Aptos Improvement Proposals (AIP) describe standards for the Aptos Network including the core blockchain protocol and the development platform (Move), smart contracts and systems for smart contract verification, standards for the deployment and operation of the Aptos Network, APIs for accessing the Aptos Network and processing information from the Aptos Network. AIPs are intended to cover changes that impact active services within the Aptos ecosystem. The AIP issue tracker can be used to store exploratory proposals. To submit an AIP, users need to fork the repository, copy the template file, edit the AIP file, commit changes, and submit a pull request. AIPs are categorized as Standard and Informational, with different statuses like Draft, In Review, Ready for Approval, Accepted, Rejected, and On Hold. Users can provide feedback on AIPs by following discussions, evaluating communication clarity, and understanding the impact on the community.

SlideDeck AI is a tool that leverages Generative Artificial Intelligence to co-create slide decks on any topic. Users can describe their topic and let SlideDeck AI generate a PowerPoint slide deck, streamlining the presentation creation process. The tool offers an iterative workflow with a conversational interface for creating and improving presentations. It uses Mistral Nemo Instruct to generate initial slide content, searches and downloads images based on keywords, and allows users to refine content through additional instructions. SlideDeck AI provides pre-defined presentation templates and a history of instructions for users to enhance their presentations.

AirScript is a domain-specific language for expressing AIR constraints for STARKs, with the goal of enabling writing and auditing constraints without the need to learn a specific programming language. It also aims to perform automated optimizations and output constraint evaluator code in multiple target languages. The project is organized into several crates including Parser, MIR, AIR, Winterfell code generator, ACE code generator, and AirScript CLI for transpiling AIRs to target languages.

Wandbot is a question-answering bot designed for Weights & Biases documentation. It employs Retrieval Augmented Generation with a ChromaDB backend for efficient responses. The bot features periodic data ingestion, integration with Discord and Slack, and performance monitoring through logging. It has a fallback mechanism for model selection and is evaluated based on retrieval accuracy and model-generated responses. The implementation includes creating document embeddings, constructing the Q&A RAGPipeline, model selection, deployment on FastAPI, Discord, and Slack, logging and analysis with Weights & Biases Tables, and performance evaluation.

uuWAF is an industrial-grade, free, high-performance, highly extensible web application and API security protection product that supports AI and semantic engines.

UUSEC WAF is an industrial grade free, high-performance, and highly scalable web application and API security protection product that supports AI and semantic engines. It provides intelligent 0-day defense, ultimate CDN acceleration, powerful proactive defense, advanced semantic engine, and advanced rule engine. With features like machine learning technology, cache cleaning, dual layer defense, semantic analysis, and Lua script rule writing, UUSEC WAF offers comprehensive website protection with three-layer defense functions at traffic, system, and runtime layers.

The xNomad.fun repository is an open-source codebase for the website xNomad.fun. The project aims to provide a reference for developing AI-NFT applications based on the MCV project and to engage the community in transforming the AI and blockchain industries. The repository includes instructions for setting up the core service and configuring endpoints in the .env file. It also offers optional features like airdrop support and Twitter integration. For more information, users can refer to the xNomad Documentation. The project is licensed under the MIT License and is developed by the xNomad Team.

BeamNGpy is an official Python library providing an API to interact with BeamNG.tech, a video game focused on academia and industry. It allows remote control of vehicles, AI-controlled vehicles, dynamic sensor models, access to road network and scenario objects, and multiple clients. The library comes with low-level functions and higher-level interfaces for complex actions. BeamNGpy requires BeamNG.tech for usage and offers compatibility information for different versions. It also provides troubleshooting tips and encourages user contributions.

TuyaOpen is an open source AI+IoT development framework supporting cross-chip platforms and operating systems. It provides core functionalities for AI+IoT development, including pairing, activation, control, and upgrading. The SDK offers robust security and compliance capabilities, meeting data compliance requirements globally. TuyaOpen enables the development of AI+IoT products that can leverage the Tuya APP ecosystem and cloud services. It continues to expand with more cloud platform integration features and capabilities like voice, video, and facial recognition.

