Search Results for "awscli-local" - Page 5
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Showing 162 open source projects for "awscli-local"
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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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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1
ui-lottie
NativeScript plugin to expose Airbnb Lottie
ui-lottie is a NativeScript plugin for rendering Lottie animations, a library for rendering vector-based animations with minimal performance impact. -
2
Actions-OpenWrt
A template for building OpenWrt with GitHub Actions
...The workflow compiles firmware online and makes the resulting binaries available as downloadable artifacts. It is especially useful for users who want custom router firmware but do not want to maintain a local build environment. The repository is archived and read-only, so it should be treated as a reference template rather than an actively updated project. Overall, it demonstrates a simple path for automating OpenWrt builds with GitHub Actions. -
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gokv
Simple key-value store abstraction and implementations for Go
Simple key-value store abstraction and implementations for Go. Redis, Consul, etcd, bbolt, BadgerDB, LevelDB, Memcached, DynamoDB, S3, PostgreSQL, MongoDB, CockroachDB, and many more. There are detailed descriptions of the methods in the docs and in the code. You should read them if you plan to write your own gokv.Store implementation or if you create a Go package with a method that takes a gokv.Store as a parameter, so you know exactly what happens in the background. -
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Neural Network Intelligence
AutoML toolkit for automate machine learning lifecycle
...The tool manages automated machine learning (AutoML) experiments, dispatches and runs experiments' trial jobs generated by tuning algorithms to search the best neural architecture and/or hyper-parameters in different training environments like Local Machine, Remote Servers, OpenPAI, Kubeflow, FrameworkController on K8S (AKS etc.) DLWorkspace (aka. DLTS) AML (Azure Machine Learning) and other cloud options. NNI provides CommandLine Tool as well as an user friendly WebUI to manage training experiements. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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kscript
Scripting enhancements for Kotlin
Enhanced scripting support for Kotlin on *nix-based and Windows systems. Kotlin has some built-in support for scripting already, but it is not yet feature-rich enough to be a viable alternative in the shell. -
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CPP-Google-Image-Fetcher
This is a C++ library that allows you to search for images on Google !
My Image Fetcher :: CPP-Google-Image-Fetcher is a C++ library that allows you to search for images on Google and download them to your local system. It provides a simple API for querying Google's Custom Search API and saving image results. -
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Penetration Testing Tools
A collection of more than 170+ tools, scripts, cheatsheets
Penetration-Testing-Tools is a curated collection of tools, scripts, cheatsheets and reference materials assembled to help security researchers, red-teamers, and students perform hands-on penetration testing across multiple domains. The repository groups resources by discipline — reconnaissance, web application testing, network exploitation, privilege escalation, post-exploitation and reporting — so users can quickly find relevant utilities and walkthroughs. Many entries include short usage... -
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jCIFS Filesystem
Wraps jCIFS as a java filesystem
...You can get access to a cifs/smb file simply by using Paths.get(new URI("smb://hostname/share/filename")) and manipulate the returned Path with the utility class java.nio.file.Files. So you can use one API to access local and remote files with your java application. The jCIFS config can be set with the newFileSystem(URI uri, Map<String, ?> env) method of the CIFSFileSystemProvider class. -
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Devilbox
A modern Docker LAMP stack and MEAN stack for local development
Devilbox is a modern and flexible LAMP and MEAN stack environment powered by Docker. It provides a pre-configured, customizable setup for web development, supporting a wide range of services like Apache, Nginx, PHP, MySQL, and MongoDB. Devilbox is designed to be a one-stop solution for developers who need a consistent and portable development environment, eliminating the need to manually configure servers. -
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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Name-That-Hash
Identify MD5, SHA256 and 300+ other hashes
...Name-That-Hash is accessible via a Python CLI (nth) and also exposes an API and JSON output, making it easy to plug into other tools or workflows, and there is also a web app that requires no local installation. -
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proxysocket
Portable C library for proxy client support using standard SOCKETs.
