#java #bigquery #database #dbt #delta_lake #elt #etl #hadoop #hive #hudi #iceberg #lakehouse #olap #query_engine #real_time #redshift #snowflake #spark #sql
Apache Doris is a high-performance, real-time analytical database that offers several benefits. It is easy to use with a simple architecture and supports standard SQL, making it compatible with MySQL tools. Doris delivers extremely fast query performance, even under massive data loads, making it ideal for scenarios like report analysis, ad-hoc queries, unified data warehouses, and data lake queries. It also supports federated querying of various data sources and has rich ecosystem integrations with tools like Spark and Flink. This makes Apache Doris a versatile and powerful tool for handling complex analytical tasks efficiently.
https://github.com/apache/doris
Apache Doris is a high-performance, real-time analytical database that offers several benefits. It is easy to use with a simple architecture and supports standard SQL, making it compatible with MySQL tools. Doris delivers extremely fast query performance, even under massive data loads, making it ideal for scenarios like report analysis, ad-hoc queries, unified data warehouses, and data lake queries. It also supports federated querying of various data sources and has rich ecosystem integrations with tools like Spark and Flink. This makes Apache Doris a versatile and powerful tool for handling complex analytical tasks efficiently.
https://github.com/apache/doris
GitHub
GitHub - apache/doris: Apache Doris is an easy-to-use, high performance and unified analytics database.
Apache Doris is an easy-to-use, high performance and unified analytics database. - apache/doris
#cplusplus
Swift is a powerful and modern programming language that offers several benefits. It has a clean syntax, making it easy to learn and use, and it is memory-safe by default, which helps prevent common programming errors. Swift allows seamless integration with existing C and Objective-C code, making it versatile for various projects. The language supports cross-compilation on multiple platforms including macOS, Ubuntu, Windows, and more, ensuring your programs can run on different operating systems. Additionally, Swift has an active community that welcomes contributions and provides extensive documentation and guides to help you get started quickly. This makes Swift an excellent choice for developers looking to create high-performance applications across various environments.
https://github.com/swiftlang/swift
Swift is a powerful and modern programming language that offers several benefits. It has a clean syntax, making it easy to learn and use, and it is memory-safe by default, which helps prevent common programming errors. Swift allows seamless integration with existing C and Objective-C code, making it versatile for various projects. The language supports cross-compilation on multiple platforms including macOS, Ubuntu, Windows, and more, ensuring your programs can run on different operating systems. Additionally, Swift has an active community that welcomes contributions and provides extensive documentation and guides to help you get started quickly. This makes Swift an excellent choice for developers looking to create high-performance applications across various environments.
https://github.com/swiftlang/swift
GitHub
GitHub - swiftlang/swift: The Swift Programming Language
The Swift Programming Language. Contribute to swiftlang/swift development by creating an account on GitHub.
#rust #deno #javascript #rust #typescript
Deno is a powerful tool for developers that allows you to run JavaScript, TypeScript, and WebAssembly with strong security features. It's built on top of V8, Rust, and Tokio, making it reliable and efficient. You can easily install Deno using simple commands on Mac, Linux, or Windows. Once installed, you can create web servers or other applications quickly. For example, you can write a simple "Hello World" web server in TypeScript and run it locally with just a few lines of code. Deno also offers extensive documentation and community resources to help you get started and stay updated.
The benefit to you is that Deno provides a secure and user-friendly environment to develop web applications quickly and efficiently, with robust support from its community and detailed documentation.
https://github.com/denoland/deno
Deno is a powerful tool for developers that allows you to run JavaScript, TypeScript, and WebAssembly with strong security features. It's built on top of V8, Rust, and Tokio, making it reliable and efficient. You can easily install Deno using simple commands on Mac, Linux, or Windows. Once installed, you can create web servers or other applications quickly. For example, you can write a simple "Hello World" web server in TypeScript and run it locally with just a few lines of code. Deno also offers extensive documentation and community resources to help you get started and stay updated.
The benefit to you is that Deno provides a secure and user-friendly environment to develop web applications quickly and efficiently, with robust support from its community and detailed documentation.
https://github.com/denoland/deno
GitHub
GitHub - denoland/deno: A modern runtime for JavaScript and TypeScript.
