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#javascript #rtfm #stfw #translation

To ask smart questions and get helpful answers, follow these key points:

## Before Asking
- Search the forum's old posts, the web, and manuals for answers.
- Check FAQs and try to solve the problem yourself before asking.

## When Asking
- Choose the right forum or mailing list for your question.
- Use a clear and descriptive title for your question.
- Write clearly, correctly, and precisely, avoiding typos and bad grammar.
- Provide detailed information about your problem, including what you've tried and your environment.
- Avoid asking vague or open-ended questions; be specific about what you need.

## Benefits
- By preparing well and asking smart questions, you show respect for the time of the experts you are asking.
- You are more likely to get helpful and detailed answers because you have shown that you are willing to put in the effort to understand the problem.
- Clear and well-structured questions help others who may have the same problem in the future, making the community more efficient.
- Following these guidelines helps you avoid being seen as a "loser" and instead earns you respect and potentially valuable connections within the community.

https://github.com/ryanhanwu/How-To-Ask-Questions-The-Smart-Way
#jupyter_notebook #computer_vision #deep_learning #drug_discovery #forecasting #large_language_models #mxnet #nlp #paddlepaddle #pytorch #recommender_systems #speech_recognition #speech_synthesis #tensorflow #tensorflow2 #translation

This repository provides top-quality deep learning examples that are easy to train and deploy on NVIDIA GPUs. It includes a wide range of models for computer vision, natural language processing, recommender systems, speech to text, and more. These examples are updated monthly and come in Docker containers with the latest NVIDIA software, ensuring the best performance. The models support multiple GPUs and nodes, and some are optimized for Tensor Cores, which can significantly speed up training. This makes it easier for users to achieve high accuracy and performance in their deep learning projects.

https://github.com/NVIDIA/DeepLearningExamples
#other #chrome_extension #safari_extension #translation #userscript

This repository is for releasing the latest versions of the Immersive Translate browser extension and collecting user feedback through Github Issues. It does not include the source code for Immersive Translate, which is not open-source. You can install the extension or view its documentation by clicking the provided links. This tool helps you translate web pages in an immersive way, making it easier to understand content in different languages.

https://github.com/immersive-translate/immersive-translate
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#python #chinese #english #japanese #korean #latex #openai #pdf #pdf2zh #russian #translation

This tool, called PDFMathTranslate, helps you translate scientific PDF papers while keeping formulas, charts, and other important parts intact. You can use it in several ways: through a command line, an interactive user interface, or using Docker. It supports multiple languages and various translation services like Google, DeepL, and more. You can even try it online without installing anything. This makes it easier to understand and work with documents in different languages, saving you time and effort.

https://github.com/Byaidu/PDFMathTranslate
#go #error_handling #translation #validation

The `validator` package helps you check if the data in your Go structs and fields are correct. It has many useful features like validating across different fields and structs, checking complex data types, and handling custom validation rules. You can also customize error messages and use it with popular frameworks like Gin. This makes it easier to ensure your data is valid and consistent, saving you time and reducing errors in your code. To use it, you just need to install the package with `go get` and import it into your project.

https://github.com/go-playground/validator
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#javascript #linux #macos #ocr #pot #pot_app #recognize #tauri #translate #translation #tts #windows

Pot is a cross-platform translation tool that lets you quickly translate text by selecting it and using a shortcut, typing text to translate, or using OCR to translate text from screenshots. It supports many translation engines like OpenAI, Google, DeepL, and more, plus offline options. You can also add plugins to extend its features and use it on Windows, macOS, and Linux. Pot offers an API for integration with other software and works well even on Wayland systems. This makes translating easier, faster, and more flexible, helping you understand and work with multiple languages efficiently.

https://github.com/pot-app/pot-desktop
#python #language_models #linux #machine_translation #nlp #open_source #python #transformers #translation

Argos Translate is a free, open-source tool that lets you translate text offline using your own computer. It works as a Python library, command-line tool, or with a graphical interface, and supports many languages. You can install language packages for direct translations, and it can even translate between languages that don’t have a direct package by using a middle language. This means you can translate more language pairs, though the quality might be a little lower. Argos Translate is fast, private, and does not need an internet connection after setup, making it useful for secure or offline translation needs.

https://github.com/argosopentech/argos-translate