Open Source Linux Libraries - Page 74
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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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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Authen::Simple::WebForm - Perl library for simple authentication against existing web based forms using Authen::Simple framework.
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Authorize.net is by far one of the most used payment gateways around and the AIM (Advanced Integration Method) is one of the most used methods for online shopping. This class will create a wrapper for the AIM method and all of the API call and respons
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Authorize.net-SIM-Wrapper
A simple integration of Authorize.net SIM API in PHP
If you want to integrate Authorize.net SIM API in your web applications, this is the easiest solution for you. I am using an Authorize.net API and written a wrapper class in PHP to make the integration easier for you. -
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AutoDiscovery Library
A tiny library to add auto discovery capability into your applications
A tiny and simple 100% Java library (without any dependency) to easily enable your application to automatically discover the presence of other instances of itself running on the other computers connected to the same LAN network, without having to deal with protocols and network configurations. The protocol used by the library is peer-to-peer, so you don't need a central server. The API is simple, straightforward and there are examples and full documentation to learn it in minutes. -
Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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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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AutoNumeric
Standalone library that provides live as-you-type formatting
AutoNumeric is a standalone library that provides live-as-you-type formatting for international numbers and currencies. All in all, AutoNumeric supports most international numeric formats and currencies including those used in Europe, Asia, and North and South America. AutoNumeric focuses on efficiency and speed making all your input interactions blazing fast. No dependencies are needed to use AutoNumeric. Written in ES6, AutoNumeric uses the latest technologies and is prepared for the future. While the Android platform makes input management hard to play with, AutoNumeric supports it. AutoNumeric strives to be framework-agnostic, which means you can easily integrate it with third-party frameworks. Checkout the official Vue-AutoNumeric component. -
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Autologging
Easier logging and tracing of Python functions and class methods.
Autologging eliminates boilerplate logging setup code and tracing code, and provides a means to separate application logging from program flow and data tracing. Autologging provides two decorators and a custom log level: "autologging.logged" decorates a class to create a __log member. By default, the logger is named for the class's containing module and name (e.g. "my.module.ClassName"). "autologging.traced" decorates a class to provide automatic CALL/RETURN tracing for all class, static, and instance methods, as well as the special __init__ method (by default) "autologging.TRACE" is a custom log level (lower than logging.DEBUG) that is registered with the Python logging module when autologging is imported -
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Avalanche
End-to-End Library for Continual Learning based on PyTorch
Avalanche is an end-to-end Continual Learning library based on Pytorch, born within ContinualAI with the unique goal of providing a shared and collaborative open-source (MIT licensed) codebase for fast prototyping, training and reproducible evaluation of continual learning algorithms. Avalanche can help Continual Learning researchers in several ways. This module maintains a uniform API for data handling: mostly generating a stream of data from one or more datasets. It contains all the major CL benchmarks (similar to what has been done for torchvision). Provides all the necessary utilities concerning model training. This includes simple and efficient ways of implementing new continual learning strategies as well as a set of pre-implemented CL baselines and state-of-the-art algorithms you will be able to use for comparison! Avalanche the first experiment of an End-to-end Library for reproducible continual learning research & development where you can find benchmarks, algorithms, etc. -
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Awake File
Easy file uploads & downloads through HTTP in Java
Awake File is now KRemote Files : http://www.kremote-files.com -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Awake SQL
Remote JDBC access through HTTP
Awake SQL is discontinued and replaced by AceQL. See http://www.aceql.com -
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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 Conformal Prediction
A professionally curated list of awesome Conformal Prediction videos
awesome-conformal-prediction is a curated “awesome list” repository on GitHub collecting high-quality resources related to conformal prediction: tutorials, books, papers, theses, open-source libraries, videos, and other educational material. It is not a software library itself but a directory of resources for those wanting to learn or work with conformal prediction and uncertainty quantification. This exceptional resource is the culmination of my PhD journey in Machine Learning, specializing in Conformal Prediction under the supervision of its creator, Prof. Vladimir Vovk. Since 2015, I have painstakingly gathered these invaluable resources, and upon completing my PhD (my thesis, "Machine Learning for Probabilistic Prediction," can be found in the "Theses" section), I am thrilled to share my expertise with the global machine learning community. Immerse yourself in a professionally curated collection that has been honed through years of dedication and experience. -
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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 English Ebooks
Curated list of freely available English-language magazine issues
awesome-english-ebooks is a curated list that collects high-quality, English-language ebooks across programming, computer science, mathematics, and related technical domains. The repository organizes links by topic and technology so learners can quickly find foundational texts, deep dives, and practical handbooks relevant to their goals. Entries often include notes about edition, format, or prerequisite knowledge, helping readers gauge where a book fits in a learning path. Because it lives in Git, the list benefits from community maintenance: contributors add new titles, replace dead links, and refine categories as the ecosystem shifts. The intent is to lower the barrier to structured self-study by pointing to reputable, long-lived resources rather than ephemeral blog posts. It’s especially useful for students, self-taught developers, and professionals building a reading plan around core concepts and modern practice. -
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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 Free ChatGPT
List of free ChatGPT mirror sites, continuously updated
This is a curated directory of freely accessible ChatGPT-style services and mirror sites that offer AI chatbot interfaces without login or payment requirements. Resources often support multiple models like GPT-4, Claude, Gemini, and more. Data collected from multiple independent sites with descriptions and tags. Includes services with image upload and drawing capabilities. Aggregates free, no-login-required ChatGPT-like web services. Continually updated mirror list to maintain availability. -
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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. -
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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 Network Analysis
A curated list of awesome network analysis resources
awesome-network-analysis is a curated list of resources focused on network and graph analysis, including libraries, frameworks, visualization tools, datasets, and academic papers. It covers multiple programming languages and domains like sociology, biology, and computer science. This repository serves as a central reference for researchers, analysts, and developers working with network data. -
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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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Seeds is a project which implements Data structure and Algorithms! We aim for speed, flexible and the easy to use!
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BAScript
Scripting engine for Pascal compilers.
BAScript is a simple scripting engine written in Object Pascal you can use to add scripting to your Delphi, Lazarus or Free Pascal applications ("host program") to extend their functionality without the need of recompiling them. The virtual machine defines its own language, called the BAScript language. It is a low-level language, somewhat similar to the Assembler language, which is not intended to be easy to program but easy to execute. So it is recommendable to use other higher level languages and translate them into BAScript language. Package includes two compilers that translates from a higher-level language to the BAScript language. You should note that BAScript is intended to be lightweight, so it has not mechanisms to handle complex data structures or large amounts of data or code. On the other hand, it has less need for memory and resources than other scripting interpreters. If you need more power you may try PascalScript. -
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BBSGen is an improved Blum-Blum-Shub pseudorandom number generator. It consists of a C library (libbbsgen) and command-line tool (bbsgen). BBSGen can be used in applications and command-line as secure, unpredictable and strong PRNG.
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...is a PHP written class for developers who want to build their own webinterfaces to administrate their Bad Company 2 gameservers. It's also possible to create webpages just with reading server information so that you can display them on your site.