A modern runtime for JavaScript and TypeScript. Contribute to denoland/deno development by creating an account on GitHub.
#javascript #css #fe_interview #front_end #frontend #frontend_interview #html #interview #interview_questions #javascript #js #node #nodejs #react #resume #vue
If you or your friends love playing badminton, there's a professional badminton tournament system called "点点赛" (Diandiansai) that you can recommend. This system is easy to use and can be experienced by scanning a QR code with WeChat. It's about to become open-source, making it freely available for everyone. Using this system can help organize and manage badminton tournaments more efficiently, enhancing the overall experience for players and organizers alike.
https://github.com/haizlin/fe-interview
If you or your friends love playing badminton, there's a professional badminton tournament system called "点点赛" (Diandiansai) that you can recommend. This system is easy to use and can be experienced by scanning a QR code with WeChat. It's about to become open-source, making it freely available for everyone. Using this system can help organize and manage badminton tournaments more efficiently, enhancing the overall experience for players and organizers alike.
https://github.com/haizlin/fe-interview
GitHub
GitHub - haizlin/fe-interview: 前端面试每日 3+1,以面试题来驱动学习,提倡每日学习与思考,每天进步一点!每天早上5点纯手工发布面试题(死磕自己,愉悦大家),6000+道前端面试题全面覆盖,HTML/CSS/JavaSc…
前端面试每日 3+1,以面试题来驱动学习,提倡每日学习与思考,每天进步一点!每天早上5点纯手工发布面试题(死磕自己,愉悦大家),6000+道前端面试题全面覆盖,HTML/CSS/JavaScript/Vue/React/Nodejs/TypeScript/ECMAScritpt/Webpack/Jquery/小程序/软技能…… - haizlin/fe-interview
#cplusplus
Magisk is a free, open-source tool that helps you customize your Android device if it's running Android 6.0 or higher. It offers several key features: **MagiskSU** for giving apps root access, **Magisk Modules** to modify system partitions, **MagiskBoot** for working with boot images, and **Zygisk** to run code in every app process. By using Magisk, you can enhance your device's capabilities and personalize it more than what's possible with standard settings. You can download Magisk from the official GitHub page and find detailed installation instructions and documentation there as well.
https://github.com/topjohnwu/Magisk
Magisk is a free, open-source tool that helps you customize your Android device if it's running Android 6.0 or higher. It offers several key features: **MagiskSU** for giving apps root access, **Magisk Modules** to modify system partitions, **MagiskBoot** for working with boot images, and **Zygisk** to run code in every app process. By using Magisk, you can enhance your device's capabilities and personalize it more than what's possible with standard settings. You can download Magisk from the official GitHub page and find detailed installation instructions and documentation there as well.
https://github.com/topjohnwu/Magisk
GitHub
GitHub - topjohnwu/Magisk: The Magic Mask for Android
The Magic Mask for Android. Contribute to topjohnwu/Magisk development by creating an account on GitHub.
#go #anns #cloud_native #distributed #embedding_database #embedding_similarity #embedding_store #faiss #golang #hnsw #image_search #llm #nearest_neighbor_search #tensor_database #vector_database #vector_search #vector_similarity #vector_store
Milvus is an open-source vector database designed for embedding similarity search and AI applications. It makes unstructured data search more accessible and provides a consistent user experience across different deployment environments. Key features include millisecond search on trillion vector datasets, simplified unstructured data management, reliable and always-on operations, high scalability, and hybrid search capabilities. Milvus is cloud-native, supports multiple SDKs, and has a strong community with extensive documentation and support channels like Discord and mailing lists. Using Milvus benefits users by enabling fast and efficient vector searches, simplifying data management, and ensuring reliability and scalability in their applications.
https://github.com/milvus-io/milvus
Milvus is an open-source vector database designed for embedding similarity search and AI applications. It makes unstructured data search more accessible and provides a consistent user experience across different deployment environments. Key features include millisecond search on trillion vector datasets, simplified unstructured data management, reliable and always-on operations, high scalability, and hybrid search capabilities. Milvus is cloud-native, supports multiple SDKs, and has a strong community with extensive documentation and support channels like Discord and mailing lists. Using Milvus benefits users by enabling fast and efficient vector searches, simplifying data management, and ensuring reliability and scalability in their applications.
