Search Results for "jcaptcha-api" - Page 100

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  • 1
    LinearSolve.jl

    LinearSolve.jl

    High-Performance Unified Interface for Linear Solvers in Julia

    LinearSolve.jl is a unified interface for the linear solving packages of Julia. It interfaces with other packages of the Julia ecosystem to make it easy to test alternative solver packages and pass small types to control algorithm swapping. It also interfaces with the ModelingToolkit.jl world of symbolic modeling to allow for automatically generating high-performance code. Performance is key: the current methods are made to be highly performant on scalar and statically sized small problems,...
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  • 2
    jlrs

    jlrs

    Julia bindings for Rust

    jlrs is a crate that provides access to most of the Julia C API, it can be used to embed Julia in Rust applications and to use functionality it provides when writing ccallable functions in Rust. Currently, this crate is only tested in combination with Julia 1.6 and 1.9, but also supports Julia 1.7, 1.8, and 1.10. Using the current stable version is highly recommended. The minimum supported Rust version is currently 1.65.
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  • 3
    Mixed-effects models in Julia

    Mixed-effects models in Julia

    A Julia package for fitting (statistical) mixed-effects models

    This package defines linear mixed models (LinearMixedModel) and generalized linear mixed models (GeneralizedLinearMixedModel). Users can use the abstraction for statistical model API to build, fit (fit/fit!), and query the fitted models. A mixed-effects model is a statistical model for a response variable as a function of one or more covariates. For a categorical covariate the coefficients associated with the levels of the covariate are sometimes called effects, as in "the effect of using Treatment 1 versus the placebo". ...
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  • 4
    Gridap.jl

    Gridap.jl

    Grid-based approximation of partial differential equations in Julia

    Gridap provides a set of tools for the grid-based approximation of partial differential equations (PDEs) written in the Julia programming language. The library currently supports linear and nonlinear PDE systems for scalar and vector fields, single and multi-field problems, conforming and nonconforming finite element (FE) discretizations, on structured and unstructured meshes of simplices and n-cubes. It also provides methods for time integration. Gridap is extensible and modular. One can...
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  • 5
    Apache Iceberg

    Apache Iceberg

    Apache Iceberg

    Iceberg is a high-performance format for huge analytic tables. Iceberg brings the reliability and simplicity of SQL tables to big data while making it possible for engines like Spark, Trino, Flink, Presto, Hive, and Impala to safely work with the same tables, at the same time. The core Java library that tracks table snapshots and metadata is complete, but still evolving. Current work is focused on adding row-level deletes and upserts, and integration work with new engines like Flink and...
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  • 6
    Mosec

    Mosec

    A high-performance ML model serving framework, offers dynamic batching

    Mosec is a high-performance and flexible model-serving framework for building ML model-enabled backend and microservices. It bridges the gap between any machine learning models you just trained and the efficient online service API.
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  • 7
    RWKV Runner

    RWKV Runner

    A RWKV management and startup tool, full automation, only 8MB

    RWKV (pronounced as RwaKuv) is an RNN with GPT-level LLM performance, which can also be directly trained like a GPT transformer (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, fast training, saves VRAM, "infinite" ctxlen, and free text embedding. Moreover it's 100% attention-free. Default configs has enabled custom CUDA kernel acceleration, which is much faster and consumes much less VRAM. If you encounter possible compatibility...
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  • 8
    proxy.py

    proxy.py

    Utilize all available CPU cores for accepting new client connections

    proxy.py is made with performance in mind. By default, proxy.py will try to utilize all available CPU cores to it for accepting new client connections. This is achieved by starting AcceptorPool which listens on configured server port. Then, AcceptorPool starts Acceptor processes (--num-acceptors) to accept incoming client connections. Alongside, if --threadless is enabled, ThreadlessPool is setup which starts Threadless processes (--num-workers) to handle the incoming client connections....
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  • 9
    Spring Cloud Kubernetes

