Search Results for "clouds"
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Showing 140 open source projects for "clouds"
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Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
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Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Rerun
Visualize streams of multimodal data
Rerun is an open-source tool that helps developers visualize real-time multimodal data streams, such as images, point clouds, and tensors, for debugging and understanding ML and robotics systems. Designed for use with Python and Rust, it captures logged data and renders it through an interactive desktop interface, making it easier to understand how complex systems behave over time. -
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SkyPilot
SkyPilot: Run AI and batch jobs on any infra
SkyPilot is a framework for running AI and batch workloads on any infra, offering unified execution, high cost savings, and high GPU availability. Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface. -
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Pulumi
Developer-first infrastructure as code. Your cloud, your language
...Skip the YAML, and use standard language features like loops, functions, classes, and package management that you already know and love. Pulumi is open source under the Apache 2.0 license, supports many languages and clouds, and is easy to extend. This repo contains the pulumi CLI, language SDKs, and core Pulumi engine, and individual libraries are in their own repos. Walk through end-to-end workflows for creating containers, serverless functions, and other cloud services and infrastructure. -
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Netmaker
Netmaker makes networks with WireGuard
Unify your devices with an ultra-powerful overlay network. Netmaker is better, faster, and more secure. Netmaker automates a secure superhighway between devices, clouds, virtual machines, and servers using WireGuard. It blows past any NAT’s, firewalls, or subnets that stand between them. Devices are scattered across data centers, offices, clouds, clusters, and more. Distinct networks separate them, each with different management rules. Connecting machines across environments means setting up gateways, firewalls, and tunnels, often manually. -
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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JumpServer
Manage assets on different clouds at the same time
...Zero threshold, fast online acquisition and installation. Just a browser, the ultimate Web Terminal experience. Easily support massive concurrent access. One system manages assets on different clouds at the same time. Audit recordings are stored in the cloud and will never be lost. One system, is used by multiple subsidiaries and departments at the same time. Prevent identity fraud and reuse. Prevent internal misuse and permission abuse. Management of people and assets. Retrospective safeguards and basis for accident analysis. -
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WordCloud.jl
Word cloud generator in julia
...It utilizes intelligent strategies and efficient nesting algorithms, implemented entirely in Julia (see Stuffing.jl). As a result, it can easily generate high-resolution word clouds. -
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Fast3R
Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass
Fast3R is Meta AI’s official CVPR 2025 release for “Towards 3D Reconstruction of 1000+ Images in One Forward Pass.” It represents a next-generation feedforward 3D reconstruction model capable of producing dense point clouds and camera poses for hundreds to thousands of images or video frames in a single inference pass—eliminating the need for slow, iterative structure-from-motion pipelines. Built on PyTorch Lightning and extending concepts from DUSt3R and Spann3r, Fast3R unifies multi-view geometry, depth estimation, and camera registration within a single transformer-based architecture. ... -
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Karpor
World's most promising Kubernetes Visualization Tool
...It brings advanced Search, Insight and AI to Kubernetes. It is essentially a Kubernetes Visualization Tool. With Karpor, you can gain crucial visibility into your Kubernetes clusters across any clouds. -
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Segments.ai
Segments.ai Python SDK
...The platform for fast and accurate multi-sensor data annotation. Label in-house or with an external workforce. Intuitive labeling interfaces for images, videos, and 3D point clouds (lidar and RGBD). Obtain segmentation labels, vector labels, and more. Our labeling interfaces are set up to label fast and precise. Powerful ML assistance lets you label faster and reduce costs. Integrate data labeling into your existing ML pipelines and workflows using our simple yet powerful Python SDK. Onboard your own workforce or use one of our workforce partners. ... -
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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Kilo
Kilo is a multi-cloud network overlay built on WireGuard
A multi-cloud network overlay built on WireGuard and designed for Kubernetes. Kilo can be installed on any Kubernetes cluster, allowing nodes located in different clouds or in different countries to form a single cluster. Kilo uses WireGuard, a performant and secure VPN, to create a mesh between the different nodes in a cluster. Kilo brings advanced networking functionality to Kubernetes clusters, like accessing Pods via VPN and creating multi-cluster services. Kilo connects nodes in a cluster by providing an encrypted layer 3 network that can span across data centers and public clouds. -
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HunyuanWorld-Mirror
Fast and Universal 3D reconstruction model for versatile tasks
...The model accepts combinations of images, camera intrinsics and poses, or even depth cues, then reconstructs consistent 3D geometry suitable for downstream rendering or editing. The pipeline emphasizes both speed and flexibility so creators can go from casual captures to assets without elaborate capture rigs. Outputs can include point clouds, estimated camera parameters, and other 3D representations that plug into typical graphics workflows. The project sits within a broader family of Hunyuan models that explore world generation and 3D-consistent understanding, and this mirror variant makes the reconstruction stack easier to test. It’s attractive for rapid prototyping of scenes, environment scans, or reference assets when you need repeatable 3D results from ordinary media. -
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PyTorch3D
PyTorch3D is FAIR's library of reusable components for deep learning
PyTorch3D is a comprehensive library for 3D deep learning that brings differentiable rendering, geometric operations, and 3D data structures into the PyTorch ecosystem. It’s designed to make it easy to build and train neural networks that work directly with 3D data such as meshes, point clouds, and implicit surfaces. The library provides fast GPU-accelerated implementations of rendering pipelines, transformations, rasterization, and lighting—making it possible to compute gradients through full 3D rendering processes. Researchers use it for tasks like shape generation, reconstruction, view synthesis, and visual reasoning. ... -
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CloudCompare
