Search Results for "multi-layer perceptron python"

Claude-Flow v2 Alpha is an advanced AI orchestration and automation framework designed for enterprise-grade, large-scale AI-driven development. It enables developers to coordinate multiple specialized AI agents in real time through a hive-mind architecture, combining swarm intelligence, neural reasoning, and a powerful set of 87 Modular Control Protocol (MCP) tools. The platform supports both quick swarm tasks and persistent multi-agent sessions known as hives, facilitating distributed AI...

windsurf.vim is a plugin for Vim and Neovim by Exafunction (formerly part of the Codeium project) that brings in AI-driven code completion and assistance capabilities. The aim is to provide a “free, ultrafast” alternative to other AI code assistants (such as GitHub Copilot) directly within Vim/Neovim. Once installed and configured, windsurf.vim can suggest code completions, generate multi-line snippets based on comments or invitation in code, and make the editing experience more predictive...

MicroBurst is a PowerShell toolkit from NetSPI focused on assessing Microsoft Azure security by automating discovery, enumeration, and targeted auditing of cloud services and configurations. It bundles many functions to enumerate Azure resources (subscriptions, VMs, storage accounts, container registries, App Services and more), probe common misconfigurations, and harvest sensitive artifacts when available (for example storage blobs, keys, automation account credentials, and other...

sRDI is a compact project that implements a shellcode form of Reflective DLL Injection, enabling DLLs to be converted into position-independent shellcode and loaded in memory by a small in-process PE loader. The codebase groups a C implementation of a reflective PE loader with multiple loader/wrapper components (native C loader, a .NET loader, Python and PowerShell conversion helpers) so authors can produce and embed sRDI blobs in different environments. The loader aims to behave like a...

This repository collects practical, real-world examples of using Ansible to automate infrastructure, deployments, and configurations. Each directory demonstrates a specific use case—ranging from setting up web servers, load balancers, and databases to orchestrating multi-tier applications in cloud environments. The examples highlight common Ansible practices such as organizing inventories, writing reusable playbooks, using roles, and handling variables and templates. They’re designed to be...