Open Source Windows Libraries - Page 50
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AugLy
A data augmentations library for audio, image, text, and video
AugLy is a data augmentations library that currently supports four modalities (audio, image, text & video) and over 100 augmentations. Each modality’s augmentations are contained within its own sub-library. These sub-libraries include both function-based and class-based transforms, composition operators, and have the option to provide metadata about the transform applied, including its intensity. AugLy is a great library to utilize for augmenting your data in model training, or to evaluate the robustness gaps of your model! We designed AugLy to include many specific data augmentations that users perform in real life on internet platforms like Facebook's -- for example making an image into a meme, overlaying text/emojis on images/videos, reposting a screenshot from social media. While AugLy contains more generic data augmentations as well, it will be particularly useful to you if you're working on a problem like copy detection, hate speech detection, etc. -
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Augmentor.jl
A fast image augmentation library in Julia for machine learning
A fast library for increasing the number of training images by applying various transformations. Augmentor is a real-time image augmentation library designed to render the process of artificial dataset enlargement more convenient, less error prone, and easier to reproduce. It offers the user the ability to build a stochastic image-processing pipeline (or simply augmentation pipeline) using image operations as building blocks. In other words, an augmentation pipeline is little more but a sequence of operations for which the parameters can (but need not) be random variables, as the following code snippet demonstrates. -
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Aurora libraries
Building modern, elegant and fast desktop Compose applications
Aurora is a collection of libraries for writing modern, elegant, and fast desktop Compose applications based on the Ephemeral design system. It is built with Java 11 and runs on Java 11 and later. -
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AutoKeras
AutoML library for deep learning
AutoKeras: An AutoML system based on Keras. It is developed by DATA Lab at Texas A&M University. The goal of AutoKeras is to make machine learning accessible to everyone. AutoKeras only support Python 3. If you followed previous steps to use virtualenv to install tensorflow, you can just activate the virtualenv. Currently, AutoKeras is only compatible with Python >= 3.7 and TensorFlow >= 2.8.0. AutoKeras supports several tasks with extremely simple interface. AutoKeras would search for the best detailed configuration for you. Moreover, you can override the base classes to create your own block. -
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Awesome AWS
A curated list of awesome Amazon Web Services libraries
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome. Each repo listed meets at least one of the following requirements, community-authored repo with 100+ stars, community-vouched repo with < 100 stars, official repo from aws or awslabs. 100+ stars for community repos is not a strict requirement, it only serves as a guideline for the initial compilation. If you can vouch for the awesomeness of a repo with < 100 stars and you can explain why it should be listed, please submit a pull request. Pull requests might be left open for a period of time to let the community chime in and vouch for it. An official repo from aws or awslabs can be removed if the community wishes. The Python module awesome-aws regularly scans repos on Awesome AWS to maintain the accuracy of the Fiery Meter of AWSome. -
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Awesome Docker
A curated list of Docker resources and projects
Docker is an open platform for developers and sysadmins to build, ship, and run distributed applications. Consisting of Docker Engine, a portable, lightweight runtime and packaging tool, and Docker Hub, a cloud service for sharing applications and automating workflows, Docker enables apps to be quickly assembled from components and eliminates the friction between development, QA, and production environments. As a result, IT can ship faster and run the same app, unchanged, on laptops, data center VMs, and any cloud. -
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Awesome Fraud Detection Research Papers
A curated list of data mining papers about fraud detection
A curated list of data mining papers about fraud detection from several conferences. -
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Awesome Graph Classification
Graph embedding, classification and representation learning papers
A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations. Relevant graph classification benchmark datasets are available. Similar collections about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations. -
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Awesome KMM
An awesome list that curates the best KMM libraries, tools and more
Kotlin Multiplatform Mobile (KMM) is an SDK designed to simplify creating cross-platform mobile applications. With the help of KMM, you can share common code between iOS and Android apps and write platform-specific code only where it’s necessary. For example, to implement a native UI or when working with platform-specific APIs. -
Build apps or websites quickly on a fully managed platformRun frontend and backend services, batch jobs, host LLMs, and queue processing workloads without the need to manage infrastructure.