https://github.com/milvus-io/milvus
GitHub
GitHub - milvus-io/milvus: Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search - milvus-io/milvus
#cplusplus
Atmosphère is a customized firmware for the Nintendo Switch that allows you to modify and extend your console's capabilities. It includes several components like Fusée, Exosphère, Thermosphère, Stratosphère, and Troposphère, each serving different functions such as loading custom software, supporting virtualized NAND images, and adding new features to the operating system. This software is free and open-source under the GPLv2 license. Using Atmosphère can give you more control over your Switch, allow for customizations and enhancements, and provide a community-driven alternative to the standard firmware.
https://github.com/Atmosphere-NX/Atmosphere
Atmosphère is a customized firmware for the Nintendo Switch that allows you to modify and extend your console's capabilities. It includes several components like Fusée, Exosphère, Thermosphère, Stratosphère, and Troposphère, each serving different functions such as loading custom software, supporting virtualized NAND images, and adding new features to the operating system. This software is free and open-source under the GPLv2 license. Using Atmosphère can give you more control over your Switch, allow for customizations and enhancements, and provide a community-driven alternative to the standard firmware.
https://github.com/Atmosphere-NX/Atmosphere
GitHub
GitHub - Atmosphere-NX/Atmosphere: Atmosphère is a work-in-progress customized firmware for the Nintendo Switch.
Atmosphère is a work-in-progress customized firmware for the Nintendo Switch. - Atmosphere-NX/Atmosphere
#python #coreml #deep_learning #ios #machine_learning #ml #object_detection #onnx #pytorch #tflite #ultralytics #yolo #yolov3 #yolov5
YOLOv5 is a powerful and easy-to-use AI model for object detection, image segmentation, and classification. It is designed to be fast, accurate, and simple to implement. Here are the key benefits YOLOv5 is straightforward to set up and use, with detailed documentation and tutorials available.
- **Performance** You can use YOLOv5 for object detection, image segmentation, and classification tasks.
- **Community Support** You can run YOLOv5 in various environments such as Google Colab, Paperspace, Kaggle, and Docker.
Overall, YOLOv5 simplifies the process of integrating advanced AI capabilities into your projects.
https://github.com/ultralytics/yolov5
YOLOv5 is a powerful and easy-to-use AI model for object detection, image segmentation, and classification. It is designed to be fast, accurate, and simple to implement. Here are the key benefits YOLOv5 is straightforward to set up and use, with detailed documentation and tutorials available.
- **Performance** You can use YOLOv5 for object detection, image segmentation, and classification tasks.
- **Community Support** You can run YOLOv5 in various environments such as Google Colab, Paperspace, Kaggle, and Docker.
Overall, YOLOv5 simplifies the process of integrating advanced AI capabilities into your projects.
https://github.com/ultralytics/yolov5
GitHub
GitHub - ultralytics/yolov5: YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite. Contribute to ultralytics/yolov5 development by creating an account on GitHub.
#other #internships #interview_preparation #jobs #university
This repository provides a comprehensive list of summer 2025 tech internships across various companies in the United States, Canada, and remote positions. Here are the key points Maintained by Pitt Computer Science Club and Simplify, ensuring continuous updates.
- **Locations** Features internships from top tech companies like Amazon, Google, Microsoft, Facebook, and many more.
- **Roles**
- A guide called "Zero to Offer" for navigating the internship process.
- Email updates available through the SWE List tool.
- Autofill application feature via Simplify’s extension to streamline the application process.
To contribute, submit an issue following the provided guidelines. This resource is invaluable for students seeking tech internships in summer 2025.
https://github.com/SimplifyJobs/Summer2025-Internships
This repository provides a comprehensive list of summer 2025 tech internships across various companies in the United States, Canada, and remote positions. Here are the key points Maintained by Pitt Computer Science Club and Simplify, ensuring continuous updates.
