardrails—so enterprises can provision repeatable, secure, and compliant environments for workloads. The project supplies deployable artifacts (Bicep/ARM/Terraform modules, examples, and documentation) to accelerate consistent... -
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uni-app
A cross-platform framework using Vue.js
uni-app is a cross-platform framework that lets developers build applications with Vue syntax and deploy them to multiple targets: iOS, Android, web (H5), and a range of mini-program ecosystems. It abstracts platform differences through a unified component and API layer, so most business logic and UI code can be shared across outputs. The tooling includes a CLI, IDE support, and a plugin market that provides native integrations, UI kits, and deployment helpers. Developers can choose between... -
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LLMStack
No-code multi-agent framework to build LLM Agents, workflows
LLMStack is a no-code platform for building generative AI agents, workflows and chatbots, connecting them to your data and business processes. Build tailor-made generative AI agents, applications and chatbots that cater to your unique needs by chaining multiple LLMs. Seamlessly integrate your own data, internal tools and GPT-powered models without any coding experience using LLMStack's no-code builder. Trigger your AI chains from Slack or Discord. Deploy to the cloud or on-premise. -
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Ray
A unified framework for scalable computing
Modern workloads like deep learning and hyperparameter tuning are compute-intensive and require distributed or parallel execution. Ray makes it effortless to parallelize single machine code — go from a single CPU to multi-core, multi-GPU or multi-node with minimal code changes. Accelerate your PyTorch and Tensorflow workload with a more resource-efficient and flexible distributed execution framework powered by Ray. Accelerate your hyperparameter search workloads with Ray Tune. Find the best... -
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AWS EC2 FPGA
AWS EC2 FPGA hardware and software development Kit
AWS EC2 FPGA Development Kit is a set of development and runtime tools to develop, simulate, debug, compile and run hardware-accelerated applications on Amazon EC2 F1 instances. It is distributed between this GitHub repository and FPGA Developer AMI - Centos/AL2 provided by AWS with no cost of development tools. After creating an FPGA design (also called CL - Custom logic), developers can create an Amazon FPGA Image (AFI) and easily deploy it to an F1 instance. AFIs are reusable, shareable... -
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Ploomber
The fastest way to build data pipelines
Ploomber is an open-source framework designed to simplify the development and deployment of data science and machine learning pipelines. It allows developers to transform exploratory data analysis workflows into production-ready pipelines without rewriting large portions of code. The system integrates with common development environments such as Jupyter Notebook, VS Code, and PyCharm, enabling data scientists to continue working with familiar tools while building scalable workflows. Ploomber... -
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Mach Engine
Zig game engine & graphics toolkit
Mach is a game engine and graphics toolkit written in Zig, built with the goal of enabling high-performance, truly cross-platform 2D, 3D, GUI, and visualization applications. The project aims to deliver a modular, robust foundation where graphics, input, windowing, and rendering are unified under a modern, low-level but ergonomic API. Because Mach is written in Zig (with some shader code / WGSL), it leverages Zig’s performance and modern systems-level features while offering safe-ish... -
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Okteto
Develop your applications directly in your Kubernetes Cluster
Kubernetes has made it very easy to deploy applications to the cloud at a higher scale than ever, but the development practices have not evolved at the same speed as application deployment patterns. Today, most developers try to either run parts of the infrastructure locally or just test these integrations directly in the cluster via CI jobs, or the docker build/redeploy cycle. It works, but this workflow is painful and incredibly slow. Okteto accelerates the development workflow of... -
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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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APIPark
APIPark is the #1 open-source AI Gateway and Developer Portal
APIPark is an open-source, all-in-one AI gateway and API developer portal, that helps developers and enterprises easily manage, integrate, and deploy AI services. No matter which AI model you use, APIPark provides a one-stop integration solution. It unifies the management of all authentication information and tracks the costs of API calls. Standardize the request data format for all AI models. When switching AI models or modifying prompts, it won’t affect your app or microservices,... -
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Encore
The infrastructure platform for the intelligence era
Encore is an infrastructure platform designed to help developers and AI coding agents build, test, and deploy production applications with less manual infrastructure work. It provides an open source infrastructure SDK for TypeScript and Go that lets developers declare databases, Pub/Sub, object storage, caches, cron jobs, secrets, and other resources directly in application code. Encore can run these resources locally with production-like infrastructure and automatically provision... -
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MIVisionX
Set of comprehensive computer vision & machine intelligence libraries
MIVisionX toolkit is a set of comprehensive computer vision and machine intelligence libraries, utilities, and applications bundled into a single toolkit. AMD MIVisionX delivers highly optimized open-source implementation of the Khronos OpenVX™ and OpenVX™ Extensions along with Convolution Neural Net Model Compiler & Optimizer supporting ONNX, and Khronos NNEF™ exchange formats. The toolkit allows for rapid prototyping and deployment of optimized computer vision and machine learning... -
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Farfalle
AI search engine - self-host with local or cloud LLMs
Farfalle is an open-source AI-powered search engine designed to provide an answer-centric search experience similar to modern conversational search systems. The project integrates large language models with multiple search APIs so that the system can gather information from external sources and synthesize responses into concise answers. It can run either with local language models or with cloud-based providers, allowing developers to deploy it privately or integrate with hosted AI services....
