Search Results for "dynamicreports-examples" - Page 40
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Showing 3974 open source projects for "dynamicreports-examples"
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kubectl node-shell
Exec into node via kubectl
Start a root shell in the node's host OS running. Uses an alpine pod with nsenter for Linux nodes and a HostProcess pod with PowerShell for Windows nodes. -
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Samson
Web interface for deployments, with plugin architecture and support
Samson is a web interface for deployments. Live Demo It is currently in maintenance mode (bugfix, but no new features) because we are migrating off it. Create a project and 1 or more stages (staging/production etc), then selects a version and start the deploy. -
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Jetpack Compose Playground
Community-driven collection of Jetpack Compose example code
This is a community-driven collection of Jetpack Compose documentation/examples/tutorials and demos. Jetpack Compose is a modern toolkit for building native Android UI. Jetpack Compose simplifies and accelerates UI development on Android with less code, powerful tools, and intuitive Kotlin APIs. -
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iamjs
Your complete Access Control Library with End-to-end typesafety
iamjs is a fully-featured and typesafe library that makes authorization easy. It is designed to be used in both Node.js and browser environments, and currently supports popular frameworks like express, koa, next.js, and react. -
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Cagebreak
A Wayland Tiling Compositor Inspired by Ratpoison
Cagebreak is a Wayland tiling compositor based on Cage and inspired by Ratpoison. This project provides a successor to Ratpoison for Wayland. However, this is no reimplementation of Ratpoison. Cagebreak supports Arch Linux and uses the libraries and versions from extra and core at the time of release. Most other setups work with a bit of luck. You can build Cagebreak with the meson build system. It requires Wayland, wlroots and xkbcommon to be installed. Note that Cagebreak is developed... -
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CausalityTools.jl
Algorithms for detecting associations, dynamical influences
CausalityTools.jl is a package for quantifying associations and dynamical coupling between datasets, independence testing, and causal inference. Association measures from conventional statistics, information theory, and dynamical systems theory, for example, distance correlation, mutual information, transfer entropy, convergent cross mapping and a lot more. A dedicated API for independence testing, which comes with automatic compatibility with every measure-estimator combination you can... -
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borb
borb is a library for reading, creating and manipulating PDF files
borb is a library for creating and manipulating PDF files in python. borb is a pure python library to read, write, and manipulate PDF documents. It represents a PDF document as a JSON-like data structure of nested lists, dictionaries and primitives (numbers, string, booleans, etc) This is currently a one-man project, so the focus will always be to support those use-cases that are more common in favor of those that are rare. -
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PGFPlotsX.jl
Plots in Julia using the PGFPlots LaTeX package
...It is similar in spirit to the package PGFPlots.jl but it tries to have a very close mapping to the PGFPlots API as well as minimize the number of dependencies. The fact that the syntax is similar to the TeX version means that examples from Stack Overflow and the PGFPlots manual can easily be incorporated in the Julia code. -
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Event Ruler
Java library that allows matching many thousands of Events per second
Event Ruler (called Ruler in the rest of the doc for brevity) is a Java library that allows matching Rules to Events. An event is a list of fields, which may be given as name/value pairs or as a JSON object. A rule associates event field names with lists of possible values. Event Ruler is a Java library that allows matching many thousands of Events per second to any number of expressive and sophisticated rules. -
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Easily store some loose values
Easily store some values
This package makes it easy to store and retrieve some loose values. Stored values are saved as a json file. -
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Dragonfly
A modern replacement for Redis and Memcached
Dragonfly is a drop-in Redis replacement that cuts costs and boosts performance. Designed to fully utilize the power of modern cloud hardware and deliver on the data demands of modern applications, Dragonfly frees developers from the limits of traditional in-memory data stores. The power of modern cloud hardware can never be realized with legacy software. Dragonfly is optimized for modern cloud computing, delivering 25x more throughput and 12x lower snapshotting latency when compared to... -
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TootSDK
Cross-platform Swift library for Mastodon and the fediverse
Cross-platform Swift library for the Mastodon API. TootSDK is a framework for Mastodon and the Fediverse, for iOS. It provides a toolkit for authorizing a user with an instance and interacting with their posts. TootSDK is a community-developed SDK for Mastodon and the Fediverse. It is designed to work with all major servers (Mastodon, Pleroma, PixelFed, etc). You can use TootSDK to build a client for Apple operating systems, or Linux with Vapor. -
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Transformer Engine
A library for accelerating Transformer models on NVIDIA GPUs
Transformer Engine (TE) is a library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper GPUs, to provide better performance with lower memory utilization in both training and inference. TE provides a collection of highly optimized building blocks for popular Transformer architectures and an automatic mixed precision-like API that can be used seamlessly with your framework-specific code. TE also includes a framework-agnostic C++... -
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parallel-ssh
Asynchronous parallel SSH client library.
parallel-ssh is an asynchronous parallel SSH library designed for large-scale automation. It differentiates itself from alternatives, other libraries and higher-level frameworks like Ansible or Chef in several ways. -
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Laravel Webhook Client
Receive webhooks in Laravel apps
A webhook is a way for an app to provide information to another app about a specific event. The way the two apps communicate is with a simple HTTP request. This package allows you to receive webhooks in a Laravel app. It has support for verifying signed calls, storing payloads and processing the payloads in a queued job. -
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Laravel Jetstream
Tailwind scaffolding for the Laravel framework.
