#python #ai_translation #dubbing #localization #video_translation #voice_cloning

VideoLingo is a powerful tool that helps translate, localize, and dub videos, making them understandable across different languages. It uses advanced technologies like WhisperX for accurate subtitle recognition and GPT for high-quality translations. The tool ensures single-line subtitles, similar to those on Netflix, and offers dubbing alignment for a more natural viewing experience. You can use it online, in Google Colab, or install it locally on your computer. This makes it easier to share videos globally without language barriers, enhancing global knowledge sharing and communication.

https://github.com/Huanshere/VideoLingo

#python #awesome #collections #python #python_framework #python_library #python_resources

This list provides a comprehensive collection of Python libraries, frameworks, and tools organized by category. Here’s the most important information and the benefit to the user**
- **Admin Panels** Libraries such as `pandas` and `scikit-learn` offer powerful tools for data manipulation and analysis, enhancing productivity in data science tasks.
- **Web Development** Libraries like `TensorFlow`, `PyTorch`, and `scikit-learn` enable users to build and deploy machine learning models with ease.
- **Testing** Libraries like `requests` and `FastAPI` simplify interacting with web APIs and building RESTful APIs.

**Benefit to the User:**
These libraries and tools streamline various aspects of Python development, from web development and data analysis to machine learning and testing. They save time, improve productivity, and enhance the overall quality of the code. Whether you're a beginner or an experienced developer, these resources can significantly aid in your projects by providing well-maintained, community-supported solutions for common tasks.

https://github.com/vinta/awesome-python

#python #hints #json_schema #parsing #pydantic #python #python310 #python311 #python312 #python37 #python38 #python39 #validation

Pydantic is a tool that helps you check if your data is correct using Python type hints. It's fast, easy to use, and works well with your coding tools. You can define how your data should look in simple Python code and then use Pydantic to validate it. This makes sure your data is consistent and accurate, which is very beneficial for keeping your programs stable and reliable. You can install it easily using `pip install -U pydantic` or `conda install pydantic -c conda-forge`.

https://github.com/pydantic/pydantic

#other #books #cs #hacktoberfest #links #programmer #sites

This resource is a comprehensive list of useful websites and tools for programmers, covering various aspects of programming and career development. Here are the key benefits It includes links to websites for learning programming languages, such as freeCodeCamp, Codecademy, and MOOCs from platforms like Coursera and edX.
- **Coding Practice** Links to tech news sites like TechCrunch, Ars Technica, and magazines such as MIT Technology Review help you stay updated on the latest tech trends.
- **Tools and Utilities** Websites and resources like GeeksforGeeks, Pramp, and Tech Interview Handbook are available to help prepare for technical interviews.
- **Community and Blogs** Job boards and internship platforms like Indeed, Glassdoor, and Internshala assist in finding job opportunities.

Overall, this collection provides a one-stop resource for programmers to improve their skills, stay updated with industry news, and advance their careers.

https://github.com/sdmg15/Best-websites-a-programmer-should-visit

#python

This text provides a comprehensive guide to learning Python and related technologies over a 100-day period. Here are the key points and benefits The guide starts with basic Python programming, covering topics like data types, functions, modules, and object-oriented programming.
- **Advanced Topics** The guide includes practical projects like web scraping, network programming, and team project development.
- **Tools and Technologies** There is a focus on performance optimization, including database tuning, caching, and load balancing.
- **Deployment** Users get a comprehensive learning path from beginner to advanced levels in Python.
- **Practical Skills** It covers a wide range of applications, including web development, data analysis, machine learning, and more.
- **Best Practices** The guide prepares users for various career paths such as backend development, data science, machine learning, and more.