- **Locations** Features internships from top tech companies like Amazon, Google, Microsoft, Facebook, and many more.
- **Roles**
- A guide called "Zero to Offer" for navigating the internship process.
- Email updates available through the SWE List tool.
- Autofill application feature via Simplify’s extension to streamline the application process.
To contribute, submit an issue following the provided guidelines. This resource is invaluable for students seeking tech internships in summer 2025.
https://github.com/SimplifyJobs/Summer2025-Internships
GitHub
GitHub - SimplifyJobs/Summer2026-Internships: Collection of Summer 2026 tech internships!
Collection of Summer 2026 tech internships! Contribute to SimplifyJobs/Summer2026-Internships development by creating an account on GitHub.
#python #data_analysis #data_science #data_visualization #deep_learning #deploy #gradio #gradio_interface #hacktoberfest #interface #machine_learning #models #python #python_notebook #ui #ui_components
Gradio is a Python package that helps you quickly build and share web demos for your machine learning models or any Python function. You don't need to know JavaScript, CSS, or web hosting to use it. With just a few lines of Python code, you can create a demo and share it via a public link. Gradio offers various tools like the `Interface` class for simple demos, `ChatInterface` for chatbots, and `Blocks` for more complex custom applications. It also allows easy sharing of your demos with others by generating a public URL in seconds. This makes it easy to showcase your work without technical hassle.
https://github.com/gradio-app/gradio
Gradio is a Python package that helps you quickly build and share web demos for your machine learning models or any Python function. You don't need to know JavaScript, CSS, or web hosting to use it. With just a few lines of Python code, you can create a demo and share it via a public link. Gradio offers various tools like the `Interface` class for simple demos, `ChatInterface` for chatbots, and `Blocks` for more complex custom applications. It also allows easy sharing of your demos with others by generating a public URL in seconds. This makes it easy to showcase your work without technical hassle.
https://github.com/gradio-app/gradio
GitHub
GitHub - gradio-app/gradio: Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work! - gradio-app/gradio
#jupyter_notebook #data_analysis #data_science #data_visualization #pandas #python
This curriculum is designed to help beginners learn data science over 10 weeks with 20 detailed lessons. Each lesson includes pre- and post-lesson quizzes, step-by-step guides, knowledge checks, and assignments to ensure you retain the information. You'll learn about data ethics, statistics, working with different types of data, data visualization, and the entire data science lifecycle. The project-based approach helps you build practical skills while learning. Additionally, there are resources for students and teachers to make the learning process flexible and engaging. This curriculum is beneficial because it provides a structured and interactive way to gain hands-on experience in data science, making it easier to understand and apply these skills in real-world scenarios.
https://github.com/microsoft/Data-Science-For-Beginners
This curriculum is designed to help beginners learn data science over 10 weeks with 20 detailed lessons. Each lesson includes pre- and post-lesson quizzes, step-by-step guides, knowledge checks, and assignments to ensure you retain the information. You'll learn about data ethics, statistics, working with different types of data, data visualization, and the entire data science lifecycle. The project-based approach helps you build practical skills while learning. Additionally, there are resources for students and teachers to make the learning process flexible and engaging. This curriculum is beneficial because it provides a structured and interactive way to gain hands-on experience in data science, making it easier to understand and apply these skills in real-world scenarios.
https://github.com/microsoft/Data-Science-For-Beginners
GitHub
GitHub - microsoft/Data-Science-For-Beginners: 10 Weeks, 20 Lessons, Data Science for All!
10 Weeks, 20 Lessons, Data Science for All! Contribute to microsoft/Data-Science-For-Beginners development by creating an account on GitHub.
