#java #bedrock #bedrock_edition #bedrock_to_java #bungee #fabric #geyser #geysermc #hacktoberfest #java #java_edition #minecraft #minecraft_bedrock_edition #packet #pe #protocol #proxy #spigot #translator #velocity
Geyser is a free tool that lets you play Minecraft across different versions by connecting Minecraft Java Edition servers. It works by translating data between the two game versions, enabling cross-platform play on devices like Windows, iOS, Android, and consoles. You can install it as a plugin or standalone, and it supports recent Minecraft versions. This means you can join Java servers even if you only have Bedrock Edition, expanding your multiplayer options without needing a separate Java account if you use the Floodgate plugin. It’s great for seamless crossplay but may have some minor limitations due to game differences[1][2][5].
https://github.com/GeyserMC/Geyser
Geyser is a free tool that lets you play Minecraft across different versions by connecting Minecraft Java Edition servers. It works by translating data between the two game versions, enabling cross-platform play on devices like Windows, iOS, Android, and consoles. You can install it as a plugin or standalone, and it supports recent Minecraft versions. This means you can join Java servers even if you only have Bedrock Edition, expanding your multiplayer options without needing a separate Java account if you use the Floodgate plugin. It’s great for seamless crossplay but may have some minor limitations due to game differences[1][2][5].
https://github.com/GeyserMC/Geyser
GitHub
GitHub - GeyserMC/Geyser: A bridge/proxy allowing you to connect to Minecraft: Java Edition servers with Minecraft: Bedrock Edition.
A bridge/proxy allowing you to connect to Minecraft: Java Edition servers with Minecraft: Bedrock Edition. - GeyserMC/Geyser
#typescript #blockchain #dapps #debugging #ethereum #javascript #smart_contracts #solidity #task_runner #tooling #typescript
Hardhat is a powerful Ethereum development tool that helps you write, test, and deploy smart contracts easily and efficiently. It includes a local Ethereum network for testing without real money, advanced debugging tools to find and fix errors quickly, and a flexible plugin system to add extra features. This makes your development faster, safer, and more convenient, especially if you want to build decentralized applications. You can install it with npm, follow simple setup steps, and access many guides and plugins to customize your workflow. Hardhat is widely used by professionals to streamline Ethereum programming and improve code quality.
https://github.com/NomicFoundation/hardhat
Hardhat is a powerful Ethereum development tool that helps you write, test, and deploy smart contracts easily and efficiently. It includes a local Ethereum network for testing without real money, advanced debugging tools to find and fix errors quickly, and a flexible plugin system to add extra features. This makes your development faster, safer, and more convenient, especially if you want to build decentralized applications. You can install it with npm, follow simple setup steps, and access many guides and plugins to customize your workflow. Hardhat is widely used by professionals to streamline Ethereum programming and improve code quality.
https://github.com/NomicFoundation/hardhat
GitHub
GitHub - NomicFoundation/hardhat: Hardhat is a development environment to compile, deploy, test, and debug your Ethereum software.
Hardhat is a development environment to compile, deploy, test, and debug your Ethereum software. - GitHub - NomicFoundation/hardhat: Hardhat is a development environment to compile, deploy, test, ...
#python #ai #code #ingestion
Gitingest helps you quickly turn any Git repository into a clear, easy-to-understand text summary optimized for large language models (LLMs). You can get a digest from a GitHub URL or local directory, with details on file structure, size, and token count. It works as a command-line tool, Python package, or browser extension, making it flexible for developers and researchers to analyze code efficiently. Installing is simple via pip or pipx, and it supports private repos with a GitHub token. This saves you time by providing smart, formatted code context ready for AI tools or your own projects.
https://github.com/cyclotruc/gitingest
Gitingest helps you quickly turn any Git repository into a clear, easy-to-understand text summary optimized for large language models (LLMs). You can get a digest from a GitHub URL or local directory, with details on file structure, size, and token count. It works as a command-line tool, Python package, or browser extension, making it flexible for developers and researchers to analyze code efficiently. Installing is simple via pip or pipx, and it supports private repos with a GitHub token. This saves you time by providing smart, formatted code context ready for AI tools or your own projects.
https://github.com/cyclotruc/gitingest
GitHub
GitHub - coderamp-labs/gitingest: Replace 'hub' with 'ingest' in any GitHub URL to get a prompt-friendly extract of a codebase
Replace 'hub' with 'ingest' in any GitHub URL to get a prompt-friendly extract of a codebase - GitHub - coderamp-labs/gitingest: Replace 'hub' with ...
