#other #awesome_list #brasil #ciencia_da_computacao #computer_science #curriculo #cursos #hacktoberfest

The MIT License is a simple and permissive software license that lets you freely use, copy, modify, merge, publish, distribute, sublicense, and sell software, as long as you include the original copyright notice and license text in all copies. It does not require you to share your changes or make your code open source. The software is provided "as is," without any warranty, so the authors are not responsible for any problems. This license gives you great freedom and flexibility to use software for any purpose, including commercial, with minimal legal restrictions[1][3][5]. This benefits you by allowing easy and safe use and sharing of software without complex legal barriers.

https://github.com/Universidade-Livre/ciencia-da-computacao

#haxe #cne #codename_engine #fnf #fnf_engine #fnf_team #fridaynightfunkin

Codename Engine is a new, easy-to-use engine for Friday Night Funkin' that makes modding simpler and more flexible. It is still in beta, so some features are missing, but it supports creating and playing mods, modpacks, and even making your own sub-engines with proper credit. You can build it on Windows, Linux, or Mac by following specific steps. The engine is optimized and allows source-like editing without constant recompiling, making it great for both beginners and advanced modders. Using Codename Engine helps you customize your Friday Night Funkin' experience more easily and creatively[1][3][5].

https://github.com/CodenameCrew/CodenameEngine

#rust #bigdata #cloud_native #distributed_systems #filesystem #minio #object_storage #oss #rust #s3

RustFS is a fast and safe distributed object storage system built with Rust, offering high performance and scalability for large data needs like AI and big data. It is compatible with S3, easy to use, and open source under the business-friendly Apache 2.0 license. Compared to others like MinIO, RustFS provides better memory safety, no risky data logging, and supports local cloud providers. You can quickly install it via a script or Docker, manage storage through a simple web console, and benefit from a strong community and detailed documentation. This makes RustFS a reliable, cost-effective choice for secure, scalable storage.

https://github.com/rustfs/rustfs

#html #documentation #hacktoberfest #hass #hassio #home_assistant #jekyll

You can set up and contribute to the Home Assistant website easily by following the developer documentation, which explains how to edit and preview the site locally using simple commands. This helps you see your changes live on your computer before sharing them. There are also tools to speed up website updates by temporarily hiding blog posts you’re not working on, making the process faster. This setup benefits you by making it straightforward to improve the site, test changes quickly, and manage content efficiently without delays. It’s designed to support smooth collaboration and faster website maintenance.

https://github.com/home-assistant/home-assistant.io

#cplusplus #aes #avx #avx_instructions #chrome #chrome_devtools #chromedriver #chromium #chromium_browser #content_shell #jpeg_xl #jpegxl #jxl #libjxl #linux #thorium #thorium_browser #thoriumos #web_browser #web_platform #webbrowser

Thorium is a fast, optimized web browser based on Chromium, designed to work well on modern CPUs with advanced instruction sets like AVX and SSE4. It offers better performance than standard Chromium and Chrome, opening tabs and rendering pages quickly. Thorium includes enhanced privacy features such as DNS over HTTPS and Do Not Track enabled by default, plus support for modern media formats like HEVC and JPEG XL. It keeps the familiar Chrome interface and supports all Chrome extensions, making it easy to switch. Available on Windows, Linux, macOS, Android, and Raspberry Pi, it suits users wanting speed, privacy, and compatibility across devices[3][5][1].

https://github.com/Alex313031/thorium

#rust #cuda #rust

ZLUDA is a software that lets you run CUDA programs, originally made for NVIDIA GPUs, on AMD Radeon RX 5000 series and newer GPUs without changing the programs. It aims to give near-native performance on non-NVIDIA hardware, making CUDA applications more accessible. Currently, ZLUDA is still being developed and mainly supports Geekbench tests, so it might not work perfectly with all applications yet. It works on Windows and Linux but not on MacOS. If you have an AMD GPU and want to try running CUDA apps without an NVIDIA card, ZLUDA could be very useful as it opens up more hardware options for CUDA software[3][5].

https://github.com/vosen/ZLUDA

#rust #fpv #gopro #gpu #gpu_computing #gyroscope #insta360 #rolling_shutter_undistortion #rust #sony_alpha_cameras #stabilization #video #video_processing

