Search Results for "model"
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Showing 309 open source projects for "model"
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Deploy Red Hat Ansible Automation Platform on Microsoft Azure for a strategic automation solution that allows you to orchestrate, govern and operationalize your Azure environment.
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It protects your internal resources such as behind-the-firewall applications, teams, and devices.
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JupyterLab
JupyterLab computational environment
... new workflows for interactive computing. JupyterLab also offers a unified model for viewing and handling data formats. JupyterLab understands many file formats (images, CSV, JSON, Markdown, PDF, Vega, Vega-Lite, etc.) and can also display rich kernel output in these formats. See File and Output Formats for more information. To navigate the user interface, JupyterLab offers customizable keyboard shortcuts and the ability to use key maps from vim, emacs, and Sublime Text in the text editor. -
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Prometheus
Open source monitoring system and time series database
Prometheus is a leading open source systems and service monitoring solution. It works by collecting metrics from configured targets at given intervals, evaluating rule expressions, and then displaying the results. It can also signal an alert if a condition is observed to be true. What sets Prometheus apart from other monitoring systems is its highly dimensional data model, powerful query language, autonomous single server nodes, among many other distinguishing features. It also offers... -
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Osquery
SQL operating system instrumentation and monitoring framework
..., hardware events or file hashes.Osquery queries your devices like a database. Osquery uses basic SQL commands to leverage a relational data-model to describe a device. Frequently, attackers will leave a malicious process running but delete the original binary on disk. This query returns any process whose original binary has been deleted, which could be an indicator of a suspicious process. -
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Jaeger
Monitor and troubleshoot transactions in complex distributed systems
.... It is used for monitoring and troubleshooting microservices-based distributed systems. OpenTracing compatible data model and instrumentation libraries include Go, Java, Node, Python, C++ and C#. Jaeger uses consistent upfront sampling with individual per service/endpoint probabilities and it has multiple storage backends: Cassandra, Elasticsearch, memory. -
Whether natural disaster, cyberattack, or plain-old human error, data can disappear in the blink of an eye. ConnectWise BCDR (formerly Recover) delivers reliable and secure backup and disaster recovery backed by powerful automation and a 24/7 NOC to get your clients back to work in minutes, not days.
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Apache RocketMQ
Distributed messaging and streaming platform with low latency
...-in message tracing capability, also support opentracing. Versatile big-data and streaming ecosytem integration. Message retroactivity by time or offset. Reliable FIFO and strict ordered messaging in the same queue. Efficient pull and push consumption model. Million-level message accumulation capacity in a single queue. Multiple messaging protocols like JMS and OpenMessaging. Flexible distributed scale-out deployment architecture. Lightning-fast batch message exchange system. -
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Redix
A very simple pure key => value storage system that speaks Redis
redix is a very simple key => value storage engine that speaks redis and even more simpler and flexible. redis is very simple, sometimes we abuse it, so I decided to build a pure key-value storage system that introduces the core utilities for building any data structure you want based on the key => value model that is because I think that everything could be modeled easily using that model, so I decided to not to follow redis and all of its commands, you won’t find lpush, hset, sadd, … etc you... -
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PyG
Graph Neural Network Library for PyTorch
... 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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Phoenix
Uncover insights, surface problems, monitor, and fine tune your LLM
Phoenix provides ML insights at lightning speed with zero-config observability for model drift, performance, and data quality. Phoenix is an Open Source ML Observability library designed for the Notebook. The toolset is designed to ingest model inference data for LLMs, CV, NLP and tabular datasets. It allows Data Scientists to quickly visualize their model data, monitor performance, track down issues & insights, and easily export to improve. Deep Learning Models (CV, LLM, and Generative... -
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flannel
flannel is a network fabric for containers, designed for Kubernetes
... that each container (pod) has a unique, routable IP inside the cluster. The advantage of this model is that it removes the port mapping complexities that come from sharing a single host IP. Flannel is responsible for providing a layer 3 IPv4 network between multiple nodes in a cluster. Flannel does not control how containers are networked to the host, only how the traffic is transported between hosts. However, flannel does provide a CNI plugin for Kubernetes and a guidance on integrating with Docker. -
Chat with your business data with Looker. More than just a modern business intelligence platform, you can turn to Looker for self-service or governed BI, build your own custom applications with trusted metrics, or even bring Looker modeling to your existing BI environment.
