Popular GitHub Repositories for Smart Contracts

First version of go-MATRIX, especially for TPS optimization and AI

AI based fuzzer based on imitation learning

Smart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted)

Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection (TKDE Accepted)

Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives (TPS23)

Enable AI agents to understand and execute any DeFi protocol operations

Federated learning on blockchain using smart contracts. Distributed privacy-preserving data science technology.

MANDO is a new heterogeneous graph representation to learn the heterogeneous contract graphs' structures to accurately detect vulnerabilities in smart contract source code at both coarse-grained contract-level and fine-grained line-level.

MANDO-GURU, a deep graph learning-based tool, aims to accurately detect vulnerabilities in smart contract source code at both coarse-grained contract-level and fine-grained line-level.

Write and deploy smart contracts using natural language prompts.

ArcMind Vector DB

Scatter Protocol: An Incentivized and Trustless Protocol for Decentralized Federated Learning - Accepted to IEEE International Conference on Blockchain

List of reusable LLM prompts for Smart Contract Auditing

The repository delivers development on AI Agent called "Smart Worker" which automatically plans and execute tasks requested by Smart Contracts.

AI-Powered Smart Farming & Marketplace System

Simulating Federated Learning using Smart Contracts

Learning representations of smart contracts!

The described examples involve various smart contracts and classes used in the context of blockchain technology, generative art, and federated learning. Smart contracts are self-executing computer programs that can be used to automate processes, enforce rules, and create digital assets, among other things. In the case of tokenized generative art ..

This project implements Federated Learning (FL) models—both Horizontal and Vertical—for diabetes prediction while ensuring secure client-server communication using Solidity-based smart contracts

Riddikulus (Ridd) is an AI virus.