Sunnypilot is a fork of comma.ai's openpilot, offering a unique driving experience for over 250+ supported car makes and models with modified behaviors of driving assist engagements. It complies with comma.ai's safety rules and provides features like Modified Assistive Driving Safety, Dynamic Lane Profile, Enhanced Speed Control, Gap Adjust Cruise, and more. Users can install it on supported devices and cars following detailed instructions, ensuring a safe and enhanced driving experience.

BitMat is a Python package designed to optimize matrix multiplication operations by utilizing custom kernels written in Triton. It leverages the principles outlined in the "1bit-LLM Era" paper, specifically utilizing packed int8 data to enhance computational efficiency and performance in deep learning and numerical computing tasks.

Generative BI using RAG on AWS is a comprehensive framework designed to enable Generative BI capabilities on customized data sources hosted on AWS. It offers features such as Text-to-SQL functionality for querying data sources using natural language, user-friendly interface for managing data sources, performance enhancement through historical question-answer ranking, and entity recognition. It also allows customization of business information, handling complex attribution analysis problems, and provides an intuitive question-answering UI with a conversational approach for complex queries.

The Artificial Intelligence Incident Database (AIID) is a collection of incidents involving the development and use of artificial intelligence (AI). The database is designed to help researchers, policymakers, and the public understand the potential risks and benefits of AI, and to inform the development of policies and practices to mitigate the risks and promote the benefits of AI. The AIID is a collaborative project involving researchers from the University of California, Berkeley, the University of Washington, and the University of Toronto.

The Codebase Context Specification (CCS) project aims to standardize embedding contextual information within codebases to enhance understanding for both AI and human developers. It introduces a convention similar to `.env` and `.editorconfig` files but focused on documenting code for both AI and humans. By providing structured contextual metadata, collaborative documentation guidelines, and standardized context files, developers can improve code comprehension, collaboration, and development efficiency. The project includes a linter for validating context files and provides guidelines for using the specification with AI assistants. Tooling recommendations suggest creating memory systems, IDE plugins, AI model integrations, and agents for context creation and utilization. Future directions include integration with existing documentation systems, dynamic context generation, and support for explicit context overriding.

Vrt-Cogs is a collection of various useful and fun plugins (cogs) for Red-DiscordBot, allowing users to enhance their Discord server experience. The repository includes a wide range of cogs such as an intuitive ban appeal system, an AI assistant powered by OpenAI's ChatGPT, tools for documenting cogs, managing bank balances, tracking economy, hosting events, translating messages, sending emails, managing guild settings, playing games, and more. These cogs offer functionalities to automate tasks, engage users, and enhance server management. The repository also provides tools for profiling cogs, managing Space Engineers servers, setting up a ticket system, integrating with Upgrade.Chat API, accessing Xbox profiles, and more.

Hof is a CLI tool that unifies data models, schemas, code generation, and a task engine. It allows users to augment data, config, and schemas with CUE to improve consistency, generate multiple Yaml and JSON files, explore data or config with a TUI, and run workflows with automatic task dependency inference. The tool uses CUE to power the DX and implementation, providing a language for specifying schemas, configuration, and writing declarative code. Hof offers core features like code generation, data model management, task engine, CUE cmds, creators, modules, TUI, and chat for better, scalable results.

Aptos Improvement Proposals (AIP) describe standards for the Aptos Network including the core blockchain protocol and the development platform (Move), smart contracts and systems for smart contract verification, standards for the deployment and operation of the Aptos Network, APIs for accessing the Aptos Network and processing information from the Aptos Network. AIPs are intended to cover changes that impact active services within the Aptos ecosystem. The AIP issue tracker can be used to store exploratory proposals. To submit an AIP, users need to fork the repository, copy the template file, edit the AIP file, commit changes, and submit a pull request. AIPs are categorized as Standard and Informational, with different statuses like Draft, In Review, Ready for Approval, Accepted, Rejected, and On Hold. Users can provide feedback on AIPs by following discussions, evaluating communication clarity, and understanding the impact on the community.

