ZORA AIO is a software tool designed for interacting with the ZORA.CO ecosystem, offering extensive customization options, a wide range of contracts, and user-friendly settings. Users can perform various tasks related to NFT minting, bridging, gas management, token transactions, and more. The tool requires Python 3.10.10 for operation and provides detailed guidance on installation and usage. It includes features such as official and instant bridges, minting NFTs on different networks, creating ERC1155 contracts, updating NFT metadata, and more. Users can configure private keys and proxies in the _data_ folder and adjust settings in the _settings.py_ file. ZORA AIO is suitable for users looking to streamline their interactions within the ZORA.CO ecosystem.

Ailoy is a lightweight library for building AI applications such as agent systems or RAG pipelines with ease. It enables AI features effortlessly, supporting AI models locally or via cloud APIs, multi-turn conversation, system message customization, reasoning-based workflows, tool calling capabilities, and built-in vector store support. It also supports running native-equivalent functionality in web browsers using WASM. The library is in early development stages and provides examples in the `examples` directory for inspiration on building applications with Agents.

A Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to shadcn/ui v4 components, blocks, demos, and metadata. It allows users to seamlessly retrieve React, Svelte, Vue, and React Native implementations for AI-powered development workflows. The server supports multi-frameworks, component source code, demos, blocks, metadata access, directory browsing, smart caching, SSE transport, and Docker containerization. Users can quickly start the server, integrate with Claude Desktop, deploy with SSE transport or Docker, and access documentation for installation, configuration, integration, usage, frameworks, troubleshooting, and API reference. The server supports React, Svelte, Vue, and React Native implementations, with options for UI library selection. It enables AI-powered development, multi-client deployments, production environments, component discovery, multi-framework learning, rapid prototyping, and code generation.

The Claude Code Ultimate Guide is an exhaustive documentation resource that takes users from beginner to power user in using Claude Code. It includes production-ready templates, workflow guides, a quiz, and a cheatsheet for daily use. The guide covers educational depth, methodologies, and practical examples to help users understand concepts and workflows. It also provides interactive onboarding, a repository structure overview, and learning paths for different user levels. The guide is regularly updated and offers a unique 257-question quiz for comprehensive assessment. Users can also find information on agent teams coverage, methodologies, annotated templates, resource evaluations, and learning paths for different roles like junior developer, senior developer, power user, and product manager/devops/designer.

ChatGPT API Faucet is a frontend project for the public platform ChatGPT API Faucet, inspired by the crypto project MultiFaucet. It allows developers in the AI ecosystem to claim $1.00 for free every 24 hours. The program is developed using the Next.js framework and React library, with key components like _app.tsx for initializing pages, index.tsx for main modifications, and Layout.tsx for defining layout components. Users can deploy the project by installing dependencies, building the project, starting the project, configuring reverse proxies or using port:IP access, and running a development server. The tool also supports token balance queries and is related to projects like one-api, ChatGPT-Cost-Calculator, and Poe.Monster. It is licensed under the MIT license.

Stable Diffusion is a text-to-image AI model that can generate realistic images from a given text prompt. It is a powerful tool that can be used for a variety of creative and practical applications, such as generating concept art, creating illustrations, and designing products. Stable Diffusion is also a great tool for learning about AI and machine learning. This repository contains a collection of tutorials and resources on how to use Stable Diffusion.

FlashInfer is a library for Language Languages Models that provides high-performance implementation of LLM GPU kernels such as FlashAttention, PageAttention and LoRA. FlashInfer focus on LLM serving and inference, and delivers state-the-art performance across diverse scenarios.

WenXin-Starter is a spring-boot-starter for Baidu's 'WenXin Workshop' large model, facilitating quick integration of Baidu's AI capabilities. It provides complete integration with WenXin Workshop's official API documentation, supports WenShengTu, built-in conversation memory, and supports conversation streaming. It also supports QPS control for individual models and queuing mechanism, with upcoming plugin support.