    Spring Cloud Kubernetes

    Kubernetes integration with Spring Cloud Discovery Client

    Spring Cloud Kubernetes provides implementations of well known Spring Cloud interfaces allowing developers to build and run Spring Cloud applications on Kubernetes. While this project may be useful to you when building a cloud native application, it is also not a requirement in order to deploy a Spring Boot app on Kubernetes. If you are just getting started in your journey to running your Spring Boot app on Kubernetes you can accomplish a lot with nothing more than a basic Spring Boot app...
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  • 10
    Pow for iOS

    Pow for iOS

    Delightful SwiftUI effects for your app

    ...Pow is a collection of SwiftUI transitions that add that little bit of extra delight to your iOS app. Adding a Pow Transition to your SwiftUI app often only takes a single line of code. Pow leverages the powerful SwiftUI Transition API to deliver smooth animations and seamlessly integrates with system frameworks. Pow is made by a team of highly experienced designers and developers. Whether you are starting a new project or adding to an existing app, Pow is here to make your app look the best it can.
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  • 11
    VectorVein

    VectorVein

    No-code AI workflow

    ...Vector vein is affected LangChain as well as langflow The uncode AI workflow software developed by the inspiration aims to combine the powerful capabilities of large language models and allow users to realize the intelligibility and automation of various daily workflows through simple drag. After the software is opened normally, click on the set button. Please fill in API Key of OpenAI to use the AI function and select the output folder for storing the files during workflow output. If you need to use the function of mail delivery, please fill in the mailbox information on the set page. A workflow represents a work task process that includes input, output, and workflow triggering methods. You can arbitrarily define what the input is, what the output is, and how the input is processed and reaches the output result.
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  • 12
    Wormholy

    Wormholy

    iOS network debugging, like a wizard

    ...Swift & Objective-C compatibility. Also works with external libraries like Alamofire & AFNetworking. Ability to blacklist hosts from being recorded using the array ignoredHosts. Ability to export API requests as Postman collection.
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  • 13
    Stevia

    Stevia

    Concise Autolayout code

    Stevia is part of freshOS iOS toolset. Try it in an example App! Xibs and storyboards are heavy, hard to maintain, and hard to merge. They split the view concept into 2 separate files making debugging a nightmare. There must be a better way. By creating a tool that makes Auto Layout code finally readable by a human being. By coupling it with live code injection such as injectionForXcode we can design views in real-time. View layout becomes fun, concise, maintainable, and dare I say,...
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  • 14
    Files for Meteor.js

    Files for Meteor.js

    Upload files via DDP or HTTP to Meteor server FS

    Stable, fast, robust, and well-maintained Meteor.js package for file management using MongoDB Collection API. What does exactly this means? Calling .insert() method would initiate a file upload and then insert a new record into the collection. Calling .remove() method would erase stored file and records from MongoDB Collection. And so on, no need to learn new APIs. It's flavored with extra low-level methods like .unlink() and .write() for complex integrations.
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  • 15
    HttpClient component

    HttpClient component

    Provides powerful methods to fetch HTTP resources synchronously

    ...They can be defined globally in the configuration (to apply it to all requests) and to each request (which overrides any global configuration). It's common that some of the HTTP client options depend on the URL of the request (e.g. you must set some headers when making requests to GitHub API but not for other hosts). If that's your case, the component provides scoped clients (using ScopingHttpClient) to autoconfigure the HTTP client based on the requested URL.
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  • 16
    Restbed

    Restbed

    Restbed framework brings asynchronous RESTful functionality

    ...A technique allowing multiple HTTP requests to be sent on a single TCP connection without waiting for the corresponding responses. Asynchronous single or multi-threaded architecture, capable of addressing the C10K problem. High-quality documentation covering the architecture and API. Filter incoming HTTP requests by headers. Customize how and where log entries are created. Give a resource multiple paths for improved readability.
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  • 17
    Reactor Netty