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#blade #erp #food #groceries #grocy #home #meal_planner #ownyourdata #php #self_hosted
Grocy is a free, web-based tool you can host yourself to manage your groceries and household easily. It helps you track your food stock, plan meals, create shopping lists, manage chores, and keep info about your household devices all in one place. You can scan barcodes to add products quickly and get notifications about expired or low-stock items, reducing waste and saving money. It works on any device with a browser and offers a mobile app-like experience. You can customize it, use its API, and even run it via Docker. This makes managing your home organized, efficient, and less stressful.
https://github.com/grocy/grocy
Grocy is a free, web-based tool you can host yourself to manage your groceries and household easily. It helps you track your food stock, plan meals, create shopping lists, manage chores, and keep info about your household devices all in one place. You can scan barcodes to add products quickly and get notifications about expired or low-stock items, reducing waste and saving money. It works on any device with a browser and offers a mobile app-like experience. You can customize it, use its API, and even run it via Docker. This makes managing your home organized, efficient, and less stressful.
https://github.com/grocy/grocy
GitHub
GitHub - grocy/grocy: ERP beyond your fridge - Grocy is a web-based self-hosted groceries & household management solution for your…
ERP beyond your fridge - Grocy is a web-based self-hosted groceries & household management solution for your home - grocy/grocy
#python #aws #aws_cli #aws_sdk #cloud #cloud_management #cloudformation #cloudwatch #dynamodb #ec2 #ecs #elasticsearch #iam #kinesis #lambda #machine_learning #rds #redshift #route53 #s3 #serverless
AWS Lambda lets you run code without managing servers, automatically scaling to handle any number of requests and charging you only for the compute time you use. It supports many programming languages and integrates well with other AWS services, making it ideal for tasks like real-time data processing, image handling, chatbots, and automating backups. This serverless approach saves you time and money by removing infrastructure management and adapting instantly to demand spikes, so your applications stay responsive and cost-efficient even as usage changes. Lambda is great for building scalable, event-driven applications quickly and easily.
https://github.com/donnemartin/awesome-aws
AWS Lambda lets you run code without managing servers, automatically scaling to handle any number of requests and charging you only for the compute time you use. It supports many programming languages and integrates well with other AWS services, making it ideal for tasks like real-time data processing, image handling, chatbots, and automating backups. This serverless approach saves you time and money by removing infrastructure management and adapting instantly to demand spikes, so your applications stay responsive and cost-efficient even as usage changes. Lambda is great for building scalable, event-driven applications quickly and easily.
https://github.com/donnemartin/awesome-aws
GitHub
GitHub - donnemartin/awesome-aws: A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs…
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome. - donnemartin/awesome-aws
#other
Contains Company Wise Questions sorted based on Frequency and all time
https://github.com/krishnadey30/LeetCode-Questions-CompanyWise
Contains Company Wise Questions sorted based on Frequency and all time
https://github.com/krishnadey30/LeetCode-Questions-CompanyWise
GitHub
GitHub - krishnadey30/LeetCode-Questions-CompanyWise: Contains Company Wise Questions sorted based on Frequency and all time
Contains Company Wise Questions sorted based on Frequency and all time - krishnadey30/LeetCode-Questions-CompanyWise
#rust #editor #rust #terminal #text_editor
Microsoft Edit is a simple, modern text editor designed for easy use, especially for those not familiar with command-line tools. It combines the classic feel of the old MS-DOS Editor with a fresh interface like Visual Studio Code, supporting mouse use, multiple files, find and replace (including regex), and word wrap. It’s lightweight (under 250KB) and built in Rust, making it fast and efficient. You can install it easily on Windows using WinGet. This editor is great for quick, basic text editing tasks without needing complex setups or third-party tools, making editing straightforward and accessible for everyone[1].
