Search Results for "clouds"
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Showing 11 open source projects for "clouds"
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Point Cloud Library
A standalone, large scale, open project for 2D/3D image processing
The Point Cloud Library (PCL) is a standalone, large scale, open project for 2D/3D image and point cloud processing. PCL is released under the terms of the BSD license, and thus free for commercial and research use. Whether you’ve just discovered PCL or you’re a long time veteran, this page contains links to a set of resources that will help consolidate your knowledge on PCL and 3D processing. An additional Wiki resource for developers is available too. To simplify both usage and... -
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Cesium
An open-source JavaScript library for world-class 3D globes and maps
...We believe that collaboration is rooted in openness, and are committed to an open ecosystem. Stream, style, and interact with 3D buildings, photogrammetry, and point clouds using the 3D Tiles open specification. -
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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. -
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Easy3D
Efficient library for processing 3D data
Easy3D is a lightweight, easy-to-use, and efficient library for processing and rendering 3D data, implemented in C++ with Python bindings. It is designed for tasks such as 3D modeling, geometry processing, and rendering, emphasizing simplicity and efficiency. Easy3D serves as a valuable tool for research, education, and the development of sophisticated 3D applications, providing a solid foundation for handling 3D data. -
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5
FasterLIO
Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry
...The software supports online ROS operation as well as offline processing of recorded bag files. Users can compile it with CMake or catkin, run it through Docker, visualize output in RViz, and save trajectories and point clouds. Configuration files support multiple sensor datasets, while selectable voxel implementations allow performance and stability tuning. -
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Clouddriver
Read and write operations across cloud providers
Clouddriver is the cloud-provider integration layer of Spinnaker, exposing a uniform API and cache for infrastructure resources across multiple clouds. It discovers and tracks entities such as server groups, load balancers, security groups, images, and instances, normalizing them so higher-level services can reason consistently. The service also brokers mutating operations—like creating server groups or resizing clusters—by translating Spinnaker requests into provider-specific calls. ... -
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PyG
Graph Neural Network Library for PyTorch
...In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support, distributed graph learning via Quiver, a large number of common benchmark datasets (based on simple interfaces to create your own), the GraphGym experiment manager, and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. All it takes is 10-20 lines of code to get started with training a GNN model (see the next section for a quick tour). -
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PyTorch Geometric
Geometric deep learning extension library for PyTorch
...In addition, it consists of an easy-to-use mini-batch loader for many small and single giant graphs, a large number of common benchmark datasets (based on simple interfaces to create your own), and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. We have outsourced a lot of functionality of PyTorch Geometric to other packages, which needs to be additionally installed. These packages come with their own CPU and GPU kernel implementations based on C++/CUDA extensions. We do not recommend installation as root user on your system python. Please setup an Anaconda/Miniconda environment or create a Docker image. ... -
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fog
The Ruby cloud services library
Whether you need compute, dns, storage, or a multitude of other services, fog provides an accessible entry point and facilitates cross-service compatibility. Just getting started working with cloud resources? You are not alone, and having so many complicated options makes it hard to know where to start. fog delivers the knowledge of cloud experts to you, helping you to bootstrap your cloud usage and guiding you as your own expertise develops. By coding with fog from the start you avoid... -
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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StrongKey CryptoEngine
FIDO strong authentication, encryption, digital signature engine
StrongKey CryptoEngine (SKCE) 2.0 is a "crypto Swiss Army knife" server to perform cryptographic functions through web services, while freeing application developers to focus on business functionality. Its modules include: - A FIDO Engine to support FIDO U2F key registrations/authentications - An encryption engine to encrypt/decrypt files using AES/TDES keys - Escrowing keys to on-premises key management system (StrongAuth KeyAppliance/SAKA) - Integration to cloud storage services... -
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...This SourceForge presence represents Dasein Cloud through Dasein Cloud 2012.04 and point releases for that major release. We are still updating 2012.04 with bug fixes for all clouds, so there is no immediate need to move to the latest release, 2012.09. All versions starting with 2012.09 are available at: http://github.org/greese/dasein-cloud
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