Search Results for "elastic" - Page 3
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Showing 145 open source projects for "elastic"
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Milvus
Vector database for scalable similarity search and AI applications
Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus 2.0 is a cloud-native vector database with storage and computation separated by design. All components in this refactored version of Milvus are stateless to enhance elasticity and flexibility. Average latency measured in milliseconds on trillion... -
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amazon-vpc-cni-k8s
Networking plugin repository for pod networking in Kubernetes
Networking plugin repository for pod networking in Kubernetes using Elastic Network Interfaces on AWS. Launch kubelet with network plugins set to cni (--network-plugin=cni), the cni directories configured (--cni-config-dir and --cni-bin-dir) and node ip set to the primary IPv4 address of the primary ENI for the instance (--node-ip=$(curl http://169.254.169.254/latest/meta-data/local-ipv4)). It is also recommended that you set --max-pods equal to (the number of ENIs for the instance type × (the number of IPs per ENI - 1)) + 2; for details, see vpc_ip_resource_limit.go. ... -
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EKS Distro Repository
Amazon EKS Distro (EKS-D) is a Kubernetes distribution
Amazon EKS Distro (EKS-D) is a Kubernetes distribution based on and used by Amazon Elastic Kubernetes Service (EKS) to create reliable and secure Kubernetes clusters. With EKS-D, you can rely on the same versions of Kubernetes and its dependencies deployed by Amazon EKS. This includes the latest upstream updates, as well as extended security patching support. EKS-D follows the same Kubernetes version release cycle as Amazon EKS, and we provide the bits here. -
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Micrometer
App observability facade for the most popular observability tools
Micrometer provides a simple facade over the instrumentation clients for the most popular observability systems, allowing you to instrument your JVM-based application code without vendor lock-in. Think SLF4J, but for observability. Micrometer provides vendor-neutral interfaces for timers, gauges, counters, distribution summaries, and long task timers with a dimensional data model that, when paired with a dimensional monitoring system, allows for efficient access to a particular named metric... -
PRTG Catches Network Issues Before They Cause DowntimeReactive troubleshooting usually means hearing about a problem from frustrated users, not your monitoring tool. PRTG sets threshold-based alerts across devices, servers and applications, notifying your team by email, SMS or push the moment a metric crosses a set limit. That means catching a failing disk or overloaded server before it becomes an outage and getting time back from firefighting. Start a free trial and set your first alerts today.
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aws-devops-zero-to-hero
AWS zero to hero repo for devops engineers to learn AWS in 30 Days
...Later in the curriculum, you move into topics like CloudFormation, CodeCommit/CodePipeline/CodeBuild/CodeDeploy, Terraform on AWS, CloudTrail and Config for compliance, Elastic Load Balancing, and cloud migration strategies. A full day is dedicated to “500 AWS interview questions and answers,” which makes this repo double as an interview prep resource as well as a skills builder. -
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SageMaker Spark Container
Docker image used to run data processing workloads
...The container images in this repository are used to build the pre-built container images that are used when running Spark jobs on Amazon SageMaker using the SageMaker Python SDK. The pre-built images are available in the Amazon Elastic Container Registry (Amazon ECR), and this repository serves as a reference for those wishing to build their own customized Spark containers for use in Amazon SageMaker. -
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Sphere3
An application for analysis of externally pressurized spherical shells
Sphere3 performs strength and stability analyses of nearly perfect thin-wall spherical shells subjected to external hydostatic pressure. Both elastic and inelastic material behavior are supported. It handles single case and parametric studies using user defined geometry and material properties. The effects of initial out-of-sphericity, which govern a spherical Undersea Pressure Vessel’s performance, are estimated using the Krenzke–Kiernan method (David Taylor Model Basin Report 1757, Feb 1965). ... -
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Fachwerk calculates strut-and-tie models used by structural engineers for analysing and designing reinforced concrete structures. The program only uses the equilibrium conditions, thus it is not assuming elastic behaviour.
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SAFEDC
semi-analytical finite element dispersion calculator of guided wave
...Menglong Liu's group from Harbin Institute of Technology, Shenzhen, China. Email liumenglong1988@gmail.com on SAFEDC. The function is as follows: 1. GW in isotropic plate. Acousto-elastic effect can be calculated, and result of dispersion cuve, displacement/stress/strain curve along the thickness, and static/dynamic mode shape can be output. 2. GW in anisotropic plate. laminate with arbitrary material and geometry parameters can be output, and GW in the laminate can be caluclated. 3. Circumenferential and longitudinal GW in Isotropic hollow cylinder. 4. ... -
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Alluxio
Open Source Data Orchestration for the Cloud
...It bridges the gap between computation frameworks and storage systems, bringing data from the storage tier closer to the data driven applications. This enables applications to connect to numerous storage systems through a common interface. It makes data local, more accessible and as elastic as compute. -
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Funi
Python script for calculation of deflection of elastic ropes.
This software implements the equations of the catenary curves, in adimensional formulation. The theory is applicable only to elastic ropes with uniform section. Any number of hanged masses or hangers may be input. The schema may be imported and exported. The graphics of deflections and tensions are shown with reference to X coordinate, while the graphic of stretches is shown with reference to the curvilinear coordinate. The solution is found by iteration, by mean of Scipy Minimize functions of Python, version 1.10. ... -
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Basic features: 1. Generate KPOINTS, POTCAR and INCAR for a given POSCAR file; 2. Elastic-constants using stress-strain or energy-strain methods; 3. Equation-of-state fitting; 4. Suggested k-paths for a given crystal structure; 5. Optical adsorption coefficient; 6. Band structure unfolding; 7. Fermi surface; 8. Density-of-states and band-structure; 9. Charge/spin density, Charge density difference; 10. Vacuum level and work function; 11.