https://github.com/microsoft/edit
Microsoft Edit is a simple, modern text editor designed for easy use, especially for those not familiar with command-line tools. It combines the classic feel of the old MS-DOS Editor with a fresh interface like Visual Studio Code, supporting mouse use, multiple files, find and replace (including regex), and word wrap. It’s lightweight (under 250KB) and built in Rust, making it fast and efficient. You can install it easily on Windows using WinGet. This editor is great for quick, basic text editing tasks without needing complex setups or third-party tools, making editing straightforward and accessible for everyone[1].
https://github.com/microsoft/edit
GitHub
GitHub - microsoft/edit: We all edit.
We all edit. Contribute to microsoft/edit development by creating an account on GitHub.
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#vue #courses_management_system #education #frappe #javascript #learning #learning_management_system #lms #online_course_platform #online_learning #open_source #python
Frappe Learning is an easy-to-use, open-source Learning Management System that helps you create and organize courses with a clear structure of courses, chapters, and lessons. It supports live Zoom classes, quizzes, assignments, and certificates to track and reward learner progress. You can host it yourself or use managed hosting for easy setup and maintenance. Its drag-and-drop course builder and pre-built lessons simplify course creation, while features like notifications and discussion sections enhance interaction. This system helps you share knowledge effectively, monitor learner progress, and provide a smooth, engaging learning experience without complicated setups or high costs.
https://github.com/frappe/lms
Frappe Learning is an easy-to-use, open-source Learning Management System that helps you create and organize courses with a clear structure of courses, chapters, and lessons. It supports live Zoom classes, quizzes, assignments, and certificates to track and reward learner progress. You can host it yourself or use managed hosting for easy setup and maintenance. Its drag-and-drop course builder and pre-built lessons simplify course creation, while features like notifications and discussion sections enhance interaction. This system helps you share knowledge effectively, monitor learner progress, and provide a smooth, engaging learning experience without complicated setups or high costs.
https://github.com/frappe/lms
GitHub
GitHub - frappe/lms: Easy to Use, 100% Open Source Learning Management System
Easy to Use, 100% Open Source Learning Management System - frappe/lms
#zig
Ghostty is a fast, feature-rich terminal emulator that combines speed, native platform integration, and modern features without compromise. It supports multi-window, tabs, and split panes, with GPU-accelerated rendering using Metal on macOS and OpenGL on Linux for smooth performance. Ghostty is highly compatible with existing shells and software, making it a drop-in replacement. It offers rich theming, ligature support, and advanced developer features that enable more interactive command-line applications. Its native UI and cross-platform design provide a polished, efficient terminal experience that enhances productivity and usability for both users and developers.
https://github.com/ghostty-org/ghostty
Ghostty is a fast, feature-rich terminal emulator that combines speed, native platform integration, and modern features without compromise. It supports multi-window, tabs, and split panes, with GPU-accelerated rendering using Metal on macOS and OpenGL on Linux for smooth performance. Ghostty is highly compatible with existing shells and software, making it a drop-in replacement. It offers rich theming, ligature support, and advanced developer features that enable more interactive command-line applications. Its native UI and cross-platform design provide a polished, efficient terminal experience that enhances productivity and usability for both users and developers.
https://github.com/ghostty-org/ghostty
GitHub
GitHub - ghostty-org/ghostty: 👻 Ghostty is a fast, feature-rich, and cross-platform terminal emulator that uses platform-native…
👻 Ghostty is a fast, feature-rich, and cross-platform terminal emulator that uses platform-native UI and GPU acceleration. - ghostty-org/ghostty
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#c_lang
SpaghettiKart is an unofficial PC port of Mario Kart 64 that runs smoothly on Windows, Linux, and even Nintendo Switch, offering better performance and online multiplayer, which the original N64 version lacked. You need a legal US ROM in .z64 format to use it, as the game itself doesn’t include any copyrighted assets. It supports custom mods and different graphics backends for better visuals and stability. This means you can enjoy Mario Kart 64 with improved graphics, online play, and modding options on modern devices, making the classic game more accessible and fun today[2][4].