.... - Supports daisy-chaining multiple proxies. - Can also be used for direct connections (without proxy) optionally binding to a local address and/or port. -
12
CommandlineConfig
A library for users to write configurations in Python
CommandlineConfig is a lightweight Python library designed to simplify managing configuration parameters for experiments and applications, especially in research workflows that require frequent tweaking of hyperparameters. It lets you define configuration in familiar Python dictionaries or JSON files and then access nested parameters via dot notation in code, improving readability and reducing boilerplate. One of its core strengths is the ability to override configuration values directly... -
13
krangl
krangl is a {K}otlin DSL for data w{rangl}ing
krangl is a {K}otlin library for data w{rangl}ing. Implementing a grammar of data manipulation using a modern functional-style API, allows filtering, transforming, aggregating, and reshaping tabular data. krangl is heavily inspired by the amazing dplyr for R. krangl is written in Kotlin, excels in Kotlin, but emphasizes as well on good java-interop. It is mimicking the API of dplyr, while carefully adding more typed constructs where possible. -
14
react-pxq
Implement modern front-end architecture with idiomatic React patterns
react-pxq is a React-based single-page application that demonstrates how to implement modern front-end architecture with idiomatic React patterns. It shows how to break a product into cohesive components, manage global and local state, and coordinate data-fetching with UI updates. Routing is used to separate feature areas, while shared UI primitives keep styling and behavior consistent across screens. The code emphasizes ES6+ conventions, async flows, and clean separation of concerns to keep maintenance approachable. It also spotlights responsive layout techniques and interaction states that make the app feel polished on mobile and desktop. ... -
15
libpostal
A C library for parsing/normalizing street addresses around the world
...Addresses and the locations they represent are essential for any application dealing with maps (place search, transportation, on-demand/delivery services, check-ins, reviews). Yet even the simplest addresses are packed with local conventions, abbreviations and context, making them difficult to index/query effectively with traditional full-text search engines. This library helps convert the free-form addresses that humans use into clean normalized forms suitable for machine comparison and full-text indexing. Though libpostal is not itself a full geocoder, it can be used as a preprocessing step to make any geocoding application smarter, and simpler. -
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textures.js
SVG patterns for data visualization
...Made on top of d3.js, it is designed for data visualization. Import textures.js from NPM. You can also use textures.js in your HTML page with a <script> tag by downloading textures.js to a local folder or by using the Unpkg CDN network. Textures.js can be used alongside d3. -
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Big List of Naughty Strings
List of strings which have a high probability of causing issues
...By throwing these strings at forms, APIs, databases, and UIs, teams can discover encoding bugs, sanitizer gaps, rendering issues, and security oversights early. The list is language-agnostic and repository-friendly, meaning you can consume it from CI pipelines or local scripts with minimal setup. Because it’s crowdsourced, it reflects real issues practitioners have faced in production, not just theoretical cases. Using the list regularly helps harden applications against the fragile edges of text processing and user input. -
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Lucid
A collection of infrastructure and tools for research
...The following notebooks run right from your browser, thanks to Collaboratory. It's a Jupyter notebook environment that requires no setup to use and runs entirely in the cloud. You can run the notebooks on your local machine, too. Clone the repository and find them in the notebooks subfolder. You will need to run a local instance of the Jupyter notebook environment to execute them. Feature visualization answers questions about what a network, or parts of a network, are looking for by generating examples. -
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Darkmode.js
Add a dark-mode / night-mode to your website in a few seconds
Darkmode.js is a lightweight JavaScript library that enables websites to easily implement a dark mode toggle. It provides a floating switch for users to switch between light and dark themes without requiring major modifications to the website’s codebase. -
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SageMaker MXNet Training Toolkit
Toolkit for running MXNet training scripts on SageMaker
SageMaker MXNet Training Toolkit is an open-source library for using MXNet to train models on Amazon SageMaker. For inference, see SageMaker MXNet Inference Toolkit. For the Dockerfiles used for building SageMaker MXNet Containers, see AWS Deep Learning Containers. For information on running MXNet jobs on Amazon SageMaker, please refer to the SageMaker Python SDK documentation. With the SDK, you can train and deploy models using popular deep learning frameworks Apache MXNet and TensorFlow.... -
21
PulledPork
Pulled Pork for Snort and Suricata rule management (from Google code)
PulledPork is a Perl-based script that automates the management of Snort and Suricata IDS/IPS rulesets. It streamlines the process of downloading, parsing, and updating rules, ensuring that intrusion detection systems remain current and effective. -
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PowerShellForGitHub
Microsoft PowerShell wrapper for GitHub API
PowerShellForGitHub is a PowerShell module that wraps the GitHub API, allowing administrators and developers to script common GitHub operations directly from the shell. It provides cmdlets for repository management, issue and pull request automation, organization and team administration, and policy tasks such as branch protection or collaborator invites. The module handles authentication flows, pagination, and rate-limit concerns transparently so scripts can focus on business logic like... -
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SwiftRichString
Elegant Attributed String composition in Swift sauce
...Styles can also be applied through regular expressions, globally registered collections, or Interface Builder properties. The library supports Dynamic Type, text transformations, and composition of local or remote images inside attributed strings. It works across iOS, macOS, tvOS, and watchOS without external runtime dependencies. -
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PerfKit Benchmarker
PerfKit Benchmarker (PKB) contains a set of benchmarks
...It allows users to evaluate metrics such as latency, throughput, provisioning time, and system performance using a standardized set of benchmarks. The tool supports a wide range of environments, including major cloud platforms, Kubernetes clusters, and even local hardware, making it highly versatile for performance analysis. It simplifies the process of running complex benchmarks by providing unified command-line workflows that handle resource provisioning, execution, and result collection. The framework includes a comprehensive set of predefined benchmarks covering areas such as compute, storage, networking, and distributed systems workloads. ... -
25
PyCBC
Learn how to use PyCBC to analyze gravitational-wave data
...Many of these tutorials will require you to make edits to config files as part of their exercises. At the moment this isn't easy to do on services like Google Colab. However, you can do them either on your local machine or by using services such as mybinder or sciserver which allow a full juypterhub experience with the ability to view and edit text files. Below we give links to the tutorials that should directly work in Google Colab, however.