#java #barcode #barcode_scanner #face_detection #google #image_labeling #language_identification #ml_kit #mlkit #mlkit_android #object_detection #smart_reply #text_recognition #translation
https://github.com/googlesamples/mlkit
https://github.com/googlesamples/mlkit
GitHub
GitHub - googlesamples/mlkit: A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS
A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS - googlesamples/mlkit
#cplusplus #translation #algorithms #competitive_programming #data_structures #algorithm_competitions #programming_competitions #programming_contests #learning_materials #competitive_programming_contests #algorithms_and_data_structures
https://github.com/e-maxx-eng/e-maxx-eng
https://github.com/e-maxx-eng/e-maxx-eng
GitHub
GitHub - e-maxx-eng/e-maxx-eng: Translation of http://e-maxx.ru into English
Translation of http://e-maxx.ru into English. Contribute to e-maxx-eng/e-maxx-eng development by creating an account on GitHub.
#python #computer_vision #machine_learning #multimodal #natural_language_processing #pretrained_language_model #speech_processing #transformer #translation
https://github.com/microsoft/torchscale
https://github.com/microsoft/torchscale
GitHub
GitHub - microsoft/torchscale: Foundation Architecture for (M)LLMs
Foundation Architecture for (M)LLMs. Contribute to microsoft/torchscale development by creating an account on GitHub.
#python #api #machine #translate #translation #translator
https://github.com/LibreTranslate/LibreTranslate
https://github.com/LibreTranslate/LibreTranslate
GitHub
GitHub - LibreTranslate/LibreTranslate: Free and Open Source Machine Translation API. Self-hosted, offline capable and easy to…
Free and Open Source Machine Translation API. Self-hosted, offline capable and easy to setup. - LibreTranslate/LibreTranslate
#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
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
GitHub
GitHub - ryanhanwu/How-To-Ask-Questions-The-Smart-Way: 本文原文由知名 Hacker Eric S. Raymond 所撰寫,教你如何正確的提出技術問題並獲得你滿意的答案。
本文原文由知名 Hacker Eric S. Raymond 所撰寫,教你如何正確的提出技術問題並獲得你滿意的答案。 - 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
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
GitHub
GitHub - NVIDIA/DeepLearningExamples: State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with…
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure. - 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
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
GitHub
GitHub - immersive-translate/immersive-translate: 沉浸式双语网页翻译扩展 , 支持输入框翻译, 鼠标悬停翻译, PDF, Epub, 字幕文件, TXT 文件翻译 - Immersive Dual Web…
沉浸式双语网页翻译扩展 , 支持输入框翻译, 鼠标悬停翻译, PDF, Epub, 字幕文件, TXT 文件翻译 - Immersive Dual Web Page Translation Extension - GitHub - immersive-translate/immersive-translate: 沉浸式双语网页翻译扩展 , 支持输入框翻译, 鼠标悬停翻译, PDF, Epu...
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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
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
GitHub
GitHub - PDFMathTranslate/PDFMathTranslate: [EMNLP 2025 Demo] PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的…
[EMNLP 2025 Demo] PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译,支持 Google/DeepL/Ollama/OpenAI 等服务,提供 CLI/GUI/MCP/Docker/Zotero - PDFMathTranslate/PDFMathTrans...
#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
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
GitHub
GitHub - go-playground/validator: :100:Go Struct and Field validation, including Cross Field, Cross Struct, Map, Slice and Array…
:100:Go Struct and Field validation, including Cross Field, Cross Struct, Map, Slice and Array diving - go-playground/validator
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