👍1
#plpgsql #database #enterprisedb #gpdb #greenplum #hawq #mongodb #mysql #oracle #pg #pgsql #postgres #postgresql
Opensource,Database,AI,Business,Minds. git clone --depth 1 https://github.com/digoal/blog
https://github.com/digoal/blog
Opensource,Database,AI,Business,Minds. git clone --depth 1 https://github.com/digoal/blog
https://github.com/digoal/blog
#typescript #acm_icpc #acm_icpc_handbook #algorithms #competitive_programming #data_structures #hacktoberfest #icpc #icpc_handbook #icpc_training #oi #oi_handbook #oi_training
**OI Wiki** is a free and open resource for learning competitive programming. It provides organized knowledge on programming contests, including basic concepts, common question types, problem-solving strategies, and useful tools. This platform is constantly updated by a community of contributors who aim to make it comprehensive and helpful for beginners. By using **OI Wiki**, you can learn competitive programming more efficiently without spending a lot of time searching for scattered resources online. The content is freely available, non-commercial, and encourages community participation to improve its quality.
https://github.com/OI-wiki/OI-wiki
**OI Wiki** is a free and open resource for learning competitive programming. It provides organized knowledge on programming contests, including basic concepts, common question types, problem-solving strategies, and useful tools. This platform is constantly updated by a community of contributors who aim to make it comprehensive and helpful for beginners. By using **OI Wiki**, you can learn competitive programming more efficiently without spending a lot of time searching for scattered resources online. The content is freely available, non-commercial, and encourages community participation to improve its quality.
https://github.com/OI-wiki/OI-wiki
GitHub
GitHub - OI-wiki/OI-wiki: :star2: Wiki of OI / ICPC for everyone. (某大型游戏线上攻略,内含炫酷算术魔法)
:star2: Wiki of OI / ICPC for everyone. (某大型游戏线上攻略,内含炫酷算术魔法) - OI-wiki/OI-wiki
#typescript #crontab #docker #javascript #python #shell #task_manager #typescript
This platform, called 青龙 (Qinglong), is a powerful tool for managing timed tasks. It supports multiple scripting languages like Python3, JavaScript, Shell, and Typescript. You can manage your scripts online, view task logs in real-time, set tasks to run at precise intervals down to seconds, and even receive system-level notifications. The platform also offers dark mode and mobile compatibility.
Using Qinglong simplifies your task management by providing a centralized interface to handle all your scheduled tasks efficiently. It supports various deployment methods such as Docker, npm, and more, making it easy to set up and use regardless of your technical environment. This makes it a versatile and user-friendly solution for automating repetitive tasks.
https://github.com/whyour/qinglong
This platform, called 青龙 (Qinglong), is a powerful tool for managing timed tasks. It supports multiple scripting languages like Python3, JavaScript, Shell, and Typescript. You can manage your scripts online, view task logs in real-time, set tasks to run at precise intervals down to seconds, and even receive system-level notifications. The platform also offers dark mode and mobile compatibility.
Using Qinglong simplifies your task management by providing a centralized interface to handle all your scheduled tasks efficiently. It supports various deployment methods such as Docker, npm, and more, making it easy to set up and use regardless of your technical environment. This makes it a versatile and user-friendly solution for automating repetitive tasks.
https://github.com/whyour/qinglong
GitHub
GitHub - whyour/qinglong: 支持 Python3、JavaScript、Shell、Typescript 的定时任务管理平台(Timed task management platform supporting Python3, JavaScript…
支持 Python3、JavaScript、Shell、Typescript 的定时任务管理平台(Timed task management platform supporting Python3, JavaScript, Shell, Typescript) - whyour/qinglong
#cplusplus #classroom #cplusplus #database #education #hackertoberfest #learn_to_database #mini_database #training
MiniOB is a database learning project designed for beginners. It was developed by the OceanBase team and several universities to help students, database professionals, and enthusiasts learn database fundamentals. The project is simple and easy to understand, with step-by-step exercises that start from the basics and go deep into database internals. It simplifies complex features like concurrency and security to focus on the core principles of databases. This helps users master database kernel modules, memory management, network communication, and disk I/O handling, which are valuable skills for future interviews and jobs. Additionally, MiniOB provides detailed documentation, video tutorials, and an online development platform to make learning easier.
https://github.com/oceanbase/miniob
MiniOB is a database learning project designed for beginners. It was developed by the OceanBase team and several universities to help students, database professionals, and enthusiasts learn database fundamentals. The project is simple and easy to understand, with step-by-step exercises that start from the basics and go deep into database internals. It simplifies complex features like concurrency and security to focus on the core principles of databases. This helps users master database kernel modules, memory management, network communication, and disk I/O handling, which are valuable skills for future interviews and jobs. Additionally, MiniOB provides detailed documentation, video tutorials, and an online development platform to make learning easier.