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Awesome Kotlin Multiplatform
An awesome list that curates the best Kotlin Multiplatform libraries,
Kotlin Multiplatform technology simplifies the development of cross-platform projects. It reduces time spent writing and maintaining the same code for different platforms while retaining the flexibility and benefits of native programming. This list contains libraries which support iOS and Android targets in first place. -
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Awesome Print
Pretty print your Ruby objects with style
Awesome Print is a Ruby library that pretty prints Ruby objects in full color exposing their internal structure with proper indentation. Rails ActiveRecord objects and usage within Rails templates are supported via included mixins. -
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Awesome Recurrent Neural Networks
A curated list of resources dedicated to RNN
A curated list of resources dedicated to recurrent neural networks (closely related to deep learning). Provides a wide range of works and resources such as a Recurrent Neural Network Tutorial, a Sequence-to-Sequence Model Tutorial, Tutorials by nlintz, Notebook examples by aymericdamien, Scikit Flow (skflow) - Simplified Scikit-learn like Interface for TensorFlow, Keras (Tensorflow / Theano)-based modular deep learning library similar to Torch, char-rnn-tensorflow by sherjilozair, char-rnn in tensorflow, and much more. Codes, theory, applications, and datasets about natural language processing, robotics, computer vision, and much more. -
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Axon
Nx-powered Neural Networks
Nx-powered Neural Networks for Elixir. Axon consists of the following components. Functional API – A low-level API of numerical definitions (defn) of which all other APIs build on. Model Creation API – A high-level model creation API which manages model initialization and application. Optimization API – An API for creating and using first-order optimization techniques based on the Optax library. Training API – An API for quickly training models, inspired by PyTorch Ignite. Axon provides abstractions that enable easy integration while maintaining a level of separation between each component. You should be able to use any of the APIs without dependencies on others. By decoupling the APIs, Axon gives you full control over each aspect of creating and training a neural network. At the lowest-level, Axon consists of a number of modules with functional implementations of common methods in deep learning. -
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Azure Data SQL Samples
Official Microsoft repository containing code samples for SQL Server
This GitHub repository contains code samples that demonstrate how to use Microsoft's Azure Data products including SQL Server, Azure SQL Database, Azure Synapse, and Azure SQL Edge. Each sample includes a README file that explains how to run and use the sample. Note that certain features like In-Memory OLTP are edition specific for SQL Server and would be possible to implement if the edition which supports that feature is being used to run the sample. Releases allow you to conveniently download sample databases or applications without the need to build them from source code. Wide World Importers sample database v1.0 is the main sample for SQL Server 2016 and Azure SQL Database. It contains both an OLTP and an OLAP database. In-Memory OLTP Performance Demo v1.0 illustrates the performance benefits of the In-Memory OLTP technology built into SQL Server and Azure SQL Database. IoT Smart Grid sample v1.0 illustrates how SQL Server can be leveraged to ingest data from IoT devices. -
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BFKit
BFKit is a collection of useful classes and categories to develop Apps
BFKit is a comprehensive library of tools and utilities for iOS development, written in Swift and Objective-C. It offers a wide collection of extensions, helpers, and functionalities that streamline app development and reduce boilerplate code. -
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BFKit-Swift
BFKit-Swift is a collection of useful classes, structs and extensions
BFKit-Swift is a collection of useful classes, structs, and extensions to develop Apps faster. For example, you can use every iOS font with just an enum! It also adds some useful functions with Custom classes and extends Foundation, UIKit, AppKit and WatchKit classes. -
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BMC
Notes on Scientific Computing for Biomechanics
This repository is a collection of lecture notes and code on scientific computing and data analysis for Biomechanics and Motor Control. -
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BSMNT Scrollytelling
A library for creating Scrollytelling animations
BSMNT Scrollytelling is a library for creating Scrollytelling animations. It's powered by GSAP ScrollTrigger, but abstracts away some things to make it work better with React. At the basement, we've built a bunch of websites that use scroll animations. Over the years, we faced some issues that required solutions that we copy-passed throughout different projects. We decided to build a library to share how we build these with the world. -
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Bamboo
Testable, composable, and adapter based Elixir email library