OpenDevin is an open-source project aiming to replicate Devin, an autonomous AI software engineer capable of executing complex engineering tasks and collaborating actively with users on software development projects. The project aspires to enhance and innovate upon Devin through the power of the open-source community. Users can contribute to the project by developing core functionalities, frontend interface, or sandboxing solutions, participating in research and evaluation of LLMs in software engineering, and providing feedback and testing on the OpenDevin toolset.

This repository provides baselines for various competitions, a few top solutions for some competitions, and independent deep learning projects. Baselines serve as entry guides for competitions, suitable for beginners to make their first submission. Top solutions are more complex and refined versions of baselines, with limited quantity but enhanced quality. The repository is maintained by a single author, yunsuxiaozi, offering code improvements and annotations for better understanding. Users can support the repository by learning from it and providing feedback.

Comfyui-Aix-NodeMap is a project by the Aix team to organize and annotate the latest nodes in Comfyui. It aims to address the challenge of finding nodes effectively as their number increases. The project is continuously updated every 7 days, with the opportunity for users to provide feedback on any omissions or errors. The team respects developers' opinions and strives to make corrections promptly. The project is part of Aix's vision to make humanity more efficient through open-source contributions, including daily updates on workflow, AI information, and node introductions.

AI tag generator that combines 40,000 tags from Bilibili UP main Twelve Today is also very cute with Chinese translations from Novelai, providing Chinese search and tag generation services. It offers a tag community for magicians to directly copy and generate spells. Always free, no ads, no commercial use. The project includes a pure tag parsing library, independent spell parsing library, tag data repository, and a new gallery page with waterfall flow for viewing community images.

Gemini AI Code Reviewer is a GitHub Action that automatically reviews pull requests using Google's Gemini AI. It analyzes code changes, consults the Gemini model, provides feedback, and delivers review comments directly to pull requests on GitHub. Users need a Gemini API key and can trigger the workflow by commenting '/gemini-review' in the PR. The tool helps improve source code quality by giving suggestions and comments for enhancement.

RAGEN is a reinforcement learning framework designed to train reasoning-capable large language model (LLM) agents in interactive, stochastic environments. It addresses challenges such as multi-turn interactions and stochastic environments through a Markov Decision Process (MDP) formulation, Reason-Interaction Chain Optimization (RICO) algorithm, and progressive reward normalization strategies. The framework enables LLMs to reason and interact with the environment, optimizing entire trajectories for long-horizon reasoning while maintaining computational efficiency.

Comfyui-Aix-NodeMap is a project by the Aix team to organize and annotate the latest nodes in Comfyui. It aims to address the challenge of finding nodes effectively due to the increasing number of nodes. The project is updated every 7 days to provide the most recent node information. Users can provide feedback for any omissions or errors, and corrections will be made promptly. The project respects every developer and values community collaboration in improving node exposure and accessibility.

AXONE Smart Contracts repository hosts Smart Contracts for the AXONE network, compatible with any Cosmos blockchains using the CosmWasm framework. It includes storage, sovereignty, and resource management oriented Smart Contracts. Each contract has different functionalities and maturity stages, with detailed tech documentation and emojis indicating maturity levels. The repository provides tools for building, testing, deploying, and interacting with Smart Contracts, along with guidelines for contributing and community engagement.

Aptos Improvement Proposals (AIP) describe standards for the Aptos Network including the core blockchain protocol and the development platform (Move), smart contracts and systems for smart contract verification, standards for the deployment and operation of the Aptos Network, APIs for accessing the Aptos Network and processing information from the Aptos Network. AIPs are intended to cover changes that impact active services within the Aptos ecosystem. The AIP issue tracker can be used to store exploratory proposals. To submit an AIP, users need to fork the repository, copy the template file, edit the AIP file, commit changes, and submit a pull request. AIPs are categorized as Standard and Informational, with different statuses like Draft, In Review, Ready for Approval, Accepted, Rejected, and On Hold. Users can provide feedback on AIPs by following discussions, evaluating communication clarity, and understanding the impact on the community.

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.