https://github.com/HarbourMasters/SpaghettiKart
SpaghettiKart is an unofficial PC port of Mario Kart 64 that runs smoothly on Windows, Linux, and even Nintendo Switch, offering better performance and online multiplayer, which the original N64 version lacked. You need a legal US ROM in .z64 format to use it, as the game itself doesn’t include any copyrighted assets. It supports custom mods and different graphics backends for better visuals and stability. This means you can enjoy Mario Kart 64 with improved graphics, online play, and modding options on modern devices, making the classic game more accessible and fun today[2][4].
https://github.com/HarbourMasters/SpaghettiKart
GitHub
GitHub - HarbourMasters/SpaghettiKart
Contribute to HarbourMasters/SpaghettiKart development by creating an account on GitHub.
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#cplusplus
The LEGO Island portable project recreates the original LEGO Island game (version 1.1, English) so it can run on many platforms like Windows, Linux, macOS, and even the web, without changing the gameplay or adding new features. It replaces Windows-only parts with cross-platform libraries like SDL3 to make the game work smoothly on different systems. You need an original copy of LEGO Island to use it, and while developer builds exist, user-friendly versions are still being made. This means you can enjoy the classic LEGO Island game on modern devices and operating systems that it wasn’t originally designed for, preserving the nostalgic experience across platforms[2].
https://github.com/isledecomp/isle-portable
The LEGO Island portable project recreates the original LEGO Island game (version 1.1, English) so it can run on many platforms like Windows, Linux, macOS, and even the web, without changing the gameplay or adding new features. It replaces Windows-only parts with cross-platform libraries like SDL3 to make the game work smoothly on different systems. You need an original copy of LEGO Island to use it, and while developer builds exist, user-friendly versions are still being made. This means you can enjoy the classic LEGO Island game on modern devices and operating systems that it wasn’t originally designed for, preserving the nostalgic experience across platforms[2].
https://github.com/isledecomp/isle-portable
GitHub
GitHub - isledecomp/isle-portable: A portable version of LEGO Island (1997)
A portable version of LEGO Island (1997). Contribute to isledecomp/isle-portable development by creating an account on GitHub.
#other #ai #bolt #copilot #cursor #cursorai #devin #devinai #github_copilot #lovable #open_source #replit #system_prompts #trae #trae_ai #trae_ide #v0 #vscode #windsurf #windsurf_ai
You can access a huge collection of over 7000 lines of official system prompts and internal tools from many AI models and agents like v0, Manus, Cursor, Replit Agent, and more. These prompts guide AI to work better by giving clear instructions, which helps the AI give more accurate and useful answers. Using these prompts can save you time, improve AI performance, and make your interactions with AI smoother and more productive. Plus, there’s a free AI security audit service to help protect your AI systems from leaks and hacks, keeping your data safe. Supporting this project helps keep these valuable resources updated.
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools
You can access a huge collection of over 7000 lines of official system prompts and internal tools from many AI models and agents like v0, Manus, Cursor, Replit Agent, and more. These prompts guide AI to work better by giving clear instructions, which helps the AI give more accurate and useful answers. Using these prompts can save you time, improve AI performance, and make your interactions with AI smoother and more productive. Plus, there’s a free AI security audit service to help protect your AI systems from leaks and hacks, keeping your data safe. Supporting this project helps keep these valuable resources updated.
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools
GitHub
GitHub - x1xhlol/system-prompts-and-models-of-ai-tools: FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin…
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI...
#typescript #cli #clustering #concurrency #dependency_injection #effect #error_handling #javascript #observability #opentelemetry #platform #schema #typescript #workflows
Effect is a powerful TypeScript framework that helps you build reliable and complex applications by managing side effects like logging, network calls, and database operations in a safe and organized way. It uses a core `Effect` type to describe workflows that are lazy, composable, and type-safe, allowing you to handle errors and dependencies explicitly. The framework is modular, with many packages for AI, CLI tools, distributed computing, SQL databases, and more, making it flexible for various needs. Using Effect improves code quality, concurrency handling, and maintainability, helping you write robust TypeScript apps efficiently[1][2][4][5].