HyperChat is an open Chat client that utilizes various LLM APIs to enhance the Chat experience and offer productivity tools through the MCP protocol. It supports multiple LLMs like OpenAI, Claude, Qwen, Deepseek, GLM, Ollama. The platform includes a built-in MCP plugin market for easy installation and also allows manual installation of third-party MCPs. Features include Windows and MacOS support, resource support, tools support, English and Chinese language support, built-in MCP client 'hypertools', 'fetch' + 'search', Bot support, Artifacts rendering, KaTeX for mathematical formulas, WebDAV synchronization, and a MCP plugin market. Future plans include permission pop-up, scheduled tasks support, Projects + RAG support, tools implementation by LLM, and a local shell + nodejs + js on web runtime environment.

ChatGPT Next Web is a well-designed cross-platform ChatGPT web UI tool that supports Claude, GPT4, and Gemini Pro models. It allows users to deploy their private ChatGPT applications with ease. The tool offers features like one-click deployment, compact client for Linux/Windows/MacOS, compatibility with self-deployed LLMs, privacy-first approach with local data storage, markdown support, responsive design, fast loading speed, prompt templates, awesome prompts, chat history compression, multilingual support, and more.

WenXin-Starter is a spring-boot-starter for Baidu's "Wenxin Qianfan WENXINWORKSHOP" large model, which can help you quickly access Baidu's AI capabilities. It fully integrates the official API documentation of Wenxin Qianfan. Supports text-to-image generation, built-in dialogue memory, and supports streaming return of dialogue. Supports QPS control of a single model and supports queuing mechanism. Plugins will be added soon.

GPULlama3.java powered by TornadoVM is a Java-native implementation of Llama3 that automatically compiles and executes Java code on GPUs via TornadoVM. It supports Llama3, Mistral, Qwen2.5, Qwen3, and Phi3 models in the GGUF format. The repository aims to provide GPU acceleration for Java code, enabling faster execution and high-performance access to off-heap memory. It offers features like interactive and instruction modes, flexible backend switching between OpenCL and PTX, and cross-platform compatibility with NVIDIA, Intel, and Apple GPUs.

PyTorch Lightning is a framework for training and deploying AI models. It provides a high-level API that abstracts away the low-level details of PyTorch, making it easier to write and maintain complex models. Lightning also includes a number of features that make it easy to train and deploy models on multiple GPUs or TPUs, and to track and visualize training progress. PyTorch Lightning is used by a wide range of organizations, including Google, Facebook, and Microsoft. It is also used by researchers at top universities around the world. Here are some of the benefits of using PyTorch Lightning: * **Increased productivity:** Lightning's high-level API makes it easy to write and maintain complex models. This can save you time and effort, and allow you to focus on the research or business problem you're trying to solve. * **Improved performance:** Lightning's optimized training loops and data loading pipelines can help you train models faster and with better performance. * **Easier deployment:** Lightning makes it easy to deploy models to a variety of platforms, including the cloud, on-premises servers, and mobile devices. * **Better reproducibility:** Lightning's logging and visualization tools make it easy to track and reproduce training results.

ChocoBuilder (aka Chocolate Factory) is an open-source LLM application development framework designed to help you easily create powerful software development SDLC + LLM generation assistants. It provides modules for integration into JVM projects, usage with RAGScript, and local deployment examples. ChocoBuilder follows a Domain Driven Problem-Solving design philosophy with key concepts like ProblemClarifier, ProblemAnalyzer, SolutionDesigner, SolutionReviewer, and SolutionExecutor. It offers use cases for desktop/IDE, server, and Android applications, with examples for frontend design, semantic code search, testcase generation, and code interpretation.

AutoRound is an advanced weight-only quantization algorithm for low-bits LLM inference. It competes impressively against recent methods without introducing any additional inference overhead. The method adopts sign gradient descent to fine-tune rounding values and minmax values of weights in just 200 steps, often significantly outperforming SignRound with the cost of more tuning time for quantization. AutoRound is tailored for a wide range of models and consistently delivers noticeable improvements.