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NGINX Ingress Controller
NGINX Ingress Controller for Kubernetes
... an upstream configuration (i.e Endpoints change when you deploy your app). We use lua-nginx-module to achieve this. Check below to learn more about how it's done. Usually, a Kubernetes Controller utilizes the synchronization loop pattern to check if the desired state in the controller is updated or a change is required. To this purpose, we need to build a model using different objects from the cluster, in particular (in no special order) Ingresses, Services, Endpoints, Secrets, and Configmaps. -
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Zephyr Project
Scalable, optimized, secure RTOS for multiple hardware architectures
The Zephyr Project is a new generation real-time operating system (RTOS) that supports multiple hardware architectures. It is based on a small-footprint kernel specially designed for use on resource-constrained and embedded systems. The Zephyr OS can be used for a wide range of applications: from simple embedded environmental sensors and LED wearables to sophisticated embedded controllers, smart watches, and IoT wireless applications. -
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Laravel Scout
Provides a driver based solution to searching your Eloquent models
Laravel Scout provides a simple, driver-based solution for adding full-text search to your Eloquent models. Once Scout is installed and configured, it will automatically sync your model changes to your search indexes. -
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ORY Oathkeeper
A cloud native Identity & Access Proxy / API (IAP)
ORY Oathkeeper is an Identity & Access Proxy (IAP) and Access Control Decision API that authorizes HTTP requests based on sets of Access Rules. The BeyondCorp Model is designed by Google and secures applications in Zero-Trust networks. An Identity & Access Proxy is typically deployed in front of (think API Gateway) web-facing applications and is capable of authenticating and optionally authorizing access requests. The Access Control Decision API can be deployed alongside an existing API Gateway... -
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KubiScan
A tool to scan Kubernetes cluster for risky permissions
A tool for scanning Kubernetes cluster for risky permissions in Kubernetes's Role-based access control (RBAC) authorization model. KubiScan helps cluster administrators identify permissions that attackers could potentially exploit to compromise the clusters. This can be especially helpful on large environments where there are lots of permissions that can be challenging to track. KubiScan gathers information about risky roles\clusterroles, rolebindings\clusterrolebindings, users and pods... -
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sealos
Sealos is a production-ready Kubernetes distribution
A Cloud Operating System designed for managing cloud-native applications. Sealos['siːləs] is a cloud operating system distribution based on the Kubernetes kernel. Using the cloud like using a personal computer, reducing the cost of the cloud to 1/10 of the original. -
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Yazi
Blazing fast terminal file manager written in Rust, based on async I/O
... cancellation, and internal task priority assignments. Combined with the pre-loading mechanism, greatly accelerates image and normal file loading. Also integrated with Überzug++, covering almost all terminals. Built on a client-server architecture (no additional server process required), integrated with a Lua-based publish-subscribe model, achieving cross-instance communication and state persistence. Install plugins and themes with one command, keeping them always up to date. -
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QuestDB
An open source SQL database designed to process time series data
... relational and time series joins. QuestDB achieves high performance from a column-oriented storage model, massively-parallelized vector execution, SIMD instructions, and various low-latency techniques. The entire codebase was built from the ground up in Java and C++, with no dependencies, and is 100% free from garbage collection. We provide a live demo provisioned with the latest QuestDB release and sample datasets. -
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NeoPixelBus
An Arduino NeoPixel support library
An Arduino NeoPixel support library supports a large variety of individually addressable LEDs. Please refer to the Wiki for more details. Please use the gitter channel to ask questions as the GitHub Issues feature is used for bug tracking. A library to control one wire protocol RGB and RGBW LEDs like APA106, SK6812, WS2811, WS2812, and WS2813 that are commonly referred to as NeoPixels and two-wire protocol RGB like Lpd8806, APA102, and SK9822 commonly referred to as DotStars. Supports most... -
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ESP32-Paxcounter
Wifi & BLE driven passenger flow metering with cheap ESP32 boards
... don't need to track people-owned devices if you just want to count them. Therefore, Paxcounter does not persistently store MAC addresses and does no kind of fingerprinting the scanned devices. Data can either be stored on a local SD-card, transferred to the cloud using LoRaWAN network or MQTT over TCP/IP, or transmitted to localhost using serial (SPI) interface. LED Matrix display (similar to this 64x16 model, can be ordered on Aliexpress). SD-card (see section SD-card here) for logging pax data. -
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kOps
Production grade K8s installation, upgrades, and management
The easiest way to get a production grade Kubernetes cluster up and running. We like to think of it as kubectl for clusters. kops will not only help you create, destroy, upgrade and maintain production-grade, highly available, Kubernetes cluster, but it will also provision the necessary cloud infrastructure. AWS (Amazon Web Services) is currently officially supported, with DigitalOcean, GCE, and OpenStack in beta support, and Azure and AliCloud in alpha. YAML Manifest Based API... -
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Laravel Cross Eloquent Search
Laravel package to search through multiple Eloquent models
This Laravel package allows you to search through multiple Eloquent models. It supports sorting, pagination, scoped queries, eager load relationships, and searching through single or multiple columns. -
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Laravel Activity Log
Log activity inside your Laravel app
The spatie/laravel-activitylog package provides easy-to-use functions to log the activities of the users of your app. It can also automatically log model events. All activity will be stored in the activity_log table. Open source software is used in all projects we deliver. Laravel, Nginx, Ubuntu are just a few of the free pieces of software we use every single day. For this, we are very grateful. When we feel we have solved a problem in a way that can help other developers, we release our code... -
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SageMaker Experiments Python SDK
Experiment tracking and metric logging for Amazon SageMaker notebooks
... to compare together. Trial: A description of a multi-step machine learning workflow. Each step in the workflow is described by a Trial Component. There is no relationship between Trial Components such as ordering. Trial Component: A description of a single step in a machine learning workflow. For example data cleaning, feature extraction, model training, model evaluation, etc. -
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XiaoMi Pro Hackintosh
XiaoMi NoteBook Pro Hackintosh
XiaoMi NoteBook Pro Hackintosh. If you are using XiaoMi-Pro with 8th Gen CPU, then it's a KBL (Kaby Lake) machine. (Actually Kaby Lake Refresh) If you are using XiaoMi-Pro with 10th Gen CPU, then it's a CML (Comet Lake) machine. -
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Timbre
Pure Clojure/Script logging library
... elision. Useful built-in appenders for out-the-box Clj+Cljs logging. Powerful, easy-to-configure rate limits and async logging. Logs as Clojure values (v3+). Small, simple, cross-platform codebase. 3rd-party tools, appenders, etc. No XML or properties files. A single, simple config map, and you're set. Simple, flexible fn appender model with middleware. Great performance at any scale.