    Reactor Netty

    TCP/HTTP/UDP/QUIC client/server with Reactor over Netty

    ...Reactor is a fourth-generation reactive library, based on the Reactive Streams specification, for building non-blocking applications on the JVM. Reactor is fully non-blocking and provides efficient demand management. It directly interacts with Java's functional API, CompletableFuture, Stream, and Duration. Reactor offers two reactive and composable APIs, Flux [N] and Mono [0|1], which extensively implement Reactive Extensions. Well-suited for a microservices architecture, Reactor offers backpressure-ready network engines for HTTP (including Websockets), TCP, and UDP.
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  • 18
    crawlee

    crawlee

    A web scraping and browser automation library for Node.js

    ...Crawlee won't fix broken selectors for you (yet), but it helps you build and maintain your crawlers faster. When a website adds JavaScript rendering, you don't have to rewrite everything, only switch to one of the browser crawlers. When you later find a great API to speed up your crawls, flip the switch back. It keeps your proxies healthy by rotating them smartly with good fingerprints that make your crawlers look human-like. It's not unblockable, but it will save you money in the long run. Crawlee is built by people who scrape for a living and use it every day to scrape millions of pages. ...
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  • 19
    pybaselines

    pybaselines

    Library of algorithms for baseline correction of experimental data

    pybaselines is a Python library that provides many different algorithms for performing baseline correction on data from experimental techniques such as Raman, FTIR, NMR, XRD, XRF, PIXE, etc. The aim of the project is to provide a semi-unified API to allow quick testing and comparing multiple baseline correction algorithms to find the best one for a set of data. pybaselines has 50+ baseline correction algorithms. These include popular algorithms, such as AsLS, airPLS, ModPoly, and SNIP, as well as many lesser-known algorithms. Most algorithms are adapted directly from literature, although there are a few that are unique to pybaselines, such as penalized spline versions of Whittaker-smoothing-based algorithms. ...
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  • 20
    BertViz

    BertViz

    BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

    BertViz is an interactive tool for visualizing attention in Transformer language models such as BERT, GPT2, or T5. It can be run inside a Jupyter or Colab notebook through a simple Python API that supports most Huggingface models. BertViz extends the Tensor2Tensor visualization tool by Llion Jones, providing multiple views that each offer a unique lens into the attention mechanism. The head view visualizes attention for one or more attention heads in the same layer. It is based on the excellent Tensor2Tensor visualization tool. ...
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  • 21
    Python Client For NLP Cloud

    Python Client For NLP Cloud

    NLP Cloud serves high performance pre-trained or custom models for NER

    NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, dialogue summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, blog post generation, source code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API. You can either use the NLP Cloud pre-trained models, fine-tune your own models, or deploy your own models.
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  • 22
    Actix

    Actix

    Actor framework for Rust

    ...It provides several different ways of creating actors; for details, check the docs. You can implement the started, stopping and stop methods of the Actor trait. started gets called when the actor starts and stops when the actor finishes. Check the API docs for more information on the actor lifecycle. An Actor communicates with another Actor by sending messages. In actix all messages are typed. Let's define a simple Sum message with two usize parameters and an actor which will accept this message and return the sum of those two numbers. Here we use the #[actix::main] attribute as an easier way to start our System and drive our main function.
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  • 23
    badaso

    badaso

    Laravel Vue headless CMS / admin panel / dashboard / builder

    ...Simply put, Badaso provides database management features without the need to create migration files using artisan laravel. Badaso provides a crud generator feature to make it easy to create CRUDs without having to code. Simplify API development for users, teams, and enterprises with our open source and professional toolset. Badaso provides media to store files and photos that you have previously saved and of course can be reused anytime. Badaso always monitors all activities carried out and saves all forms of errors so that users can solve problems. Build based on laravel make it secure as laravel.
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  • 24
    Spring for GraphQL

    Spring for GraphQL

    Spring Integration for GraphQL

    Spring for GraphQL provides support for Spring applications built on GraphQL Java. It is a joint collaboration between the GraphQL Java team and Spring engineering. Our shared philosophy is to provide as little opinion as we can while focusing on comprehensive support for a wide range of use cases. Spring for GraphQL is the successor of the GraphQL Java Spring project from the GraphQL Java team. It aims to be the foundation for all Spring, GraphQL applications. The project reached version...
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  • 25
    GraphQL Batch

    GraphQL Batch

    A query batching executor for the graphql gem

    ...Although this library doesn't have a dependency on active record, the examples directory has record and association loaders for active record which handles edge cases like type-casting ids. GraphQL::Batch::Loader#load returns a Promise using the promise.rb gem to provide a promise-based API, so you can transform the query results using .then.
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