Gyroflow is a powerful video stabilization software that uses gyroscope data from cameras like GoPro, Sony, and Insta360 to make your videos smooth and steady. It corrects lens distortion, rolling shutter effects, and can even level the horizon for a professional look. You can preview changes in real-time, use GPU acceleration for fast processing, and apply stabilization directly in popular video editors with plugins. It supports many video formats and works on Windows, Mac, Linux, Android, and iOS. Using Gyroflow helps you create high-quality, cinematic videos without bulky equipment or complicated setups[1][3][5].

https://github.com/gyroflow/gyroflow

#go #dev_tools #development_environment #go #golang #ide #jetbrains #remote_development #terraform #vscode

Coder lets you create and manage cloud-based development environments on your own servers or cloud accounts, using Terraform to define setups like VMs, containers, or Kubernetes pods. It securely connects your workspace via a fast tunnel and automatically shuts down idle environments to save money. You can start coding quickly without waiting days to onboard, and use your favorite IDEs like VS Code or JetBrains with easy integration. This means you get flexible, secure, and cost-efficient development spaces that speed up work, protect your code, and let your team collaborate smoothly from anywhere[1][3][5].

https://github.com/coder/coder

#rust #ai_agent #developer_tools #enterprise #fine_tuning #on_prem #open_source #rag #self_hosted #swe_bench #vscode

Refact.ai is a free, open-source AI software development agent that helps you code faster and smarter by deeply understanding your code and integrating with tools like GitHub, databases, Docker, and debuggers. It offers unlimited, context-aware code auto-completion, can generate, refactor, explain, debug code, and create tests and documentation across 25+ programming languages. You can run it securely on your own servers, use top AI models like GPT-4o, and connect your own API keys. This means you save time on repetitive tasks, improve code quality, and collaborate better, making your development workflow much more efficient and productive[1][3][5].

https://github.com/smallcloudai/refact

#javascript

You can learn web development easily in Hindi with a course designed for beginners and intermediate learners. It covers important skills like HTML, CSS, JavaScript, front-end and back-end development, and database integration. The course includes real projects and daily updates to help you practice and improve steadily. Learning in Hindi makes it simpler to understand coding concepts and build websites confidently, even if you are new to programming. This course is perfect if you want to start a career in web development or enhance your skills without language barriers. It offers a clear, step-by-step path to becoming a skilled web developer.

https://github.com/CodeWithHarry/Sigma-Web-Dev-Course

#typescript #12_factor #12_factor_agents #agents #ai #context_window #framework #llms #memory #orchestration #prompt_engineering #rag

The 12-Factor Agents are a set of proven principles to build reliable, scalable, and maintainable AI applications powered by large language models (LLMs). They help you combine the creativity of AI with the stability of traditional software by managing prompts, context, tool calls, error handling, and human collaboration effectively. Instead of relying solely on complex frameworks, you can apply these modular concepts to improve your existing products quickly and reach high-quality AI performance for real users. This approach makes AI software easier to develop, debug, and scale, ensuring it works well in production environments[1][3][5].

https://github.com/humanlayer/12-factor-agents

#jupyter_notebook #artificial_intelligence #book #large_language_models #llm #llms #oreilly #oreilly_books

You can learn how to use Large Language Models (LLMs) effectively through the book *Hands-On Large Language Models* by Jay Alammar and Maarten Grootendorst. This book uses nearly 300 custom illustrations to explain key concepts and practical tools for working with LLMs, including tokenization, transformers, prompt engineering, fine-tuning, and advanced text generation. It also provides runnable code examples in Google Colab, making it easy to practice and apply what you learn. This resource helps you understand and build your own LLM applications confidently, saving you time and effort in mastering complex AI technology. It’s highly recommended for anyone wanting hands-on experience with LLMs.

https://github.com/HandsOnLLM/Hands-On-Large-Language-Models

#python #agent #alibaba #artificial_intelligence #information_seeking #llm #multi_agent #rag #web_agent

You can use advanced AI models like WebSailor and WebDancer from Alibaba's Tongyi Lab to perform complex web tasks such as searching, browsing, and answering questions automatically. These models are trained to think deeply and handle difficult information-seeking tasks that were hard before. WebSailor excels in reasoning and can solve very challenging problems, while WebDancer learns to search and reason on its own through a special training process. Using these tools helps you get accurate, multi-step answers from the web quickly and efficiently, saving you time and effort in research or information gathering. They are open-source and come with demos to try out easily[3].