https://github.com/Effect-TS/effect
Effect is a powerful TypeScript framework that helps you build reliable and complex applications by managing side effects like logging, network calls, and database operations in a safe and organized way. It uses a core `Effect` type to describe workflows that are lazy, composable, and type-safe, allowing you to handle errors and dependencies explicitly. The framework is modular, with many packages for AI, CLI tools, distributed computing, SQL databases, and more, making it flexible for various needs. Using Effect improves code quality, concurrency handling, and maintainability, helping you write robust TypeScript apps efficiently[1][2][4][5].
https://github.com/Effect-TS/effect
GitHub
GitHub - Effect-TS/effect: Build production-ready applications in TypeScript
Build production-ready applications in TypeScript. Contribute to Effect-TS/effect development by creating an account on GitHub.
#java #gale #java #keyi #minecraft #minecraft_performance #minecraft_server_software #mirai #paper
Leaf is a high-performance, customizable Minecraft server software based on Paper, designed to improve game speed and flexibility. It supports asynchronous pathfinding, mob spawning, and entity tracking, making gameplay smoother. Leaf is compatible with Spigot and Paper plugins, supports all username characters, fixes some Minecraft bugs, and uses a disk-saving file format. It integrates error tracking for easier server maintenance and keeps dependencies up-to-date. This means you get a faster, more stable Minecraft server with better plugin support and easier management, enhancing your overall gaming experience. Java 21 or higher is required to run it.
https://github.com/Winds-Studio/Leaf
Leaf is a high-performance, customizable Minecraft server software based on Paper, designed to improve game speed and flexibility. It supports asynchronous pathfinding, mob spawning, and entity tracking, making gameplay smoother. Leaf is compatible with Spigot and Paper plugins, supports all username characters, fixes some Minecraft bugs, and uses a disk-saving file format. It integrates error tracking for easier server maintenance and keeps dependencies up-to-date. This means you get a faster, more stable Minecraft server with better plugin support and easier management, enhancing your overall gaming experience. Java 21 or higher is required to run it.
https://github.com/Winds-Studio/Leaf
GitHub
GitHub - Winds-Studio/Leaf: A Paper fork, focused on finding balance between performance, vanilla behavior and stability
A Paper fork, focused on finding balance between performance, vanilla behavior and stability - Winds-Studio/Leaf
#typescript
Claude Code Router lets you easily manage and switch between different AI models for coding tasks, improving flexibility and efficiency. You install it alongside Claude Code, then configure it to route requests to models best suited for background tasks, reasoning, or handling long contexts. You can also customize it with plugins to enhance functionality, like better tool usage or filtering notebook-related calls. It supports GitHub Actions, enabling automated coding workflows and cost savings by running tasks during cheaper API hours. This setup helps you get more accurate, cost-effective coding assistance tailored to your needs.
https://github.com/musistudio/claude-code-router
Claude Code Router lets you easily manage and switch between different AI models for coding tasks, improving flexibility and efficiency. You install it alongside Claude Code, then configure it to route requests to models best suited for background tasks, reasoning, or handling long contexts. You can also customize it with plugins to enhance functionality, like better tool usage or filtering notebook-related calls. It supports GitHub Actions, enabling automated coding workflows and cost savings by running tasks during cheaper API hours. This setup helps you get more accurate, cost-effective coding assistance tailored to your needs.
https://github.com/musistudio/claude-code-router
GitHub
GitHub - musistudio/claude-code-router: Use Claude Code as the foundation for coding infrastructure, allowing you to decide how…
Use Claude Code as the foundation for coding infrastructure, allowing you to decide how to interact with the model while enjoying updates from Anthropic. - musistudio/claude-code-router
#typescript #codemirror #graphiql #graphql #lsp_mode #lsp_server #monaco_editor #vscode
GraphiQL is a powerful, open-source GraphQL IDE that helps you write, test, and explore GraphQL queries easily in your browser or desktop. It offers features like syntax highlighting, live error checking, and schema exploration, making it simpler to work with GraphQL APIs. The project is part of a monorepo that includes tools for different editors like CodeMirror and Monaco, providing a consistent and extensible development experience. Using this monorepo setup improves collaboration, code sharing, and maintenance across related tools, saving you time and effort when building or extending GraphQL IDEs. This means you get a reliable, efficient environment to develop GraphQL applications faster and with fewer errors.
