Search Results for "awscli-local" - Page 4
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Showing 144 open source projects for "awscli-local"
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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. -
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ComfyUI Experiments
Some experimental custom nodes
...Because it is exploratory, the code may change often, rely on specific versions, or require manual setup, which is why it’s separated from the main ComfyUI codebase. It also serves as an inspiration library: people can study experimental graphs and adapt the logic to their own local workflows. In short, it’s the R&D corner of ComfyUI where new building blocks are tested in the open. -
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LangChain Apps on Production with Jina
Langchain Apps on Production with Jina & FastAPI
...LangChain is another open-source framework for building applications powered by LLMs. long-chain-serve helps you deploy your LangChain apps on Jina AI Cloud in a matter of seconds. You can benefit from the scalability and serverless architecture of the cloud without sacrificing the ease and convenience of local development. And if you prefer, you can also deploy your LangChain apps on your own infrastructure to ensure data privacy. With long chain-serve, you can craft REST/WebSocket APIs, spin up LLM-powered conversational Slack bots, or wrap your LangChain apps into FastAPI packages on the cloud or on-premises. -
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PySnooper
Never use print for debugging again
PySnooper is a simple yet powerful Python debugging utility. Just add a @pysnooper.snoop() decorator, and it logs line-by-line execution with timestamps and local variable tracking—saving you from inserting print() statements manually. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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hloc
Visual localization made easy with hloc
This is hloc, a modular toolbox for state-of-the-art 6-DoF visual localization. It implements Hierarchical Localization, leveraging image retrieval and feature matching, and is fast, accurate, and scalable. This codebase won the indoor/outdoor localization challenges at CVPR 2020 and ECCV 2020, in combination with SuperGlue, our graph neural network for feature matching. We provide step-by-step guides to localize with Aachen, InLoc, and to generate reference poses for your own data using... -
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MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack
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Neomake
Asynchronous linting and make framework for Neovim/Vim
Neomake is an asynchronous linting and build framework for Vim and Neovim that predates and inspires newer tooling in this space. It runs “makers” (linters, compilers, format checkers, test commands) in the background and surfaces results as signs, virtual text, or via quickfix/location lists. The system is highly configurable: you can define per-filetype makers, chain multiple tools, and control when they run (on save, on write, on cursor hold, or manually). Run several makers concurrently... -
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Python script to get the last 5 minutes of accepted traffic logs via the trendmicro email security API and send them to a syslog server Script Python para obtener los ultimos 5 minutos de logs de trafico aceptado por medio de la API de trendmicro email security y enviarlos a un servidor de syslog Crontab */5 * * * * /usr/local/bin/python3.9 /home/user/tmes-syslog_0.02.py 2>&1 > /home/user/errores.txt ------------ # API documentation # Getting Started with Trend Micro Email Security APIs # https://docs.trendmicro.com/en-us/enterprise/trend-micro-email-security-rest-api-online-help/getting-started-with.aspx # Obtaining the API Key # https://docs.trendmicro.com/en-us/enterprise/trend-micro-email-security-rest-api-online-help/getting-started-with/obtaining-the-api-ke.aspx # List Mail Tracking Logs # https://docs.trendmicro.com/en-us/enterprise/trend-micro-email-security-rest-api-online-help/supported-apis/logs/list-mail-tracking-l.aspx
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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. -
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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Gib
Gib Is the Best agnostic package manager extender for Unix-like OS's.
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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... -
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Amazon Braket Ocean Plugin
A Python plugin for using Ocean with Amazon Braket
The Amazon Braket Ocean Plugin is an open-source library in Python that provides a framework that you can use to interact with Ocean tools on top of Amazon Braket. Before you begin working with the Amazon Braket Ocean Plugin, make sure that you've installed or configured the following prerequisites. Download and install Python 3.7.2 or greater from Python.org. If you are using Windows, choose Add Python to environment variables before you begin the installation. Make sure that your AWS... -
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PowerfulSeal
A powerful testing tool for Kubernetes clusters.