Overall, this resource is beneficial for anyone looking to master Python and related technologies through a structured and practical learning approach.

https://github.com/jackfrued/Python-100-Days

#typescript #hacktoberfest #maplibre #maplibre_gl #maplibre_gl_js #typescript #webgl2

MapLibre GL JS is a free and open-source library that helps you display maps on your website or app quickly. It uses GPU-accelerated vector tile rendering, making it fast. You can easily add it to your HTML file by including the necessary JavaScript and CSS files. This library is a continuation of the open-source version of Mapbox GL JS and offers various features like displaying 3D buildings, heatmaps, and more. It also has detailed documentation and examples to help you get started. Using MapLibre GL JS benefits you by providing a powerful, community-supported mapping solution without the need for proprietary licenses.

https://github.com/maplibre/maplibre-gl-js

#cplusplus

This project uses an ESP32 device with a camera to digitize your analog meters, such as water, gas, or electricity meters, using artificial intelligence. You need a low-cost ESP32 board with a camera and some basic technical skills. The device takes photos of the meter, extracts the relevant information using AI, and then sends the data via MQTT, InfluxDB, or a REST API. It also has a web interface for administration and can be updated over the air. This setup makes your old meters smart and automated, saving you time and effort in monitoring your utility usage.

https://github.com/jomjol/AI-on-the-edge-device

#python #botsort #bytetrack #deep_learning #deepocsort #improvedassociation #mot #mots #multi_object_tracking #multi_object_tracking_segmentation #ocsort #osnet #segmentation #strongsort #tensorrt #tracking_by_detection #yolo

BoxMOT is a tool that helps track multiple objects in videos or images using advanced models. It offers various tracking methods that work well on different types of hardware, from CPUs to powerful GPUs. This means you can use it even if your computer is not very powerful. BoxMOT also saves time by allowing you to reuse pre-generated data, so you don't have to repeat calculations every time. You can easily install and use it with popular object detection models like YOLOv8, YOLOv9, and YOLOv10, and it supports tracking different types of data such as bounding boxes, segmentation masks, and pose estimations. This makes it very flexible and useful for various tasks involving object tracking.

https://github.com/mikel-brostrom/boxmot

#python #ai4science #document_analysis #extract_data #layout_analysis #ocr #parser #pdf #pdf_converter #pdf_extractor_llm #pdf_extractor_pretrain #pdf_extractor_rag #pdf_parser #python

MinerU is a tool that converts PDFs into machine-readable formats like markdown or JSON. Here are the key benefits and features MinerU removes headers, footers, and other unnecessary elements to ensure the text is semantically coherent and in human-readable order, even for complex layouts.
- **Structure Preservation** It extracts images, image descriptions, tables, and table titles.
- **Formula Conversion** Recognizes tables and converts them to LaTeX or HTML format.
- **OCR Support** Supports multiple output formats and various visualization results.
- **GPU and CPU Compatibility**: Works on both CPU and GPU environments, compatible with Windows, Linux, and Mac.

You can try MinerU through an online demo, a quick CPU demo, or by using a GPU for faster processing. For detailed usage, refer to the command line options, API integration, and deployment guides provided.

https://github.com/opendatalab/MinerU

#typescript

The es-toolkit is a powerful and efficient JavaScript library that provides many useful functions like debounce, delay, chunk, sum, and pick. It is designed for high performance and has a very small bundle size, reducing your JavaScript code by up to 97%. The library also supports TypeScript with strong type annotations and is thoroughly tested for reliability. Using es-toolkit can make your coding faster and more efficient, helping you write cleaner and more performant code.

https://github.com/toss/es-toolkit

#powershell #dotnet #dotnet_core

The .NET release notes provide important information about different versions of .NET, such as their release dates, support status, and end-of-support dates. For example, .NET 9 will be released on November 12, 2024, and will be supported until May 12, 2026. You can also find the latest patch versions for each release. This information helps users plan and manage their projects by knowing when to update or switch to a new version, ensuring they have the latest security patches and features. Additionally, you can follow GitHub discussions for the latest news and updates on .NET releases.

https://github.com/dotnet/core

#typescript #design_systems #material_design #react #react_components

Material UI is a powerful library of React components that follows Google's Material Design system. It has been developed and tested by thousands of contributors over more than a decade, making it reliable and trustworthy. This library helps you build user interfaces quickly and consistently, with a wide range of pre-built components. It also has extensions like MUI X for advanced use cases and Toolpad for building full-stack applications. Using Material UI benefits you by providing a well-tested and maintained set of components, saving you time and effort in developing your projects.