https://github.com/graphql/graphiql
GraphiQL is a powerful, open-source GraphQL IDE that helps you write, test, and explore GraphQL queries easily in your browser or desktop. It offers features like syntax highlighting, live error checking, and schema exploration, making it simpler to work with GraphQL APIs. The project is part of a monorepo that includes tools for different editors like CodeMirror and Monaco, providing a consistent and extensible development experience. Using this monorepo setup improves collaboration, code sharing, and maintenance across related tools, saving you time and effort when building or extending GraphQL IDEs. This means you get a reliable, efficient environment to develop GraphQL applications faster and with fewer errors.
https://github.com/graphql/graphiql
GitHub
GitHub - graphql/graphiql: GraphiQL & the GraphQL LSP Reference Ecosystem for building browser & IDE tools.
GraphiQL & the GraphQL LSP Reference Ecosystem for building browser & IDE tools. - graphql/graphiql
#other #automl #chatgpt #data_analysis #data_science #data_visualization #data_visualizations #deep_learning #gpt #gpt_3 #jax #keras #machine_learning #ml #nlp #python #pytorch #scikit_learn #tensorflow #transformer
This is a comprehensive, regularly updated list of 920 top open-source Python machine learning libraries, organized into 34 categories like frameworks, data visualization, NLP, image processing, and more. Each project is ranked by quality using GitHub and package manager metrics, helping you find the best tools for your needs. Popular libraries like TensorFlow, PyTorch, scikit-learn, and Hugging Face transformers are included, along with specialized ones for time series, reinforcement learning, and model interpretability. This resource saves you time by guiding you to high-quality, actively maintained libraries for building, optimizing, and deploying machine learning models efficiently.
https://github.com/ml-tooling/best-of-ml-python
This is a comprehensive, regularly updated list of 920 top open-source Python machine learning libraries, organized into 34 categories like frameworks, data visualization, NLP, image processing, and more. Each project is ranked by quality using GitHub and package manager metrics, helping you find the best tools for your needs. Popular libraries like TensorFlow, PyTorch, scikit-learn, and Hugging Face transformers are included, along with specialized ones for time series, reinforcement learning, and model interpretability. This resource saves you time by guiding you to high-quality, actively maintained libraries for building, optimizing, and deploying machine learning models efficiently.
https://github.com/ml-tooling/best-of-ml-python
GitHub
GitHub - lukasmasuch/best-of-ml-python: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. - lukasmasuch/best-of-ml-python
#ruby #engineering_blogs #lists #programming_blogs #software_development #tech
This list organizes hundreds of top software engineering blogs from big companies, well-known individuals, and popular technologies, all sorted for easy browsing. Following these blogs gives you access to expert advice, real-world solutions, and the latest trends in tech, helping you solve problems faster, learn new skills, and stay updated with what’s happening in the industry[1][3][5]. This saves you time and effort by pointing you to the most valuable resources, so you can focus on learning and improving your work.
https://github.com/kilimchoi/engineering-blogs
This list organizes hundreds of top software engineering blogs from big companies, well-known individuals, and popular technologies, all sorted for easy browsing. Following these blogs gives you access to expert advice, real-world solutions, and the latest trends in tech, helping you solve problems faster, learn new skills, and stay updated with what’s happening in the industry[1][3][5]. This saves you time and effort by pointing you to the most valuable resources, so you can focus on learning and improving your work.
https://github.com/kilimchoi/engineering-blogs
GitHub
GitHub - kilimchoi/engineering-blogs: A curated list of engineering blogs
A curated list of engineering blogs. Contribute to kilimchoi/engineering-blogs development by creating an account on GitHub.
