Smart contract audit skills roadmap for beginners, auditors, engineers, etc.By: Kong'@慢雾安全团队 前言 路线图 出发准备 1. 知行合一 2. 守正出奇 3. 团队意识 寻门而入 1. 区块链基础知识 2. 智能合约基础知识 3. 常见的智能合约漏洞 4. 最佳实践与安全标准 5. 简单 CTF 挑战 倚门而歌 1. 去中心化金融(DeFi)基础知识 2. 去中心化金融(DeFi)头部协议 3. 深入阅读头部协议源代码 4. 了解去中心化金融(DeFi) 风险 5. 阅读审计报告 6. CTF 挑战 融会贯通 1. 深入了解 EVM 2. Gas 优化设计 3. DeFi 经济模型 4. 拆解分析复杂 DeFi 协议 5. 与同道者同行 6. 快速应急分析 7. Bug Bounty 实战 破门而出 1. 突破局限 2. 方法论 3. 创造力 致谢 前言 本技能表是慢雾安全团队智能合约安全审计工程师的技能集合，旨在为团队成员列出智能合约安全审计的所需技能并…
Radius is a cloud-native, portable application platform that makes app development easier for teams building cloud-native apps.Radius Radius is a cloud-native application platform that enables developers and the platform engineers that support them to collaborate on delivering and managing cloud-native applications that follow organizational best practices for cost, operations and security, by default. Radius is an open-source project that supports deploying applications across private cloud, M…
Um guia abrangente para iniciantes na área de cibersegurança.📣 COMECE POR AQUI! Um guia abrangente para iniciantes na área de cibersegurança. 📖 Conteúdo Trilha de Estudo Guia de Certificações Fundamentos de Cibersegurança Soft skills Livros recomendados Eventos no Brasil Laboratórios Virtuais Desafios CTF (Capture The Flag) Sites e Blogs Recomendados: Podcasts sobre Cibersegurança: Ferramentas Essenciais: Reddit: Subreddits para discussões. Youtube: Canais sobre Cibersegurança Brasileiros. Yo…
Build browser agents for real world tasksautotab Welcome to autotab! autotab makes it easy to create auditable browser automations using AI. Go from a point & click demonstration in the browser to live code for those actions in seconds. Quickstart It usually takes 5-10 minutes to get everything set up (including gathering passwords and installing dependencies). You must have the Chrome browser installed, and we recommend setting up a Python virtual environment: git clone https://github.com/…
Sparsity-aware deep learning inference runtime for CPUs DeepSparse Sparsity-aware deep learning inference runtime for CPUs DeepSparse is a CPU inference runtime that takes advantage of sparsity to accelerate neural network inference. Coupled with SparseML, our optimization library for pruning and quantizing your models, DeepSparse delivers exceptional inference performance on CPU hardware. ✨NEW✨ DeepSparse LLMs…
An intelligent coding assistant plugin for Visual Studio Code, developed based on CodeShellCodeShell VSCode Extension codeshell-vscode项目是基于CodeShell大模型开发的支持Visual Studio Code的智能编码助手插件，支持python、java、c++/c、javascript、go等多种编程语言，为开发者提供代码补全、代码解释、代码优化、注释生成、对话问答等功能，旨在通过智能化的方式帮助开发者提高编程效率。 环境要求 node版本要要v18及以上 Visual Studio Code版本要求 1.68 及以上 CodeShell 模型服务已启动 编译插件 如果要从源码进行打包，需要安装 node v18 以上版本，并执行以下命令： git clone https://github.com/WisdomShell/codeshell-vscode.git cd codeshell-vscode npm install npm exe…
A series of code large language models developed by PKU-KCL 🤗 Hugging Face • 🌐 PKU-KCL 中文|English Introduction CodeShell是北京大学知识计算实验室联合四川天府银行AI团队研发的多语言代码大模型基座。CodeShell具有70亿参数，在五千亿Tokens进行了训练，上下文窗口长度为8192。在权威的代码评估Benchmark（HumanEval与MBPP）上，CodeShell取得同等规模最好的性能。与此同时，我们提供了与CodeShell配套的部署方案与IDE插件，请参考代码库CodeShell。 本次开源的模型如下： CodeShell Base：CodelShell底座模型，具有强大的代码基础能力。 CodeShell Chat：CodelShell对话模型，在代码问答、代码补全等下游任务重性能优异。 CodeShell Chat 4bit：CodelShell对话模型4bit量化版本，在保证模型性能的前提下内存消耗更小，…
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines. TensorRT-LLM A TensorRT Toolbox for Large Language Models Architecture | Results | Examples | Documentation Table of Contents TensorRT-LLM Overview I…
A Library for Advanced Deep Time Series Models.Time Series Library (TSlib) TSlib is an open-source library for deep learning researchers, especially deep time series analysis. We provide a neat code base to evaluate advanced deep time series models or develop your own model, which covers five mainstream tasks: long- and short-term forecasting, imputation, anomaly detection, and classification. 🚩News (2023.10) We add an official implementation to iTransformer, which is the state-of-the-art model…