https://github.com/oceanbase/miniob
GitHub
GitHub - oceanbase/miniob: MiniOB is a compact database that assists developers in understanding the fundamental workings of a…
MiniOB is a compact database that assists developers in understanding the fundamental workings of a database. - oceanbase/miniob
#go #2fa #authentication #ciam #fido2 #hacktoberfest #jwt #oauth #passkeys #passwordless #saml #sign_in_with_apple #sign_in_with_google #sso #user_management #webauthn
Hanko is a free and open-source tool that helps you move away from using passwords for logging in. It uses "passkeys," which are supported by Apple, Google, and Microsoft, and work with Touch ID, Face ID, and Windows Hello. This makes logging in faster and more secure. Hanko is easy to integrate into your website or app with just a few lines of code and offers customizable web components. It also supports other features like user management, JWT signing, and OAuth logins. Using Hanko benefits you by providing a better login experience without the need for passwords, making it more secure and convenient for your users.
https://github.com/teamhanko/hanko
Hanko is a free and open-source tool that helps you move away from using passwords for logging in. It uses "passkeys," which are supported by Apple, Google, and Microsoft, and work with Touch ID, Face ID, and Windows Hello. This makes logging in faster and more secure. Hanko is easy to integrate into your website or app with just a few lines of code and offers customizable web components. It also supports other features like user management, JWT signing, and OAuth logins. Using Hanko benefits you by providing a better login experience without the need for passwords, making it more secure and convenient for your users.
https://github.com/teamhanko/hanko
GitHub
GitHub - teamhanko/hanko: Modern authentication, on your terms. Open source alternative to Auth0, Clerk, WorkOS, Stytch.
Modern authentication, on your terms. Open source alternative to Auth0, Clerk, WorkOS, Stytch. - teamhanko/hanko
#solidity #airdrop #auction #blockchain #dapp #dapps #erc20 #erc721 #ethereum #merkle_tree #nft #open_source #signature_verification #smart_contracts #solidity #solidity_contracts #tutorial_code #web3
This resource, "WTF Solidity," is a comprehensive guide for learning Solidity, the programming language used for Ethereum smart contracts. It offers a step-by-step tutorial with over 50 lectures, covering basics, advanced topics, and real-world applications like ERC20, ERC721, and more.
The benefits include Each lecture comes with code examples, articles, and mirrors, making it easy to follow and practice.
- **Community Support** It covers complex subjects like contract security, EVM opcodes, and internal rules of Solidity.
- **Practical Applications** There are specific sections dedicated to contract security and common vulnerabilities.
Overall, this resource is ideal for both beginners and experienced developers looking to deepen their understanding of Solidity and Ethereum development.
https://github.com/AmazingAng/WTF-Solidity
This resource, "WTF Solidity," is a comprehensive guide for learning Solidity, the programming language used for Ethereum smart contracts. It offers a step-by-step tutorial with over 50 lectures, covering basics, advanced topics, and real-world applications like ERC20, ERC721, and more.
The benefits include Each lecture comes with code examples, articles, and mirrors, making it easy to follow and practice.
- **Community Support** It covers complex subjects like contract security, EVM opcodes, and internal rules of Solidity.
- **Practical Applications** There are specific sections dedicated to contract security and common vulnerabilities.
Overall, this resource is ideal for both beginners and experienced developers looking to deepen their understanding of Solidity and Ethereum development.
https://github.com/AmazingAng/WTF-Solidity
GitHub
GitHub - AmazingAng/WTF-Solidity: WTF Solidity 极简入门教程,供小白们使用。Now supports English! 官网: https://wtf.academy
WTF Solidity 极简入门教程,供小白们使用。Now supports English! 官网: https://wtf.academy - AmazingAng/WTF-Solidity
#python #chinese #clip #computer_vision #contrastive_loss #coreml_models #deep_learning #image_text_retrieval #multi_modal #multi_modal_learning #nlp #pretrained_models #pytorch #transformers #vision_and_language_pre_training #vision_language
This project is about a Chinese version of the CLIP (Contrastive Language-Image Pretraining) model, trained on a large dataset of Chinese text and images. Here’s what you need to know This model helps you quickly perform tasks like calculating text and image features, cross-modal retrieval (finding images based on text or vice versa), and zero-shot image classification (classifying images without any labeled examples).