PennyWise AI Tracker is a free and open-source expense tracker that uses on-device AI to turn bank SMS into a clean and searchable money timeline. It offers smart SMS parsing, clear insights, subscription tracking, on-device AI assistant, auto-categorization, data export, and supports major Indian banks. All processing happens on the user's device for privacy. The tool is designed for Android users in India who want automatic expense tracking from bank SMS, with clean categories, subscription detection, and clear insights.

ZORA AIO is a software tool designed for interacting with the ZORA.CO ecosystem, offering extensive customization options, a wide range of contracts, and user-friendly settings. Users can perform various tasks related to NFT minting, bridging, gas management, token transactions, and more. The tool requires Python 3.10.10 for operation and provides detailed guidance on installation and usage. It includes features such as official and instant bridges, minting NFTs on different networks, creating ERC1155 contracts, updating NFT metadata, and more. Users can configure private keys and proxies in the _data_ folder and adjust settings in the _settings.py_ file. ZORA AIO is suitable for users looking to streamline their interactions within the ZORA.CO ecosystem.

The 𝓜𝓔𝓥-𝓑𝓞𝓣 is a revolutionary tool that empowers users to maximize their ETH earnings through advanced slippage techniques within the Ethereum ecosystem. Its user-centric design, optimized earning mechanism, and comprehensive security measures make it an indispensable tool for traders seeking to enhance their crypto trading strategies. With its current free access, there's no better time to explore the 𝓜𝓔𝓥-𝓑𝓞𝓣's capabilities and witness the transformative impact it can have on your crypto trading journey.

This repository contains Airflow DAGs for extracting, transforming, and loading (ETL) data from the Ethereum blockchain into BigQuery. The DAGs use the Google Cloud Platform (GCP) services, including BigQuery, Cloud Storage, and Cloud Composer, to automate the ETL process. The repository also includes scripts for setting up the GCP environment and running the DAGs locally.

Airnode is a fully-serverless oracle node that is designed specifically for API providers to operate their own oracles.

The 𝓜𝓔𝓥-𝓑𝓞𝓣 is a revolutionary tool that empowers users to maximize their ETH earnings through advanced slippage techniques within the Ethereum ecosystem. Its user-centric design, optimized earning mechanism, and comprehensive security measures make it an indispensable tool for traders seeking to enhance their crypto trading strategies. With its current free access, there's no better time to explore the 𝓜𝓔𝓥-𝓑𝓞𝓣's capabilities and witness the transformative impact it can have on your crypto trading journey.

CortexTheseus is a full node implementation of the Cortex blockchain, written in C++. It provides a complete set of features for interacting with the Cortex network, including the ability to create and manage accounts, send and receive transactions, and participate in consensus. CortexTheseus is designed to be scalable, secure, and easy to use, making it an ideal choice for developers building applications on the Cortex blockchain.

This tool is a bot that monitors the performance of MEV transactions on the Ethereum blockchain. It provides real-time data on MEV profitability, transaction volume, and network congestion. The bot can be used to identify profitable MEV opportunities and to track the performance of MEV strategies.

Airdrop-checker is a tool that helps you to check if you are eligible for any airdrops. It supports multiple airdrops, including Altlayer, Rabby points, Zetachain, Frame, Anoma, Dymension, and MEME. To use the tool, you need to install it using npm and then fill the addresses files in the addresses folder with your wallet addresses. Once you have done this, you can run the tool using npm start.

Cyber is a superintelligence protocol that aims to create a decentralized and censorship-resistant internet. It uses a novel consensus mechanism called CometBFT and a knowledge graph to store and process information. Cyber is designed to be scalable, secure, and efficient, and it has the potential to revolutionize the way we interact with the internet.

Bittensor is an internet-scale neural network that incentivizes computers to provide access to machine learning models in a decentralized and censorship-resistant manner. It operates through a token-based mechanism where miners host, train, and procure machine learning systems to fulfill verification problems defined by validators. The network rewards miners and validators for their contributions, ensuring continuous improvement in knowledge output. Bittensor allows anyone to participate, extract value, and govern the network without centralized control. It supports tasks such as generating text, audio, images, and extracting numerical representations.