https://github.com/Alibaba-NLP/WebAgent

#other #applications #coding #codingchallenges #css #hacktoberfest #html #ideas #javascript #practice

You can improve your coding skills by using a collection of app ideas that are organized by difficulty levels: beginner, intermediate, and advanced. Each project comes with clear goals, user stories to guide development, optional bonus features to enhance learning, and helpful resources. This helps you practice daily, experiment with new technologies, and build a portfolio to impress employers or clients. The projects range from simple tools like calculators to complex apps like chat systems or game engines. This structured approach makes learning coding practical, fun, and effective, helping you grow as a developer step-by-step.

https://github.com/florinpop17/app-ideas

#swift #ci #cli #generator #specification #swift #xcode #xcodeproj #xcodeproject #yaml

XcodeGen is a Swift command-line tool that automatically creates your Xcode project based on your folder structure and a simple YAML or JSON configuration file. This means you don’t have to manually manage your Xcode project files, avoiding merge conflicts in Git and keeping your project files always in sync with your folders. It supports complex setups, multiple targets, build settings, and schemes, and works well with CI systems. Using XcodeGen saves you time, reduces errors, and makes collaboration easier by letting you generate and update projects on demand without opening Xcode manually. This helps you focus more on coding and less on project setup.

https://github.com/yonaskolb/XcodeGen

#other

This resource is a huge, well-organized collection of computer vision materials including books, courses, papers, software, datasets, tutorials, and tools. It covers everything from beginner to advanced topics like image processing, object detection, 3D vision, deep learning, and more. You can find free and paid courses from top universities, open-source libraries like OpenCV, pre-trained models, and datasets for practice. This helps you learn computer vision efficiently, find the right tools, and stay updated with the latest research and applications, saving you time and effort in your learning or project development. It’s great for students, researchers, and developers.

https://github.com/jbhuang0604/awesome-computer-vision

#dart #capture_traffic #httpdebug #proxy #proxypin #zhuabao

ProxyPin is a free, open-source tool that lets you capture, inspect, and modify HTTP(S) traffic on many devices like Windows, Mac, Android, iOS, and Linux. It’s easy to use with a nice interface and supports features like scanning QR codes to connect devices without manual setup, filtering traffic by domain, searching requests, rewriting or blocking requests, and saving traffic history. You can also write JavaScript scripts to customize how requests and responses are handled. This helps you debug network issues, analyze app traffic (including Flutter apps), and improve security or performance efficiently across platforms[1][3].

https://github.com/wanghongenpin/proxypin

#go #douyin #kuaishou #res_downloader #wechat #wechat_video #xiaohongshu

res-downloader is a user-friendly, cross-platform tool for downloading videos, music, images, and live streams from many popular platforms like WeChat, Douyin, Kuaishou, Xiaohongshu, and music apps. It works on Windows, macOS, and Linux, and supports proxy settings to help you get resources even on restricted networks. The tool is easy to use with a clear interface, automatically detects available resources, and lets you download them with just a few clicks. This makes it convenient for anyone who wants to quickly and easily save online content for personal use[1][2][3].

https://github.com/putyy/res-downloader

#go #databases #genai #llms #mcp

The MCP Toolbox for Databases helps developers connect AI agents to databases more easily and securely. It simplifies the process by handling complex tasks like connection pooling and authentication, allowing you to integrate databases with AI agents using minimal code. This toolbox supports the Model Context Protocol (MCP), which standardizes how AI interacts with external tools. By using MCP Toolbox, you can automate database tasks, query databases using natural language, and generate context-aware code, all of which save time and improve development efficiency.

https://github.com/googleapis/genai-toolbox

#python #3d_reconstruction #3d_vision #monocular_depth_estimation #monocular_geometry_estimation

MoGe-2 is a powerful tool for estimating 3D geometry from single images. It can create detailed point maps, depth maps, and normal maps with high precision. This model is especially useful because it can predict geometry in metric scale, meaning it provides accurate measurements. It also enhances visual sharpness, making it better than previous versions. Users benefit from MoGe-2 by getting precise 3D information from just one photo, which is helpful for applications like robotics or video games. It's fast and works well with different image sizes.

https://github.com/microsoft/MoGe