Bamboo is part of the thoughtbot Elixir family of projects. Flexible and easy-to-use email for Elixir. Built-in support for popular mail delivery services. Bamboo ships with adapters for several popular mail delivery services, including Mandrill, Mailgun, and SendGrid. It's also quite easy to write your own delivery adapter if your platform isn't yet supported. Deliver emails in the background. Most of the time you don't want or need to wait for the email to send. Bamboo makes it easy with Mailer.deliver_later. A functional approach to mail delivery. Emails are created, manipulated, and sent using plain functions. This makes composition a breeze and fits naturally into your existing Elixir app. Unit test with ease. Bamboo separates email creation and email delivery allowing you to test by asserting against email fields without the need for special functions. Dead-simple integration tests. Bamboo provides helper functions to make integration testing easy and robust. -
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Bash Infinity
A modern standard library / framework / boilerplate for Bash
Bash Infinity is a standard library and a boilerplate framework for writing tools using bash. It's modular and lightweight while managing to implement some concepts from C#, Java or JavaScript into bash. The Infinity Framework is also plug & play: include it at the beginning of your existing script to import any of the individual features such as error handling, and start using other features gradually. The aim of Bash Infinity is to maximize the readability of bash scripts, minimize the amount of code repeat and create a central repository for a well-written, and a well-tested standard library for bash. Bash Infinity transforms the often obfuscated "bash syntax" to a cleaner, more modern syntax. Some components are more sturdy than others, and as-it-stands the framework lacks good test coverage (we need your help!). -
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Basic Table
Basic Table jQuery or Vanilla JS plugin for simple responsive tables
A simple lightweight jQuery or Vanilla JS responsive table library. A library to set up tables for a basic responsive table structure. This is to assist in those situations where the users don't necessarily have access or capacity to modify HTML such as input from a WYSIWYG. -
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Basscss
Low-level CSS Toolkit, the original Functional/Utility/Atomic CSS
Using clear, humanized naming conventions, Basscss is quick to internalize and easy to reason about while speeding up development time with more scalable, more readable code. Things behave exactly as expected with immutable utilities and styles that do one thing well to help prevent common pitfalls with CSS. Reusable, interoperable styles work like building blocks to lay the foundation for any stylesheet and can be mixed and matched in any number of combinations. Basscss strikes a balance between consistency and flexibility to allow for rapid prototyping and quick iterative changes when designing in the browser. Basscss provides lightweight, performant styles and flexible utilities to design for any device and to help reduce boilerplate in stylesheets. Modular and customizable typography and layout styles don’t dictate what things should look like and play well with other stylesheets and frameworks. -
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Beam
A type-safe, non-TH Haskell SQL library and ORM
Beam is a Haskell interface to relational databases. Beam uses the Haskell type system to verify that queries are type-safe before sending them to the database server. Queries are written in a straightforward, natural monadic syntax. Combinators are provided for all standard SQL92 features, and a significant subset of SQL99, SQL2003, and SQL2008 features. Beam is standards-compliant but not naive. We recognize that different database backends provide different guarantees, syntaxes, and advantages. To reflect this, Beam maintains a modular design. While the core package provides standard functionality, Beam is split up into a variety of backends which provide a means to interface Beam's data query and update DSLs with particular RDBMS backends. Backends can be written and maintained independently of this repository. For example, the beam-MySQL and beam-firebird backends are packaged independently. -
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Best-of Python
A ranked list of awesome Python open-source libraries
This curated list contains 390 awesome open-source projects with a total of 1.4M stars grouped into 28 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an issue, submit a pull request, or directly edit the projects.yaml. Contributions are very welcome! Ranked list of awesome python libraries for web development. Correctly generate plurals, ordinals, indefinite articles; convert numbers. Libraries for loading, collecting, and extracting data from a variety of data sources and formats. Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks. -
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Best-of Web Development with Python
A ranked list of awesome python libraries for web development
This curated list contains 570 awesome open-source projects with a total of 2.4M stars grouped into 26 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from Github and different package managers. If you like to add or update projects, feel free to open an issue, submit a pull request, or directly edit the projects.yaml. Contributions are very welcome! A ranked list of awesome python libraries for web development. Updated weekly.
