Search Results for "dbmonster-core" - Page 20
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Showing 2010 open source projects for "dbmonster-core"
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GeneticSharp
GeneticSharp is a fast, extensible, multi-platform and multithreading
GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs). Can be used in any kind of .NET 6, .NET Standard and .NET Framework apps, like ASP .NET MVC, ASP .NET Core, Blazor, Web Forms, UWP, Windows Forms, GTK#, Xamarin, MAUI and Unity3D games. GeneticSharp and extensions (TSP, AutoConfig, Bitmap equality, Equality equation, Equation solver, Function builder, etc). A Blazor... -
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Microsoft Authentication Library .NET
Microsoft Authentication Library (MSAL) for .NET
MSAL.NET (Microsoft.Identity.Client) is an authentication library that enables you to acquire tokens from Azure AD, to access protected Web APIs (Microsoft APIs or applications registered with Azure Active Directory). MSAL.NET is available on several .NET platforms (Desktop, Universal Windows Platform, Xamarin Android, Xamarin iOS, Windows 8.1, and .NET Core). The MSAL library for .NET is part of the Microsoft identity platform for developers (formerly named Azure AD) v2.0. It enables you... -
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System.IO.Abstractions
Just like System.Web.Abstractions, but for System.IO. Yay for testable
At the core of the library is IFileSystem and FileSystem. Instead of calling methods like File.ReadAllText directly, use IFileSystem.File.ReadAllText. We have exactly the same API, except that ours is injectable and testable. The library also ships with a series of test helpers to save you from having to mock out every call, for basic scenarios. They are not a complete copy of a real-life file system, but they'll get you most of the way there. We even support casting from the .NET Framework's... -
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ClearScript
A library for adding scripting to .NET applications
ClearScript is a library that makes it easy to add scripting to your .NET applications. It currently supports JavaScript (via V8 and JScript) and VBScript. Simple usage; create a script engine, add your objects and/or types, run scripts. Support for several script engines: Google's V8, Microsoft's JScript and VBScript. Exposed resources require no modification, decoration, or special coding of any kind. Scripts get simple access to most of the features of exposed objects and types. Full... -
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Akavache
An asynchronous, persistent key-value store
..., duplicated code for caching different types of objects. Akavache is a library that makes common app patterns easy, and unifies caching of different object types (i.e. HTTP responses vs. JSON objects vs. images). It's built on a core key-value byte array store (conceptually similar to a Dictionary<string, byte[]>), and on top of that store, extensions are added to support Arbitrary objects via JSON.NET. -
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MoreLINQ
Extensions to LINQ to Objects
MoreLINQ can be used in one of two ways. The simplest is to just import the MoreLinq namespace and all extension methods become instantly available for you to use on the types they extend (typically some instantiation of IEnumerable<T>). In some very rare instances, however, doing so can cause conflicts with other libraries you may be using that incidentally also extend the same type with an identically named method and signature. This happened with MoreLINQ, for example, when Microsoft .NET... -
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Clean Architecture
Clean Architecture Solution Template
A starting point for Clean Architecture with ASP.NET Core. Clean Architecture is just the latest in a series of names for the same loosely-coupled, dependency-inverted architecture. You will also find it named hexagonal, ports-and-adapters, or onion architecture. This architecture is used in the DDD Fundamentals course by Steve Smith and Julie Lerman. Contact Steve's company, NimblePros, for Clean Architecture or DDD training and/or implementation assistance for your team. After installing... -
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Hugo Book Theme
Hugo documentation theme as simple as plain book
... multilingual mode, just follow the configuration guide there. You can also tweak search indexing configuration per language in i18n folder. There are layout partials available for you to easily override components of the theme in layouts/partials/. There are a few features implemented as plugable scss styles. Usually these are features that don't make it to the core but can still be useful. -
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Markdoc
A powerful, flexible, Markdown-based authoring framework.
