Search Results for "no code"
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Showing 8 open source projects for "no code"
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Cloud tools for web scraping and data extractionAutomate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
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STranslate
A ready-to-go translation ocr tool developed with WPF/WPF
STranslate is a lightweight, open-source machine translation front end that lets users translate text between languages using a variety of supported back-end translation engines or APIs, offering a simple GUI for quick translation tasks without needing to write code or use complex web UIs. The application is designed to be small, cross-platform, and flexible, giving users the ability to type or paste text and receive instant translations while optionally selecting the desired language pairs or switching between multiple service providers. By abstracting backend complexity, STranslate makes it easy for both casual users and developers to get translations in local apps, offline modes (where supported), or even integrate translation workflows into larger projects via plugins or scripting hooks. ... -
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go-i18n
Translate your Go program into multiple languages
go-i18n is a Go package and a command that helps you translate Go programs into multiple languages. Supports pluralized strings for all 200+ languages in the Unicode Common Locale Data Repository (CLDR). Code and tests are automatically generated from CLDR data. Supports strings with named variables using text/template syntax. Supports message files of any format (e.g. JSON, TOML, YAML). Use goi18n extract to extract all i18n.Message struct literals in Go source files to a message file for translation. Create an empty message file for the language that you want to add (e.g. translate.es.toml). ... -
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CycleGAN and pix2pix in PyTorch
Image-to-Image Translation in PyTorch
...This repo gives developers and researchers a convenient, modern (PyTorch-based) platform to train and test these methods — supporting both paired datasets (input to output) and unpaired datasets (domain-to-domain) with minimal changes. The code supports standard training and inference pipelines, and as of recent updates, compatibility with the latest Python and PyTorch versions (e.g. Python 3.11, PyTorch 2.4) as well as support for distributed/multi-GPU training for scalable workflows. Because of its flexibility, users can apply it to many tasks: e.g. style transfer between domains (e.g. season changes, art-to-photo, etc.), mapping sketches/edges to real images, image colorization, day-to-night, photo enhancement, and more. -
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MisakaTranslator
Galgame's Multilingual Real-time Machine Translation Tool
...MisakaPatcher added support for plug-in Chinese patch, so this tool is more suitable for players who like manual translation, and also provides another way for Chinese personnel who have difficulty unpacking packets to release Chinese patch. MisakaHookFinder is suitable for some games where the translator can not be used to directly get the text hook method. Users can search for the hook special code by themselves or directly use it to get the source text. At the same time, it also supports the clipboard to output the original text. -
Smart Business Texting that Generates PipelineTextUs is the leading text messaging service provider for businesses that want to engage in real-time conversations with customers, leads, employees and candidates. Text messaging is one of the most engaging ways to communicate with customers, candidates, employees and leads. 1:1, two-way messaging encourages response and engagement. Text messages help teams get 10x the response rate over phone and email. Business text messaging has become a more viable form of communication than traditional mediums. The TextUs user experience is intentionally designed to resemble the familiar SMS inbox, allowing users to easily manage contacts, conversations, and campaigns. Work right from your desktop with the TextUs web app or use the Chrome extension alongside your ATS or CRM. Leverage the mobile app for on-the-go sending and responding.
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Live Transcribe Speech Engine
Live Transcribe is an Android application
...The engine manages audio front-end processing—such as noise suppression and voice activity detection—before feeding audio into compact, accurate acoustic and language models. Partial hypotheses stream as words are recognized, then stabilize with minimal jitter as confidence increases, which is crucial for usability. The code emphasizes efficient use of CPU and neural accelerators to balance battery life with responsiveness. Deployed in accessibility contexts, it aims for dependable behavior across accents, environments, and intermittent connectivity, with graceful degradation when resources are constrained. -
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GoogleTranslate
GoogleTranslate
...In the new version, no matter which translation engine you use, it will first call the detection language interface of domestic Google Translate. In this case, the traffic of your proxy node is abnormal, which causes the request to be intercepted by Google, and you need to enter the verification code (you can also use + + to open the debugging optiontool commandto Icheck whether the request result is correct), so if this problem occurs, please replace your Proxy node or directly use domestic Google engine without proxy. Enter in the terminal sudo spctl –master-disableand press Enter to confirm. The password is the system power-on password. -
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Speakable Programming for Every Language
Your language to speak with all.
...The alpha IDE is at http://spel.sourceforge.net/src/web/spel.html (wait for it to finish loading before clicking "translate") Since it is early prototype, it's not easy to use, If you are interested, join the mailing list. latest code is in the git repository. -
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This tool is made to score machine translation performance with the TER metric. This code is based on Snover's algorithm.
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