#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

#kotlin #4x #4x_strategy_game #android #civ #civilization #civilization_v #game #itch #libgdx #strategy_game

Unciv is a free, open-source game that is like Civilization V but works on many devices, including old ones. You can download it for Android, desktop computers, and even Raspberry Pi. It's small, fast, and you can modify it easily. If you want a game that runs well on any device and allows you to make changes, Unciv is a good choice. You can install it from various platforms like Google Play, F-Droid, itch.io, and more. The game is constantly updated with new features and improvements, and you can even help contribute to its development.

https://github.com/yairm210/Unciv

#c_lang #cpp #database #database_management #qt #qt5 #sqlcipher #sqlite #sqlite3_database #wxsqlite3

SQLiteStudio is a free and open-source tool that helps you manage SQLite databases. It works on many different operating systems and is easy to download from various sources, including your OS package manager or the project's GitHub page. Using SQLiteStudio, you can easily create, edit, and manage your SQLite databases without spending any money. This makes it a great tool for anyone who needs to work with SQLite databases, whether you're a beginner or an experienced user.

https://github.com/pawelsalawa/sqlitestudio

#go

This tool, called `geektime-downloader`, helps you download resources from the Geektime website. You can download columns (in PDF, Markdown, or audio), video courses, daily lessons, case studies, and training camp videos. To use it, you need to have Chrome installed and can either install the tool from source or download the binary files. You can log in using your account or cookies. The tool allows you to customize where files are saved and the quality of video downloads. This makes it easier to access your learning materials offline, which is very convenient for studying anytime and anywhere.

https://github.com/nicoxiang/geektime-downloader

#c_lang #ai #big_data #c #cloudberry #data_analysis #data_warehouse #database #distributed_database #greenplum #mpp #olap #postgres #postgresql #sql

Apache Cloudberry is a powerful, open-source database designed for large-scale data processing and analytics. It is built by the creators of Greenplum Database and uses a newer PostgreSQL kernel, making it suitable for data warehouses and AI/ML workloads. You can easily try it out using a Docker-based sandbox or build it from source on Linux or macOS. The community is active, with many channels for support, discussions, and contributions. This means you can get help quickly, share ideas, and even contribute to the project yourself. It's licensed under the Apache License, Version 2.0, making it free to use and modify. Overall, Apache Cloudberry offers advanced database capabilities and a supportive community, which can greatly benefit users needing robust data management solutions.

https://github.com/apache/cloudberry

#python

This project helps you improve language models by fine-tuning them with instructions and public datasets. It provides code for training, evaluating, and optimizing these models using the latest techniques. You can use pre-made scripts to fine-tune models on various datasets and evaluate their performance on different benchmarks. The project also includes tools for preference tuning and reinforcement learning, making your language models more accurate and responsive. By using this project, you can easily update and customize your language models to perform better in different tasks, saving you time and effort in developing advanced AI models.

https://github.com/allenai/open-instruct

#typescript

Ant Design X helps you create AI-driven interfaces easily. It offers flexible and diverse atomic components for building personalized AI interaction interfaces, especially for chatbots. You can quickly connect with AI model services like OpenAI and manage conversation data efficiently. The tool supports TypeScript, advanced theme customization, and comes with rich templates to get you started fast. Installing it is simple using npm, yarn, or pnpm, making it a powerful tool for developers to build robust and interactive AI applications.

https://github.com/ant-design/x

#python #baselines #gsde #gym #machine_learning #openai #python #pytorch #reinforcement_learning #reinforcement_learning_algorithms #robotics #sb3 #sde #stable_baselines #toolbox

Stable Baselines3 (SB3) is a tool that makes it easy to use reinforcement learning algorithms with PyTorch. It provides reliable and tested implementations of these algorithms, which helps researchers and developers build projects quickly. SB3 offers many features like custom environments, policies, and integration with other tools like Tensorboard and Hugging Face. It also has detailed documentation and examples to help beginners get started. This tool assumes you have some knowledge of reinforcement learning but provides resources to learn more. Using SB3 can save time and effort by providing a stable base for your projects, allowing you to focus on new ideas and improvements.

https://github.com/DLR-RM/stable-baselines3

#python #artificial_intelligence #attention_mechanism #computer_vision #image_classification #transformers

This text describes a comprehensive implementation of Vision Transformers (ViT) in PyTorch, offering various models and techniques for image classification. Here’s the key information and benefits**
- The repository provides multiple ViT variants, including the original ViT, Simple ViT, NaViT, Deep ViT, CaiT, Token-to-Token ViT, CCT, Cross ViT, PiT, LeViT, CvT, Twins SVT, RegionViT, CrossFormer, ScalableViT, SepViT, MaxViT, NesT, MobileViT, XCiT, and others.
- Each variant introduces different architectural improvements such as efficient attention mechanisms, multi-scale processing, and innovative embedding techniques.
- The implementation includes pre-trained models and supports various tasks like masked image modeling, distillation, and self-supervised learning.