... to composition and flow control. Maintain full control over your code and content. Markdoc is open-source and fully extensible. Markdoc delivers a powerful, flexible, developer experience (DX) with an equally capable authoring experience (AX). Use Markdoc to create interactive documentation experiences, static content sites, authoring tooling, and more. Markdoc core is a lightweight package containing everything you need to get started. -
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Django Rules
Awesome Django authorization, without the database
rules is a tiny but powerful app providing object-level permissions to Django, without requiring a database. At its core, it is a generic framework for building rule-based systems, similar to decision trees. It can also be used as a standalone library in other contexts and frameworks. Versatile. Decorate callables to build complex graphs of predicates. Predicates can be any type of callable -- simple functions, lambdas, methods, callable class objects, partial functions, decorated functions... -
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Graphene-Django
Integrate GraphQL into your Django project
Graphene-Django is built on top of Graphene. Graphene-Django provides some additional abstractions that make it easy to add GraphQL functionality to your Django project. First time? We recommend you start with the installation guide to get set up and the basic tutorial. It is worth reading the core graphene docs to familiarize yourself with the basic utilities. Graphene Django has a number of additional features that are designed to make working with Django easy. Our primary focus... -
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spaGO
Self-contained Machine Learning and Natural Language Processing lib
A Machine Learning library written in pure Go designed to support relevant neural architectures in Natural Language Processing. Spago is self-contained, in that it uses its own lightweight computational graph both for training and inference, easy to understand from start to finish. The core module of Spago relies only on testify for unit testing. In other words, it has "zero dependencies", and we are committed to keeping it that way as much as possible. Spago uses a multi-module workspace... -
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PennyLane
A cross-platform Python library for differentiable programming
A cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network. Built-in automatic differentiation of quantum circuits, using the near-term quantum devices directly. You can combine multiple quantum devices with classical processing arbitrarily! Support for hybrid quantum and classical models, and compatible with existing machine learning libraries. Quantum circuits can be set up to interface with either NumPy,... -
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Raster Vision
Open source framework for deep learning satellite and aerial imagery
Raster Vision is an open source framework for Python developers building computer vision models on satellite, aerial, and other large imagery sets (including oblique drone imagery). There is built-in support for chip classification, object detection, and semantic segmentation using PyTorch. Raster Vision allows engineers to quickly and repeatably configure pipelines that go through core components of a machine learning workflow: analyzing training data, creating training chips, training models... -
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Lightly
A python library for self-supervised learning on images
A python library for self-supervised learning on images. We, at Lightly, are passionate engineers who want to make deep learning more efficient. That's why - together with our community - we want to popularize the use of self-supervised methods to understand and curate raw image data. Our solution can be applied before any data annotation step and the learned representations can be used to visualize and analyze datasets. This allows selecting the best core set of samples for model training... -
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Haiku
JAX-based neural network library
Haiku is a library built on top of JAX designed to provide simple, composable abstractions for machine learning research. Haiku is a simple neural network library for JAX that enables users to use familiar object-oriented programming models while allowing full access to JAX’s pure function transformations. Haiku is designed to make the common things we do such as managing model parameters and other model state simpler and similar in spirit to the Sonnet library that has been widely used... -
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GluonTS
Probabilistic time series modeling in Python
GluonTS is a Python package for probabilistic time series modeling, focusing on deep learning based models. GluonTS requires Python 3.6 or newer, and the easiest way to install it is via pip. We train a DeepAR-model and make predictions using the simple "airpassengers" dataset. The dataset consists of a single time-series, containing monthly international passengers between the years 1949 and 1960, a total of 144 values (12 years * 12 months). We split the dataset into train and test parts,... -
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MONAI
AI Toolkit for Healthcare Imaging
The MONAI framework is the open-source foundation being created by Project MONAI. MONAI is a freely available, community-supported, PyTorch-based framework for deep learning in healthcare imaging. It provides domain-optimized foundational capabilities for developing healthcare imaging training workflows in a native PyTorch paradigm. Project MONAI also includes MONAI Label, an intelligent open source image labeling and learning tool that helps researchers and clinicians collaborate, create... -
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AWS IoT Fleet Provisioning Library
Client library for using AWS IoT Fleet Provisioning service
The Fleet Provisioning library enables you to provision IoT devices without device certificates using the Fleet Provisioning feature of AWS IoT Core. For an overview of provisioning options available, see Device provisioning. This library has no dependencies on any additional libraries other than the standard C library, and therefore, can be used with any MQTT library. This library is distributed under the MIT Open Source License. This library has gone through code quality checks including... -
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AWS IoT Device Shadow library
Client library for using AWS IoT Shadow service on embedded devices
The AWS IoT Device Shadow library enables you to store and retrieve the current state (the “shadow”) of every registered device. The device’s shadow is a persistent, virtual representation of your device that you can interact with from AWS IoT Core even if the device is offline. The device state is captured as its “shadow” within a JSON document. The device can send commands over MQTT to get, update and delete its latest state as well as receive notifications over MQTT about changes in its... -
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Solid
A declarative JavaScript library for building user interfaces
Solid is a declarative JavaScript library for creating user interfaces. Instead of using a Virtual DOM, it compiles its templates to real DOM nodes and updates them with fine-grained reactions. Declare your state and use it throughout your app, and when a piece of state changes, only the code that depends on it will rerun. Check out our intro video or read on! Fine-grained updates to the real DOM. Declarative data: model your state as a system with reactive primitives. Render-once mental... -
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AWS Secrets Manager Python caching
Enables in-process caching of secrets for Python applications
... to Creating Secrets and follow the instructions on that page. This library makes use of botocore, the low-level core functionality of the boto3 SDK. For more information on boto3 and botocore, please review the AWS SDK for Python and Botocore documentation. -
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AWS X-Ray SDK for Node.js
The official AWS X-Ray SDK for Node.js
... NPM. For local development, install the SDK in your project directory with npm. This repository hosts all the packages we publish, which each have their own README. The Core package README covers all basic use cases of the main X-Ray SDK, including its use in Lambda. -
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AWS Toolkit for JetBrains
A plugin for interacting with AWS from JetBrains IDEs
... to providing code suggestions within your current file, CodeWhisperer can scan your code package to identify security issues. Connect to AWS using static credentials, credential process, or AWS SSO. View and manage AWS resources. Locally test and step-through debug functions in a Lambda-like execution environment provided by the AWS SAM CLI. Supports Java, Python, Node.js, and .NET Core. -
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phantomas
Headless Chromium-based web performance metrics collector
Headless Chromium-based modular web performance metrics collector. Modular approach, each metric is generated by a separate "module". phantomas "core" acts as an events emitter that each module can hook into. In-depth metrics such as: number of events bound via jQuery, calls to window.writeor complex and duplicated CSS selectors (via analyze-css). JSON as an output format. Easy integration with other nodejs projects via CommonJS module (see API docs). Metrics can be emitted from the JavaScript...