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UStore
Multi-Modal Database replacing MongoDB, Neo4J, and Elastic
Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang. -
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ClassyVision
An end-to-end PyTorch framework for image and video classification
...It offers high performance and scalability—capable of training models like ResNet-50 on ImageNet in just minutes—while remaining accessible to both researchers and production engineers. The library integrates seamlessly with PyTorch Hub for easy access to pretrained models and supports elastic training using PyTorch Elastic, making distributed training robust to changes in cluster resources or hardware failures. -
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OptiMate
Libraries for optimizing AI models, inference speed, and GPU usage
...One of the core components, Speedster, focuses on accelerating model inference by applying state of the art optimization techniques to increase performance while lowering operational costs. Another component, Nos, targets infrastructure optimization by improving GPU utilization in Kubernetes clusters through dynamic partitioning and elastic resource quotas. -
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Curve Ensemble
Curve Ensemble, a tool to manage and create curves
Curve Ensemble is a free C++ open-source project for fitting, editing, and painting curves. The primary focus is on minimal energy curves, and our implimentation includes (Restricted) Elastic Splines as well as several methods related to parametric cubic splines. For each minimal energy curve method the following features are available: * Robust algorithm to find minimal energy interpolating curve. * Flexible node specifications (regular, clamped, free, data ball). * Multiple curves on the same canvas. * Transformation tools (translate, rotate, scale)... -
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NLIGA
Open source Matlab code for nonlinear isogeometric analysis
A unified framework, NLIGA (Non-Linear Isogeometric Analysis), is developed for mainly solving two and three-dimensional nonlinear problems on the MATLAB platform by using isogeometric analysis (IGA). Nonlinear hyperelastic and elastoplastic materials are primarily considered at this stage. Newton-Raphson method is used to solve the nonlinear governing equations. A series of benchmark examples are performed to validate the procedures. The visualization procedures are also developed to... -
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Frame3DD
Static and Dynamic Structural Analysis of 2D and 3D frames.
FRAME3DD is a program for the static and dynamic structural analysis of two- and three-dimensional frames and trusses with elastic and geometric stiffness. -
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CplusPie-font
Proportional Font for Coding
DejaVuSans-cpluspie.ttf is a modified DejaVuSans.ttf to use as proportional font for coding. -
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Amazon Elastic Container Service RPM
Amazon Elastic Container Service RPM
The Amazon Elastic Container Service RPM is software developed to support the Amazon ECS Container Agent. The Amazon ECS RPM is packaged for RPM-based systems that utilize Upstart as the init system. The upstart script installed by the Amazon ECS RPM runs at the completion of runlevel 3, 4, or 5 as the system starts. The script will clean up any previous copies of the Amazon ECS Container Agent, and then start a new copy. -
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Amazon SageMaker Operators Kubernetes
Amazon SageMaker operator for Kubernetes
Amazon SageMaker is a fully managed machine learning service. With SageMaker, data scientists and developers can quickly and easily build and train machine learning models, and then directly deploy them into a production-ready hosted environment. It provides an integrated Jupyter authoring notebook instance for easy access to your data sources for exploration and analysis, so you don't have to manage servers. It also provides common machine learning algorithms that are optimized to run... -
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Elastic
Elasticsearch client for Go
An Elasticsearch client for the Go programming language. Elastic supports different versions of Elasticsearch. However, you must choose the version of Elastic that matches the Elasticsearch version. If you want to use stable versions of Elastic, please use Go modules for the 7.x release (or later) or a dependency manager like dep for earlier releases. Elastic has been used in production starting with Elasticsearch 0.90 up to recent 7.x versions. -
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logging-operator
A golang based operator to create and manage EFK .
Logging Operator is an operator created in Golang to set up and manage EFK(Elasticsearch, Fluentd, and Kibana) cluster inside Kubernetes and Openshift environment. This operator is capable of setting up each individual component of EFK cluster separately. -
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SageMaker MXNet Inference Toolkit
Toolkit for allowing inference and serving with MXNet in SageMaker
...Deep Learning Containers provide optimized environments with TensorFlow and MXNet, Nvidia CUDA (for GPU instances), and Intel MKL (for CPU instances) libraries and are available in the Amazon Elastic Container Registry (Amazon ECR). The AWS DLCs are used in Amazon SageMaker as the default vehicles for your SageMaker jobs such as training, inference, transforms etc. They've been tested for machine learning workloads on Amazon EC2, Amazon ECS and Amazon EKS services as well. -
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elastic-jupyter-operator
Cloud-native way to provide elastic Jupyter Notebooks on Kubernetes
Jupyter is a free, open-source, interactive web tool known as a computational notebook, which researchers can use to combine software code, computational output, explanatory text, and multimedia resources in a single document. For data scientists and machine learning engineers, Jupyter has emerged as a de facto standard. At the same time, there has been growing criticism that the way notebooks are being used leads to low resource utilization. GPU and other hardware resources will be bound to...