https://github.com/mui/material-ui

#go

Lazydocker is a simple terminal UI for managing Docker and Docker Compose. It helps you manage your containers and services in one window, making it easier to view logs, metrics, and perform common tasks like restarting or removing containers. You can install it using Homebrew, Scoop, Chocolatey, or by downloading a binary release. The tool simplifies managing multiple terminal windows and memorizing Docker commands, allowing you to focus on your work with keybindings and custom commands at your fingertips. This makes your development process faster and more efficient.

https://github.com/jesseduffield/lazydocker

#typescript #animation #animation_js #motion #react #reactanimations #spring

Motion is a free and open-source library that helps you create animations in JavaScript and React. It combines the power of JavaScript animations with the performance of native browser APIs, making your animations smooth and efficient. You can easily install it using `npm install motion` and start animating elements with simple code. For example, in JavaScript, you can animate an element by using `animate("#box", { x 100 }} />`. This makes it easy to add dynamic and engaging animations to your web projects, enhancing the user experience.

https://github.com/motiondivision/motion

#python #build_tools #hpc #hpsf #linux #macos #package_manager #python #radiuss #scientific_computing #spack

Spack is a tool that helps you install and manage different versions of software on your computer. It works on many operating systems like Linux, macOS, and Windows, and even on supercomputers. The best part is that it doesn't break existing installations, so you can have multiple versions of the same software running at the same time. Spack uses a simple syntax to specify what you want to install, and it's easy to contribute to the project if you want to add new features or packages. This makes it very flexible and useful for managing complex software setups.

https://github.com/spack/spack

#go #containers #event_driven #kubernetes #microservice #microservices #pubsub #serverless #sidecar #state_management

Dapr is a tool that helps developers build strong, scalable, and reliable microservices easily. It works with any programming language and framework, making it very flexible. Dapr adds a small side-car to your application that handles complex tasks like state management, messaging, and event triggers, so you don't have to worry about these details. This means you can focus on writing your code without getting bogged down in low-level details. Dapr also runs on various platforms, including cloud, edge devices, and local machines, making it very versatile. Overall, Dapr simplifies building distributed applications and makes them more consistent and portable.

https://github.com/dapr/dapr

#csharp #dotnet #hacktoberfest #help_wanted

The .NET Runtime repository contains the code for building the .NET runtime, libraries, and installers for various platforms. This project allows you to contribute by reporting issues, testing nightly builds, and even fixing bugs. You can learn how to use .NET through tutorials and documentation, and there are resources for deploying apps and getting support. Reporting security issues is also straightforward through a private email process. The project is open-source under the MIT license, making it free to use and modify. By participating, you can help improve .NET and be part of a global community of developers.

https://github.com/dotnet/runtime

#java #data_catalog #data_discovery #data_governance #datahub #metadata

DataHub is a free, open-source platform that helps you find and understand your data. It acts like a catalog for all your data, making it easier to discover, manage, and use. Built by Acryl Data and LinkedIn, DataHub supports modern data stacks and offers features like real-time metadata graphs, integration with various tools, and a user-friendly interface. You can try it out with a hosted demo or follow the quickstart guide to set it up locally. Joining the community through Slack or attending town hall meetings can also help you stay updated and connected with other users. This tool is beneficial because it simplifies data management, enhances collaboration, and improves overall data visibility within your organization.

https://github.com/datahub-project/datahub

#css #angular #charts #components #datagrid #datatable #mit #typescript #ui

PrimeNG is a useful tool for developers. You can check its latest version and download statistics on npm. It also has a continuous integration process to ensure it works well. If you have questions, you can join the Discord chat or participate in GitHub discussions. The PrimeNG website offers demos and detailed documentation to help you get started easily. This makes it easier for you to use PrimeNG effectively and stay updated with the community.

https://github.com/primefaces/primeng

#javascript

No description

https://github.com/TheBeastLT/torrentio-scraper

#shell #atproto #bluesky #self_hosted

You can host your own Personal Data Server (PDS) for the Bluesky social media app. This lets you control your data and connect to the larger Bluesky network. To set it up, you need a server with a public IP address and DNS configuration. Follow the steps to open firewall ports, configure DNS, and install the necessary software. Once set up, you can use the Bluesky app with your PDS, create accounts, and even set up email verification. Keeping your PDS updated is important to avoid issues. This gives you more control over your data and how you interact with the Bluesky network.

https://github.com/bluesky-social/pds