**Benefits** Users can choose from a wide range of ViT models tailored for different needs, such as efficiency, performance, or specific tasks.
- **Performance** Some models, like NaViT and ScalableViT, are designed to be more efficient in terms of computational resources and training time.
- **Ease of Use** The inclusion of various research ideas and techniques allows users to explore new approaches in vision transformer research.

Overall, this repository offers a powerful toolkit for anyone working with vision transformers, providing both practical solutions and cutting-edge research opportunities.

https://github.com/lucidrains/vit-pytorch

#java #api_library #java #payment #sdk #wechatpay #wechatpay_apiv3 #weixin #weixin_pay

This Java SDK is designed to help you integrate WeChat Pay APIv3 into your application. Here are the key benefits and how to use it The SDK handles automatic signing and verification of HTTP requests, making it easier to secure your transactions.
- **Business Services** The SDK can automatically update WeChat Pay platform certificates to ensure security.
- **Error Handling** The SDK supports encryption and decryption of sensitive data according to WeChat Pay's rules.

### How to Use
- **Installation**wechatpay-java Set up the configuration with your merchant ID, private key path, merchant serial number, and APIv3 key.
```java
Config config =
new RSAAutoCertificateConfig.Builder()
.merchantId(merchantId)
.privateKeyFromPath(privateKeyPath)
.merchantSerialNumber(merchantSerialNumber)
.apiV3Key(apiV3Key)
.build();
```
- **Making Requests**: Use the configured service to make payment requests, such as prepay for Native Pay.
```java
NativePayService service = new NativePayService.Builder().config(config).build();
PrepayRequest request = new PrepayRequest();
// Set request parameters
PrepayResponse response = service.prepay(request);
```

By using this SDK, you can simplify the integration of WeChat Pay into your application while ensuring security and compliance with WeChat Pay's API rules.

https://github.com/wechatpay-apiv3/wechatpay-java

#python #deep_learning #plate_recognition #pytorch #yolov5

This tool helps you detect and recognize car license plates from images and videos. It supports 12 different types of Chinese license plates, including blue, yellow, new energy, police, and more. You can use it with Python and PyTorch, and it provides demos for testing with images and videos. The benefit is that it makes it easy to automate the process of identifying car license plates accurately, which can be useful for various applications such as traffic management or security systems.

https://github.com/we0091234/Chinese_license_plate_detection_recognition

#python #gpt #gpt_4 #gpt4 #graphrag #llm #llms #rag

GraphRAG is a tool that helps extract useful, structured data from unstructured text using large language models (LLMs). It creates a data pipeline to make sense of your private data. To get started, you can use the Solution Accelerator package, which provides a simple way to use GraphRAG with Azure resources. The benefit to you is that GraphRAG can enhance your LLM's ability to understand and reason about your data, making it easier to extract valuable information from texts. However, be aware that using GraphRAG can be costly, so it's important to read the documentation carefully and start with small tests.

https://github.com/microsoft/graphrag

#python

`aisuite` is a tool that makes it easy for developers to use multiple Generative AI models from different providers like OpenAI, Google, and AWS through a single interface. This means you can compare responses from different AI models without changing your code. To use `aisuite`, you need to install it using `pip` and set up API keys for the providers you want to use. It simplifies the process of testing and comparing AI responses, making your development work more efficient and flexible.

https://github.com/andrewyng/aisuite

#go #cli #docker #docker_image #explorer #inspector #tui

Dive is a tool that helps you analyze and optimize Docker images. It shows you the contents of each layer in the image, indicates what has changed in each layer, and estimates how much space is wasted. You can use it to build and immediately analyze an image with one command. It also integrates with CI pipelines to ensure your images are efficient. Dive supports multiple container engines like Docker and Podman, and it has customizable key bindings and UI settings. This tool helps you make your Docker images smaller and more efficient, saving space and improving performance.

https://github.com/wagoodman/dive

#swift #alamofire #carthage #certificate_pinning #cocoapods #httpurlresponse #networking #parameter_encoding #public_key_pinning #request #response #swift #swift_package_manager #urlrequest #urlsession #xcode