CloudCompare main repository
CloudCompare is a 3D point cloud (and triangular mesh) processing software. It was originally designed to perform comparison between two 3D points clouds (such as the ones obtained with a laser scanner) or between a point cloud and a triangular mesh. It relies on an octree structure that is highly optimized for this particular use-case. It was also meant to deal with huge point clouds (typically more than 10 million points, and up to 120 million with 2 GB of memory). -
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MicroK8s
Single-package Kubernetes for developers, IoT and edge
...No admin needed for your bulletproof edge. MicroK8s is small, with sensible defaults that ‘just work’. A quick install, easy upgrades and great security make it perfect for micro clouds and edge computing. As the publishers of MicroK8s, we deliver the world’s most efficient multi-cloud, multi-arch Kubernetes. Under the cell tower. On the racecar. On satellites or everyday appliances, MicroK8s delivers the full Kubernetes experience on IoT and micro clouds. Fully containerized deployment with compressed over-the-air updates for ultra-reliable operations. ... -
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Lance
Modern columnar data format for ML and LLMs implemented in Rust
Lance is a columnar data format that is easy and fast to version, query and train on. It’s designed to be used with images, videos, 3D point clouds, audio and of course tabular data. It supports any POSIX file systems, and cloud storage like AWS S3 and Google Cloud Storage. -
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Windrecorder
Windrecorder is a memory search app by records everything
...The tool emphasizes privacy by running entirely offline, ensuring that all captured data remains on the user’s device without external transmission. It also provides analytical insights such as activity summaries, word clouds, and timelines, making it useful for productivity tracking and recall. -
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CloudServer
Zenko CloudServer open-source Node.js implementation of S3 protocol
Zenko CloudServer, an open-source Node.js implementation of the Amazon S3 protocol on the front-end and backend storage capabilities to multiple clouds, including Azure and Google. -
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Serverless Adapter
Run REST APIs and other web applications using existing Node.js app
Run REST APIs and other web applications using your existing Node.js application framework (NestJS, Express, Koa, Hapi, Fastify and many others), on top of AWS, Azure, Digital Ocean and many other clouds. The library was designed to be very extensible and easy to use. We currently support AWS, Azure, Firebase, Digital Ocean, Google Cloud Functions and Huawei. The entire library was written with typescript to give the developer the best experience and we have 100% coverage. -
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RabbitMQ Server
Core server and tier 1 (built-in) plugins
RabbitMQ is the most widely deployed open source message broker. With tens of thousands of users, RabbitMQ is one of the most popular open source message brokers. From T-Mobile to Runtastic, RabbitMQ is used worldwide at small startups and large enterprises. RabbitMQ is lightweight and easy to deploy on premises and in the cloud. It supports multiple messaging protocols. RabbitMQ can be deployed in distributed and federated configurations to meet high-scale, high-availability requirements.... -
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Antrea
Kubernetes networking based on Open vSwitch
Antrea is a Kubernetes-native project that implements the Container Network Interface (CNI) and Kubernetes NetworkPolicy thereby providing network connectivity and security for pod workloads. Antrea extends the benefit of programmable networks from Open vSwitch (OVS) to Kubernetes. Antrea simplifies Kubernetes networking across differing clouds and operating systems with a unified network stack built atop Open vSwitch. Antrea is designed to ease deployment, operations and troubleshooting by adopting Kubernetes controller patterns and providing diagnostics consumable by tools network operators know and love. With the programmability of Open vSwitch under the hood, Antrea can be extended to support advanced network use cases like kernel bypass and network service mesh. -
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Juju
Orchestration engine that enables the deployment, and integration
Juju is an open source application orchestration engine that enables any application operation (deployment, integration, lifecycle management) on any infrastructure (Kubernetes or otherwise) at any scale (development or production) in the same easy way (typically, one line of code), through special operators called ‘charms’. A charm is an operator - business logic encapsulated in reusable software packages that automate every aspect of an application's life. -
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Nomad
Easy-to-use, flexible, and performant workload orchestrator
A simple and flexible workload orchestrator to deploy and manage containers and non-containerized applications across on-prem and clouds at scale. Single binary that integrates into existing infrastructure. Easy to operate on-prem or in the cloud with minimal overhead. Orchestrate applications of any type, not just containers. First class support for Docker, Windows, Java, VMs, and more. Bring orchestration benefits to existing services. Achieve zero downtime deployments, improved resilience, higher resource utilization, and more without containerization. ... -
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Kamal
Deploy web apps anywhere
Kamal offers zero-downtime deploys, rolling restarts, asset bridging, remote builds, accessory service management, and everything else you need to deploy and manage your web app in production with Docker. Originally built for Rails apps, Kamal will work with any type of web app that can be containerized. Kamal seeks to bring the advance in ergonomics pioneered by these commercial offerings to deploying web apps anywhere. Whether that’s low-cost cloud options without the managed-service... -
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Stash Kubernetes
Backup your Kubernetes Stateful Applications
A complete Kubernetes native disaster recovery solution for backup and restore your volumes and databases in Kubernetes on any public and private clouds. Backup your data in Kubernetes native way. Stash uses Custom Resource Definition (CRD) to specify targets and behaviors of the backup and restore process. Schedule a backup for your workloads in the same way you deployed them into Kubernetes. Back up your Kubernetes volumes mounted in a workload. Stash supports Deployment, DaemonSet, StatefulSet, ReplicaSet, ReplicationController, OpenShift DeploymentConfig etc. ... -
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VGGT-Ω
[CVPR 2026 Oral] VGGT Omega
...It includes pretrained model variants with different resolutions and text-alignment capabilities, though checkpoint access may require approval. The repository also provides a Gradio demo that can visualize predicted cameras and depth-unprojected point clouds as a GLB scene. VGGT-Omega is best suited for researchers and developers working on 3D reconstruction, visual geometry, and image-based scene understanding.