- **Ease of Use** The model has been tested on various datasets and shows strong performance in zero-shot image classification and cross-modal retrieval tasks.
- **Resources**: The project includes pre-trained models, training and testing codes, and detailed tutorials on how to use the model for different tasks.
Overall, this project makes it easy to work with Chinese text and images using advanced AI techniques, saving you time and effort.
https://github.com/OFA-Sys/Chinese-CLIP
This project is about a Chinese version of the CLIP (Contrastive Language-Image Pretraining) model, trained on a large dataset of Chinese text and images. Here’s what you need to know This model helps you quickly perform tasks like calculating text and image features, cross-modal retrieval (finding images based on text or vice versa), and zero-shot image classification (classifying images without any labeled examples).
- **Ease of Use** The model has been tested on various datasets and shows strong performance in zero-shot image classification and cross-modal retrieval tasks.
- **Resources**: The project includes pre-trained models, training and testing codes, and detailed tutorials on how to use the model for different tasks.
Overall, this project makes it easy to work with Chinese text and images using advanced AI techniques, saving you time and effort.
https://github.com/OFA-Sys/Chinese-CLIP
GitHub
GitHub - OFA-Sys/Chinese-CLIP: Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation. - OFA-Sys/Chinese-CLIP
#typescript
The Revolt Frontend is the web client for Revolt Chat, built using Solid.js. To contribute, you need to follow the contribution guidelines, code style guidelines, and technical documentation. You must install Git, Node.js, and pnpm, then clone the repository and set it up with specific commands. This allows you to develop and test the application locally. The benefit to you is that you can easily contribute to and customize the Revolt Chat web client, making it more personalized and efficient for your needs.
https://github.com/revoltchat/frontend
The Revolt Frontend is the web client for Revolt Chat, built using Solid.js. To contribute, you need to follow the contribution guidelines, code style guidelines, and technical documentation. You must install Git, Node.js, and pnpm, then clone the repository and set it up with specific commands. This allows you to develop and test the application locally. The benefit to you is that you can easily contribute to and customize the Revolt Chat web client, making it more personalized and efficient for your needs.
https://github.com/revoltchat/frontend
GitHub
GitHub - revoltchat/frontend: Monorepo for Revolt's frontend.
Monorepo for Revolt's frontend. Contribute to revoltchat/frontend development by creating an account on GitHub.
#python #jax
JAX is a Python library that helps you do fast and efficient numerical computing, especially for machine learning. It can automatically find the derivatives of functions, which is useful for training neural networks. JAX also compiles your code to run on GPUs and TPUs, making it much faster. You can use functions like `grad` for differentiation, `jit` for compilation, `vmap` for vectorization, and `pmap` for parallel computing across multiple devices.
Using JAX benefits you by speeding up your computations, allowing you to handle large datasets and complex algorithms more efficiently. It also makes it easier to write and optimize your code without leaving Python. This means you can focus on your research or projects without worrying about the underlying performance details.
https://github.com/jax-ml/jax
JAX is a Python library that helps you do fast and efficient numerical computing, especially for machine learning. It can automatically find the derivatives of functions, which is useful for training neural networks. JAX also compiles your code to run on GPUs and TPUs, making it much faster. You can use functions like `grad` for differentiation, `jit` for compilation, `vmap` for vectorization, and `pmap` for parallel computing across multiple devices.
Using JAX benefits you by speeding up your computations, allowing you to handle large datasets and complex algorithms more efficiently. It also makes it easier to write and optimize your code without leaving Python. This means you can focus on your research or projects without worrying about the underlying performance details.
https://github.com/jax-ml/jax
GitHub
GitHub - jax-ml/jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more - jax-ml/jax
#javascript #rtfm #stfw #translation
To ask smart questions and get helpful answers, follow these key points:
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- 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