Laravel Jetstream is a beautifully designed application scaffolding for Laravel. Jetstream provides the perfect starting point for your next Laravel application and includes login, registration, email verification, two-factor authentication, session management, API support via Laravel Sanctum, and optional team management. Jetstream is designed using Tailwind CSS and offers your choice of Livewire or Inertia scaffolding. -
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Shell-operator
A tool for running event-driven scripts in Kubernetes
Shell-operator is a tool for running event-driven scripts in a Kubernetes cluster. This operator is not an operator for a particular software product such as Prometheus-operator or Kafka-operator. Shell-operator provides an integration layer between Kubernetes cluster events and shell scripts by treating scripts as hooks triggered by events. Think of it as an operator-sdk but for scripts. Shell-operator is used as a base for a more advanced addon-operator that supports Helm charts and value... -
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Kubernetes plugin for Jenkins
Jenkins plugin to run dynamic agents in a Kubernetes environment
Jenkins plugin to run dynamic agents in a Kubernetes cluster. Based on the Scaling Docker with Kubernetes article, automates the scaling of Jenkins agents running in Kubernetes. The plugin creates a Kubernetes Pod for each agent started and stops it after each build. Agents are launched as inbound agents, so it is expected that the container connects automatically to the Jenkins controller. -
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Functors.jl
Parameterise all the things
Functors.jl provides tools to express a powerful design pattern for dealing with large/ nested structures, as in machine learning and optimization. For large machine learning models, it can be cumbersome or inefficient to work with parameters as one big, flat vector, and structs help manage complexity; but it is also desirable to easily operate over all parameters at once, e.g. for changing precision or applying an optimizer update step. -
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Vercel AI SDK
Build AI-powered applications with React, Svelte, Vue, and Solid
The Vercel AI SDK is a library for building AI-powered streaming text and chat UIs. -
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Laravel Honeypot
Preventing spam submitted through forms
When adding a form to a public site, there's a risk that spam bots will try to submit it with fake values. Luckily, the majority of these bots are pretty dumb. You can thwart most of them by adding an invisible field to your form that should never contain a value when submitted. Such a field is called a honeypot. These spam bots will just fill all fields, including the honeypot. When a submission comes in with a filled honeypot field, this package will discard that request. On top of that... -
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Advanced + Agentic RAG Cookbooks
Advanced RAG cookbooks for building accurate LLM applications
...It includes multiple approaches such as hybrid search, contextual compression, and agent-based retrieval strategies, allowing users to experiment and compare methods. It is designed to reduce development time by offering practical examples and references to research papers, making it useful for both learning and production use. Overall, it serves as a hands-on resource for improving LLM outputs using external data sources. -
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PHP Docs Samples
A collection of samples on how to call Google Cloud services
PHP Docs Samples repository is a broad collection of PHP examples that demonstrate how to call and work with Google Cloud services from PHP applications. It is designed as a companion to Google Cloud documentation, giving developers ready-to-run code patterns they can study, adapt, and integrate into their own projects. Rather than focusing on a single product, the repository spans many services and use cases, making it useful for developers who need a central reference point for PHP-based cloud integrations. ... -
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The Hundred-Page Machine Learning Book
The Python code to reproduce illustrations from Machine Learning Book
The Hundred-Page Machine Learning Book is the official companion repository for The Hundred-Page Machine Learning Book written by machine learning researcher Andriy Burkov. The repository contains Python code used to generate the figures, visualizations, and illustrative examples presented in the book. Its purpose is to help readers better understand the concepts explained in the text by allowing them to run and experiment with the underlying code themselves. The book itself provides a concise overview of machine learning theory and practice, covering topics such as supervised learning, unsupervised learning, neural networks, and optimization algorithms. ... -
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AiLearning-Theory-Applying
Quickly get started with AI theory and practical applications
...The repository provides extensive tutorials covering mathematical foundations, machine learning algorithms, deep learning concepts, and modern large language model architectures. It includes well-commented notebooks, datasets, and implementation examples that allow learners to reproduce experiments and understand the inner workings of various algorithms. The project also introduces important concepts such as probability theory, linear algebra, regression models, clustering methods, and neural network architectures. Advanced sections explore modern AI topics including transformers, BERT-based natural language processing systems, and practical competition-style machine learning workflows.
