#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:
## 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
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
#python #billion_parameters #compression #data_parallelism #deep_learning #gpu #inference #machine_learning #mixture_of_experts #model_parallelism #pipeline_parallelism #pytorch #trillion_parameters #zero
DeepSpeed is a powerful tool for training and using large artificial intelligence models quickly and efficiently. It allows you to train models with billions or even trillions of parameters, which is much faster and cheaper than other methods. With DeepSpeed, you can achieve significant speedups, reduce costs, and improve the performance of your models. For example, it can train ChatGPT-like models 15 times faster than current state-of-the-art systems. This makes it easier to work with large language models without needing massive resources, making AI more accessible and efficient for everyone.
https://github.com/microsoft/DeepSpeed
DeepSpeed is a powerful tool for training and using large artificial intelligence models quickly and efficiently. It allows you to train models with billions or even trillions of parameters, which is much faster and cheaper than other methods. With DeepSpeed, you can achieve significant speedups, reduce costs, and improve the performance of your models. For example, it can train ChatGPT-like models 15 times faster than current state-of-the-art systems. This makes it easier to work with large language models without needing massive resources, making AI more accessible and efficient for everyone.
https://github.com/microsoft/DeepSpeed
GitHub
GitHub - deepspeedai/DeepSpeed: DeepSpeed is a deep learning optimization library that makes distributed training and inference…
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. - deepspeedai/DeepSpeed
#cplusplus #c #c_plus_plus #c_sharp #cross_platform #flatbuffers #go #grpc #java #javascript #json_parser #marshalling #mmap #protobuf #python #rpc #rust #serialization #serialization_library #typescript #zero_copy
FlatBuffers is a tool that helps you store and send data efficiently across different devices and programming languages. It lets you access the data directly without needing to unpack it first, which saves time and memory. Here’s how it benefits you FlatBuffers uses less memory, making it ideal for applications where space is limited.
- **Cross-Language Compatibility** You define your data structure, generate the necessary code, and then serialize and deserialize the data easily.
- **Wide Support**: It works on many operating systems like Windows, macOS, Linux, and Android, and supports numerous programming languages such as C++, Java, Python, and more.
This makes FlatBuffers a powerful tool for developing efficient and compatible software.
https://github.com/google/flatbuffers
FlatBuffers is a tool that helps you store and send data efficiently across different devices and programming languages. It lets you access the data directly without needing to unpack it first, which saves time and memory. Here’s how it benefits you FlatBuffers uses less memory, making it ideal for applications where space is limited.
- **Cross-Language Compatibility** You define your data structure, generate the necessary code, and then serialize and deserialize the data easily.
- **Wide Support**: It works on many operating systems like Windows, macOS, Linux, and Android, and supports numerous programming languages such as C++, Java, Python, and more.
This makes FlatBuffers a powerful tool for developing efficient and compatible software.
https://github.com/google/flatbuffers
GitHub
GitHub - google/flatbuffers: FlatBuffers: Memory Efficient Serialization Library
FlatBuffers: Memory Efficient Serialization Library - google/flatbuffers
👍1
#typescript #ai #alternative #auth #database #deno #embeddings #example #firebase #nextjs #oauth2 #pgvector #postgis #postgres #postgresql #postgrest #realtime #supabase #vectors #websockets
Supabase is an open-source alternative to Firebase, built using enterprise-grade tools. It offers a hosted Postgres database, authentication and authorization, auto-generated APIs (REST, GraphQL, and realtime subscriptions), functions, file storage, and an AI toolkit. You can use it without installing anything or self-host it. Supabase supports multiple programming languages and has a strong community for support and discussions. This means you get powerful database and application features similar to Firebase but with the flexibility and transparency of open-source software, which can be more customizable and cost-effective.
https://github.com/supabase/supabase
Supabase is an open-source alternative to Firebase, built using enterprise-grade tools. It offers a hosted Postgres database, authentication and authorization, auto-generated APIs (REST, GraphQL, and realtime subscriptions), functions, file storage, and an AI toolkit. You can use it without installing anything or self-host it. Supabase supports multiple programming languages and has a strong community for support and discussions. This means you get powerful database and application features similar to Firebase but with the flexibility and transparency of open-source software, which can be more customizable and cost-effective.
https://github.com/supabase/supabase
GitHub
GitHub - supabase/supabase: The Postgres development platform. Supabase gives you a dedicated Postgres database to build your web…
The Postgres development platform. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications. - supabase/supabase
#go #device_plugin #gpu_management #gpu_virtualization #kubernetes_gpu_cluster #vgpu
HAMi is a tool that helps manage different types of devices like GPUs and NPUs in Kubernetes. It allows these devices to be shared among various tasks and makes sure they are used efficiently. This means you can use these powerful devices without changing your applications. HAMi benefits users by providing a unified way to manage these devices, ensuring better performance and resource utilization, and it is widely used in many industries. It also supports multiple types of devices and has a strong community for support and contributions.