PowerfulSeal injects failure into your Kubernetes clusters so that you can detect problems as early as possible. It allows for writing scenarios describing complete chaos experiments. -
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EH Forwarder Bot
An extensible message tunneling chat bot framework
Codename EH Forwarder Bot (EFB) is an extensible message tunneling chat bot framework that delivers messages to and from multiple platforms and remotely controls your accounts. Since the majority of our channels are using polling for message retrieval, a stable internet connection is necessary for channels to run smoothly. An unstable connection may lead to slow response, or loss of messages. EFB uses a *nix user configuration style, which is described in details in Directories. In short, if... -
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kamiFaka
kamiFaka
...A variety of theme modes [list, card, grid]. Support custom background, logo, contact information, etc. Support hot backup, one-click cloud backup, one-click export backup file to local. Detachable database, compatible with Mysql, PostgreSQL and Sqlite. -
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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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PlaystoreDownloader
A command line tool to download Android applications
...There are two ways of getting a working copy of PlaystoreDownloader on your own computer: either by using Docker or by using directly the source code in a Python 3 environment. In both cases, the first thing to do is to get a local copy of this repository, so open up a terminal in the directory where you want to save the project and clone the repository. Apart from valid Google Play Store credentials, the only requirement of this project is a working Python 3 (at least 3.7) installation and pipenv (for dependency management). -
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AWS IoT Greengrass Core SDK
SDK to use with functions running on Greengrass Core using Python
The AWS IoT Greengrass Core SDK is meant to be used by AWS Lambda functions running on an AWS IoT Greengrass Core. It will enable Lambda functions to invoke other Lambda functions deployed to the Greengrass Core, publish messages to the Greengrass Core and work with the local Shadow service. To use the AWS IoT Greengrass Core SDK, you must first import the AWS IoT Greengrass Core SDK in your Lambda function as you would with any other external libraries. You then need to create a client for ‘iot-data’ or ‘lambda’. Use ‘iot-data’ if you wish to publish messages to the local Greengrass Core and interact with the local Shadow service. ... -
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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.... -
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Chisel
A collection of LLDB commands to assist debugging iOS apps
Chisel is a collection of LLDB commands designed to assist you in the process of debugging iOS apps. All of the commands provided by Chisel come with verbose help. Be sure to read it when in doubt! You can add local, custom commands. There's also builtin support to make it super easy to specify the arguments and options that a command takes. See the border and pinvocation commands for example use. Developing commands, whether for local use or contributing to Chisel directly, both follow the same workflow. You can also inspect a specific command by passing its name as an argument to the help command (as with all other LLDB commands). ... -
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MMdnn
Tools to help users inter-operate among deep learning frameworks
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML. MMdnn is a comprehensive and cross-framework tool to convert, visualize and diagnose deep learning (DL) models. The "MM" stands for model management, and "dnn" is the acronym of deep neural network. We implement a universal converter to convert DL models between frameworks,... -
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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. ... -
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gitfs
Version controlled file system
...A user can mount any repository and all their changes will be automatically converted into commits. gitfs will also expose the history of the branch you're currently working on by simulating snapshots of every commit. gitfs is useful in places where you want to keep track of all your files, but at the same time you don't have the possibility of organizing everything into commits yourself. A FUSE filesystem for git repositories, with local cache. We provide packages for the major Ubuntu releases and MacOS. -
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WebExKit
An HTML/CSS/JavaScript editor with preview window
The Web Experimentation Kit allows you to enter HTML, CSS and JavaScript and see the results immediately in a browser frame side-by-side with the editor. If you've seen the W3Schools Tryit Editor, JSFiddle or CodePen then this should be familiar to you. The difference between WebExKit and these other applications is that WebExKit is a stand-alone application that runs on your desktop and it allows you to save (and reload) files to your own disk drive. The editor shows a properly formed... -
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setupdocx
Multidocument automation by templates - for sphinx, mkdocs, epydoc ...
...Manages arbitrary document templates for the supported builder, supports multiple builds with arbitrary document layouts, designs, and patched contents. The current release supports the following commands: - build_docx - Enhanced documentation. - install_docx - Installs local documentation. - dist_docx - Documentation packaging. - build_apidoc - Standalone Generator for API Documentation - build_apiref - Standalone Generator for API Reference
