#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

#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

#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

#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

#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

#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

#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

#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

#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

#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

#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

#python

Surya is a powerful document OCR (Optical Character Recognition) toolkit that offers several key features
- High accuracy in text recognition and layout analysis.
- Support for multiple languages.
- Fast processing times, especially with GPU acceleration.
- Flexible usage options through command line tools or Python integration.
- A hosted API is available for consistent performance and reliability.

Overall, Surya is a versatile and efficient tool for extracting and analyzing text from documents.

https://github.com/VikParuchuri/surya

#typescript

Follow is a powerful tool that lets you manage all your favorite websites, blogs, social media, podcasts, and notifications in one place. It uses advanced AI to translate, summarize, and recommend content, and even provides daily AI reports to highlight important information. With blockchain technology, users can earn rewards and benefits through the Power Token. It's also a social platform where you can follow other users, share subscriptions, and discover new content. Available on multiple platforms including desktop and mobile, Follow makes it easy to stay updated and connected.

https://github.com/RSSNext/Follow

#javascript #arrow_functions #es2015 #es2016 #es2017 #es2018 #es6 #eslint #javascript #linting #naming_conventions #style_guide #style_linter #styleguide #tc39

This guide provides rules for writing clean and consistent JavaScript code. It advises using const and let instead of var for variable declarations, preferring arrow functions over traditional function expressions, and using template strings for string manipulation. It also recommends using object destructuring, array spreads, and default parameters in functions. The guide emphasizes the importance of proper spacing, indentation, and the use of semicolons. Additionally, it covers best practices for classes, modules, and control statements, and encourages thorough testing and performance optimization. Following these guidelines helps ensure that your code is readable, maintainable, and efficient.

https://github.com/airbnb/javascript

#python #3b1b_videos #animation #explanatory_math_videos #python

Manim is a tool that helps you create animated videos, especially for explaining math concepts. It uses Python and requires some other software like FFmpeg, OpenGL, and LaTeX. You can install it using `pip install manimgl` and start making animations right away. The benefit to you is that you can easily create engaging and clear educational videos without needing advanced animation skills. It also has a community version that is more stable and easier to use, making it friendly for beginners.

https://github.com/3b1b/manim

#c_lang #lede #lua #openwrt_feed #openwrt_package #openwrt_zh_cn

This guide helps you compile and use OpenWRT firmware for various devices, including those with Loongson and Phytium architectures. It provides step-by-step instructions on how to set up your environment, download the source code, and compile the firmware on different operating systems like Linux, WSL/WSL2, and macOS. The benefit to you is that you can customize and secure your router or other devices with a clean and safe firmware, free from any backdoors or monitoring software. Additionally, it offers resources for learning OpenWRT development and supports community involvement through discussion groups and donation options.

https://github.com/coolsnowwolf/lede

#java #airflow #azkaban #cloud_native #data_pipelines #job_scheduler #orchestration #powerful_data_pipelines #task_scheduler #workflow #workflow_orchestration #workflow_schedule

Apache DolphinScheduler is a powerful tool for managing data workflows. It makes it easy to create and manage complex tasks with a user-friendly interface and low-code options. You can deploy it in several ways, including standalone, cluster, Docker, and Kubernetes, making it flexible for different environments. It's highly reliable, scalable, and performs much faster than other platforms, supporting millions of tasks daily. The tool also offers features like versioning, state control of workflows, multi-tenancy support, and permission control. This helps you manage your data pipelines efficiently and reliably, saving time and effort.

https://github.com/apache/dolphinscheduler

#c_lang #bigdata #cloud_native #cluster #connected_vehicles #database #distributed #financial_analysis #industrial_iot #iot #metrics #monitoring #scalability #sql #tdengine #time_series #time_series_database #tsdb

TDengine is a powerful, open-source time-series database designed for handling large amounts of data from IoT devices, connected cars, and industrial IoT. Here are the key benefits It can handle billions of data collection points efficiently, outperforming other time-series databases in data ingestion, querying, and compression.
- **Simplified Solution** Designed for cloud environments, it supports distributed design, sharding, partitioning, and Kubernetes deployment.
- **Ease of Use** Makes data exploration and access efficient through features like super tables and pre-computation.
- **Open Source**: Available under open source licenses with an active developer community.

Using TDengine helps you manage and analyze large-scale time-series data efficiently, making it ideal for various IoT and industrial applications.

https://github.com/taosdata/TDengine

#go #alerting #ccf #metrics #monitoring #nightingale #observability #open_falcon #time_series #tsdb

Nightingale is a free, open-source monitoring tool designed for cloud environments. It combines data collection, visualization, monitoring alerts, and data analysis into one platform. This tool supports multiple time-series databases like Prometheus and VictoriaMetrics, and it has advanced alert management features, including alert rules and notifications. It also offers high-performance visualization with various dashboard templates and supports different data collectors. Using Nightingale, you can manage alerts efficiently, reduce disturbances, and ensure seamless collaboration. This makes it a powerful tool for enterprises to monitor and analyze their systems effectively.

https://github.com/ccfos/nightingale

#shell #android #hacktoberfest #linux #linux_distribution #packages #termux

Termux packages help you install and manage software on your Android device using the Termux app. This project provides scripts and patches to build these packages, making it easier to use Linux tools on your phone. You can find guides on how to manage packages and fix common errors in the package management wiki. If you need help or want to contribute, you can join the community through various chat channels or mailing lists. This makes it simple to enhance your Android device's capabilities with Linux software.

https://github.com/termux/termux-packages

#python #chineseocr #crnn #db #ocr #ocrlite

PaddleOCR is a powerful tool for Optical Character Recognition (OCR) that helps developers create and use advanced models. It supports various cutting-edge algorithms and models, such as text recognition, table recognition, and formula recognition. The tool offers low-code development capabilities, making it easy to use with simple Python APIs and graphical interfaces. This allows developers to quickly integrate and customize models for different tasks, including automated office work, financial risk control, healthcare, education, and more. It also supports deployment on various hardware like NVIDIA GPUs, Kunlun chips, and others, making it highly efficient and versatile.

https://github.com/PaddlePaddle/PaddleOCR