#python #data_mining #data_science #deep_learning #deep_reinforcement_learning #genetic_algorithm #machine_learning #machine_learning_from_scratch
This project offers Python code for many basic machine learning models and algorithms built from scratch, focusing on clear, understandable implementations rather than speed or optimization. You can learn how these algorithms work inside by running examples like polynomial regression, convolutional neural networks, clustering, and genetic algorithms. This hands-on approach helps you deeply understand machine learning concepts and build your own custom models. Using Python makes it easier because of its simple, readable code and flexibility, letting you quickly test and modify algorithms. This can improve your skills and confidence in machine learning development.
https://github.com/eriklindernoren/ML-From-Scratch
This project offers Python code for many basic machine learning models and algorithms built from scratch, focusing on clear, understandable implementations rather than speed or optimization. You can learn how these algorithms work inside by running examples like polynomial regression, convolutional neural networks, clustering, and genetic algorithms. This hands-on approach helps you deeply understand machine learning concepts and build your own custom models. Using Python makes it easier because of its simple, readable code and flexibility, letting you quickly test and modify algorithms. This can improve your skills and confidence in machine learning development.
https://github.com/eriklindernoren/ML-From-Scratch
GitHub
GitHub - eriklindernoren/ML-From-Scratch: Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models…
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear...
#typescript #admin #admin_template #elegant #naive_ui #naive_ui_admin #pinia #typescript #unocss #vite6 #vue #vue_admin #vue3
SoybeanAdmin is a modern, elegant, and powerful backend management template built with the latest technologies like Vue3, Vite6, TypeScript, Pinia, and UnoCSS. It offers a clear project structure, strict code standards, automated file routing, and built-in internationalization. It supports flexible permission routing, rich page components, and mobile-friendly layouts, making it ready to use without extra setup. This helps you quickly build or learn advanced admin systems with high code quality and customization options, saving time and improving development efficiency. It also provides command-line tools and mock data support for easier development and testing[1][4][5].
https://github.com/soybeanjs/soybean-admin
SoybeanAdmin is a modern, elegant, and powerful backend management template built with the latest technologies like Vue3, Vite6, TypeScript, Pinia, and UnoCSS. It offers a clear project structure, strict code standards, automated file routing, and built-in internationalization. It supports flexible permission routing, rich page components, and mobile-friendly layouts, making it ready to use without extra setup. This helps you quickly build or learn advanced admin systems with high code quality and customization options, saving time and improving development efficiency. It also provides command-line tools and mock data support for easier development and testing[1][4][5].
https://github.com/soybeanjs/soybean-admin
GitHub
GitHub - soybeanjs/soybean-admin: A clean, elegant, beautiful and powerful admin template, based on Vue3, Vite7, TypeScript, Pinia…
A clean, elegant, beautiful and powerful admin template, based on Vue3, Vite7, TypeScript, Pinia, NaiveUI and UnoCSS. 一个清新优雅、高颜值且功能强大的后台管理模板,基于最新的前端技术栈,包括 Vue3, Vite7, TypeScript, Pinia, NaiveUI 和 ...
#python #mootdx #pytdx #tdx #tdxpy
mootdx is a free, open-source Python tool that helps you easily read and use stock market data from Tongdaxin on Windows, MacOS, and Linux. It supports Python 3.8+ and can read offline daily, minute, and timeline stock data, as well as online real-time market quotes and financial files. You can install it simply with pip and use it to get detailed stock info for analysis or trading. This saves you time and effort by providing a ready-made, flexible way to access and work with Chinese stock market data in Python. It’s great for learning, research, and personal projects but not for commercial use[1][4].
https://github.com/mootdx/mootdx
mootdx is a free, open-source Python tool that helps you easily read and use stock market data from Tongdaxin on Windows, MacOS, and Linux. It supports Python 3.8+ and can read offline daily, minute, and timeline stock data, as well as online real-time market quotes and financial files. You can install it simply with pip and use it to get detailed stock info for analysis or trading. This saves you time and effort by providing a ready-made, flexible way to access and work with Chinese stock market data in Python. It’s great for learning, research, and personal projects but not for commercial use[1][4].
https://github.com/mootdx/mootdx
GitHub
GitHub - mootdx/mootdx: 通达信数据读取的一个简便使用封装
通达信数据读取的一个简便使用封装. Contribute to mootdx/mootdx development by creating an account on GitHub.