https://github.com/Project-HAMi/HAMi
HAMi is a tool that helps manage different types of devices like GPUs and NPUs in Kubernetes. It allows these devices to be shared among various tasks and makes sure they are used efficiently. This means you can use these powerful devices without changing your applications. HAMi benefits users by providing a unified way to manage these devices, ensuring better performance and resource utilization, and it is widely used in many industries. It also supports multiple types of devices and has a strong community for support and contributions.
https://github.com/Project-HAMi/HAMi
GitHub
GitHub - Project-HAMi/HAMi: Heterogeneous AI Computing Virtualization Middleware(Project under CNCF)
Heterogeneous AI Computing Virtualization Middleware(Project under CNCF) - Project-HAMi/HAMi
#python #ocr #ocr_python #paddleocr #qml #qt #screenshot #umi_ocr
Umi-OCR is a free, open-source, and offline OCR (Optical Character Recognition) software that offers several benefits. Here are the key points The software is completely free to use, with all code available openly.
- **Convenient** It comes with efficient OCR engines and supports multiple languages.
- **Flexible** It includes screenshot OCR, batch OCR, PDF recognition, QR code scanning and generation, and formula recognition.
This software is easy to use, supports various file formats, and has features like ignoring regions in images to exclude unwanted text. It also supports multiple languages and themes, making it highly customizable. Overall, Umi-OCR is a powerful tool for anyone needing to extract text from images or documents efficiently.
https://github.com/hiroi-sora/Umi-OCR
Umi-OCR is a free, open-source, and offline OCR (Optical Character Recognition) software that offers several benefits. Here are the key points The software is completely free to use, with all code available openly.
- **Convenient** It comes with efficient OCR engines and supports multiple languages.
- **Flexible** It includes screenshot OCR, batch OCR, PDF recognition, QR code scanning and generation, and formula recognition.
This software is easy to use, supports various file formats, and has features like ignoring regions in images to exclude unwanted text. It also supports multiple languages and themes, making it highly customizable. Overall, Umi-OCR is a powerful tool for anyone needing to extract text from images or documents efficiently.
https://github.com/hiroi-sora/Umi-OCR
GitHub
GitHub - hiroi-sora/Umi-OCR: OCR software, free and offline. 开源、免费的离线OCR软件。支持截屏/批量导入图片,PDF文档识别,排除水印/页眉页脚,扫描/生成二维码。内置多国语言库。
OCR software, free and offline. 开源、免费的离线OCR软件。支持截屏/批量导入图片,PDF文档识别,排除水印/页眉页脚,扫描/生成二维码。内置多国语言库。 - hiroi-sora/Umi-OCR
#typescript #ai #azure_openai_api #chat #chatglm #chatgpt #claude #dalle_3 #function_calling #gemini #gpt #gpt_4 #gpt_4_vision #knowledge_base #nextjs #ollama #openai #qwen2 #rag #tts
LobeChat is an open-source, modern chatbot framework that supports ChatGPT and other Large Language Models (LLMs). It offers several key features Works with multiple AI model providers like OpenAI, Google AI, and more.
- **Speech Synthesis and Voice Conversation** Can recognize and respond to images using models like GPT-4 Vision.
- **Text to Image Generation** Extends functionality with plugins for tasks like web searches and document management.
- **One-Click Deployment** Offers customizable themes and optimized mobile experience.
These features make LobeChat highly flexible and user-friendly, allowing you to create a personalized and powerful chatbot with minimal setup.
https://github.com/lobehub/lobe-chat
LobeChat is an open-source, modern chatbot framework that supports ChatGPT and other Large Language Models (LLMs). It offers several key features Works with multiple AI model providers like OpenAI, Google AI, and more.
- **Speech Synthesis and Voice Conversation** Can recognize and respond to images using models like GPT-4 Vision.
- **Text to Image Generation** Extends functionality with plugins for tasks like web searches and document management.
- **One-Click Deployment** Offers customizable themes and optimized mobile experience.
These features make LobeChat highly flexible and user-friendly, allowing you to create a personalized and powerful chatbot with minimal setup.
https://github.com/lobehub/lobe-chat
GitHub
GitHub - lobehub/lobe-chat: 🤯 LobeHub - an open-source, modern design AI Agent Workspace. Supports multiple AI providers, Knowledge…
🤯 LobeHub - an open-source, modern design AI Agent Workspace. Supports multiple AI providers, Knowledge Base (file upload / RAG ), one click install MCP Marketplace and Artifacts / Thinking. One-cl...