Alamofire is a powerful library for making HTTP requests in Swift. It makes networking easier with its simple and concise syntax. You can write complex requests with features like automatic retry, authentication, and response validation in just a few lines of code. Alamofire supports various platforms including iOS, macOS, tvOS, watchOS, and even Linux and Windows, though with some limitations on the latter. It also integrates well with tools like CocoaPods, Carthage, and the Swift Package Manager for easy installation. Using Alamofire helps you manage network requests efficiently and debug them easily, making your development process faster and more reliable.

https://github.com/Alamofire/Alamofire

#javascript #bugbounty #exploit_development #exploits #fingerprint #hacktoberfest #nuclei #nuclei_checks #nuclei_templates #security #vulnerability_detection

Nuclei Templates are pre-made scripts used by the Nuclei scanner to find security vulnerabilities in applications. These templates are created and shared by a community of users, making it easier for everyone to identify and fix security issues. You can contribute your own templates, report bugs, or request new features, which helps grow the library of available templates. This community-driven approach ensures that the scanner stays updated and effective, benefiting users by providing a robust tool for enhancing application security. You can also join discussions on GitHub or the Discord community to learn more and share ideas.

https://github.com/projectdiscovery/nuclei-templates

#html

This repository helps you build and contribute to the Kubernetes website and documentation. You can run the website locally using Hugo or a container runtime, which ensures consistency with the live site. To get started, you need to install tools like npm, Go, Hugo (Extended version), and a container runtime like Docker. You can then clone the repository, fetch necessary dependencies, and run the website locally. This setup allows you to make changes and see them reflected in real-time in your browser. Contributing to the docs is easy; you can fork the repository, make changes, and submit a pull request for review. This process helps ensure high-quality documentation for Kubernetes users.

https://github.com/kubernetes/website

#go #casaos #docker #golang #home_automation #home_cloud #home_server #iot #raspberry #self_hosted #vuejs

CasaOS is a personal cloud system that helps you manage your data and devices at home. It's designed to be easy to use, even if you're not tech-savvy. Here are the key benefits It reduces the cost of using cloud services by letting you host your own data center at home.
- **Data Control** It supports various hardware like ZimaBoard, Intel NUC, and Raspberry Pi, and can be installed with just one command.
- **User-Friendly Interface** There's a strong community behind it, offering help and sharing ideas through platforms like Discord.

Overall, CasaOS makes it easy to set up and manage your own personal cloud, giving you more control and savings.

https://github.com/IceWhaleTech/CasaOS

#java #jeepay #xxpay

Jeepay is an open-source payment system designed for internet companies. It supports multiple payment channels, including WeChat Pay, Alipay, and Cloud Flash Pay. Here are the key benefits Jeepay makes it simple to integrate various payment services into your system.
- **Security** The system is designed for high concurrency and distributed deployment.
- **User-Friendly** You can deploy the system quickly using a one-click installation script.
- **Extensive Documentation**: There are detailed guides and SDKs available for easy integration.

Overall, Jeepay simplifies the process of adding payment functionalities to your business, making it more convenient and secure.

https://github.com/jeequan/jeepay

#jupyter_notebook #deep_learning #machine_learning #python #pytorch

This course, "深入浅出PyTorch" (Thorough PyTorch), is designed to help you learn PyTorch from basics to advanced levels. It covers everything from installing PyTorch, understanding tensors and automatic differentiation, to building and training models, and even deploying them. The course is divided into several chapters, each focusing on different aspects of PyTorch, such as data loading, model construction, loss functions, optimizers, and visualization.

The benefit to you is that you will gain a comprehensive understanding of PyTorch, which is a powerful tool for deep learning. You will learn through both theoretical explanations and practical exercises, including hands-on projects like fashion classification and fruit classification. This will help you develop your programming skills and ability to solve real-world problems using deep learning algorithms. Additionally, the course includes video tutorials and a community-driven approach to learning, making it easier and more engaging.

https://github.com/datawhalechina/thorough-pytorch

#python

AutoCut is a tool that helps you cut videos using subtitles. Here’s how it works and its benefits
- **Ease of Use** Faster transcription with supported models like `large-v3-turbo`.
- **Flexibility** Edit your subtitles in any Markdown editor, making it easy to select and cut video segments.

Overall, AutoCut simplifies the process of cutting videos by allowing you to work with text files instead of dealing with video editing software.

https://github.com/mli/autocut