Best AI tools for< Analyze Network Structure >

Manus is a general AI agent that excels at various tasks in work and life, bridging minds and actions to deliver results. It integrates comprehensive travel information, conducts in-depth stock analysis, develops engaging educational content, generates structured comparison tables, and conducts comprehensive research across extensive networks. Manus works exclusively in the user's best interest, providing actionable insights, visualizations, and customized strategies to increase performance.

DealGraph is an AI-powered platform that helps users explore business networks by leveraging hidden relationships among organizations. By analyzing unstructured texts and images, DealGraph provides Relationship Intelligence, allowing users to gain instant knowledge of connections their prospects, customers, or competitors have with other organizations. The platform offers Relationship Alerts to notify users of new relationships, enabling them to uncover crucial insights and opportunities without the need for extensive research. DealGraph also features a Relationship Graph that visualizes organization networks through interactive graphs, answering key questions about market dynamics, customer relationships, industry trends, and supply chain structures. It caters to various users, including sales teams for prospecting, investors for company research, and corporate development teams for market overviews.

LatenceTech is a tech startup that specializes in network latency monitoring and analysis. The platform offers real-time monitoring, prediction, and in-depth analysis of network latency using AI software. It provides cloud-based network analytics, versatile network applications, and data science-driven network acceleration. LatenceTech focuses on customer satisfaction by providing full customer experience service and expert support. The platform helps businesses optimize network performance, minimize latency issues, and achieve faster network speed and better connectivity.

Subex is a Telecom AI company that enables Connected Experiences for CFOs, CTOs, and CMOs. With over 25 years of experience, Subex helps Communications Service Providers (CSPs) worldwide maximize revenues and profitability by leveraging AI to create connected experiences in business ecosystems. The company offers AI solutions, including Business Assurance, Fraud and Security management, Network Analytics, Enterprise Cybersecurity, Enterprise Billing, and more. Subex is trusted by over 75% of the world's top 50 telcos and provides a range of industry-leading solutions to enhance operational efficiency and effectiveness.

MixMode is the world's most advanced AI for threat detection, offering a dynamic threat detection platform that utilizes patented Third Wave AI technology. It provides real-time detection of known and novel attacks with high precision, self-supervised learning capabilities, and context-awareness to defend against modern threats. MixMode empowers modern enterprises with unprecedented speed and scale in threat detection, delivering unrivaled capabilities without the need for predefined rules or human input. The platform is trusted by top security teams and offers rapid deployment, customization to individual network dynamics, and state-of-the-art AI-driven threat detection.

SecureWoof is an AI-powered malware scanner that utilizes advanced technologies such as Yara rules, Retdec unpacker, Ghidra decompiler, clang-tidy formatter, FastText embedding, and RoBERTa transformer network to analyze executable files for malicious content. The tool is trained on the SOREL-20M malware dataset to provide accurate results. SecureWoof offers a public API for easy integration and is free to use.

The website offers interactive tutorials on neural networks and deep learning, providing a comprehensive platform for mastering neural networks in an intuitive, natural, and cohesive manner. Users can access a visualized neural network lab with simplified datasets, a variety of 2D and 3D datasets for regression and classification, and interactive missions to deepen understanding. The platform also features intuitive tutorials, well-visualized neural network knowledge with charts and animations, and a visual deep learning model editor for efficient model building. Overall, it aims to enhance learning and understanding of neural networks through interactive and visual tools.

Guru Network App is an AI-powered platform that leverages blockchain technology to automate processes and provide rewards. The platform offers a new AI DexGuru, with access to the old DexGuru available through a legacy link. Users can engage in various actions on the platform, with a focus on analytics, token swapping, and leaderboard tracking. The platform aims to provide a seamless and efficient experience for users interested in blockchain technologies and decentralized finance.

CUJO AI is a global leader in cutting-edge cybersecurity and network intelligence solutions for network operators. The platform offers a range of services including Operator Intelligence, Digital Life Protection, and AI Platform. CUJO AI empowers network operators to enhance digital life protection for their customers both at home and on the go. By leveraging AI-powered cybersecurity, CUJO AI enables operators to improve customer value proposition, monetize networks, and reduce operating complexity and costs.

ITVA is an AI automation tool for network infrastructure products that revolutionizes network management by enabling users to configure, query, and document their network using natural language. It offers features such as rapid configuration deployment, network diagnostics acceleration, automated diagram generation, and modernized IP address management. ITVA's unique solution securely connects to networks, combining real-time data with a proprietary dataset curated by veteran engineers. The tool ensures unparalleled accuracy and insights through its real-time data pipeline and on-demand dynamic analysis capabilities.

Collab is a contact center software that enables digital transformation and helps achieve the right balance between Automation and Human Interaction. It provides enhanced experiences, resolves customer issues quickly and easily, fosters strong and trusty relationships, turns data into powerful insights, and empowers agents. Collab relies on its omnichannel solution, AI, CRM integration, data-driven insights, and empowered teams to provide seamless experiences.

Linkeddit is an AI-powered tool designed to help users find potential customers on Reddit who are actively seeking solutions. By analyzing millions of conversations in real-time, Linkeddit identifies high-intent prospects discussing relevant product categories. The tool provides curated lists of decision-makers with verified buying intent, engagement metrics, and context to help convert warm leads into customers. Linkeddit also offers features like direct post links, engagement metrics, buying intent score, export-ready lists, and personalized outreach suggestions, enabling users to efficiently connect with the right audience on Reddit.

Intail AI is a relationship-driven growth AI tool that leverages organizational collective networks to fuel scalable business growth. It helps dealmakers find new market opportunities by focusing on meaningful relationships. The tool provides client relationship intelligence, prioritizes contacts, and enables scalable and repeatable processes driven by the collective organizational network.

LiberalAI is a cutting-edge decentralized AI platform and network that empowers users to access advanced AI capabilities in a secure and transparent manner. By leveraging blockchain technology, LiberalAI ensures data privacy and integrity while enabling seamless collaboration and innovation in the AI space. The platform offers a wide range of AI tools and services, making it a one-stop solution for individuals and businesses looking to harness the power of artificial intelligence for various applications.

EHVA.ai is a Conversational AI tool that combines heart and science to create a unique AI experience. It offers AI phone technology that talks to people by phone to achieve various goals. EHVA.ai provides non-conversational features like AI Backstopping and AI Looking Glass, enhancing productivity and accuracy in different industries. The application aims to bridge the gap between human interaction and AI technology, offering a human-like experience with the efficiency of artificial intelligence.

PR Daily is an AI-powered platform that empowers PR professionals with the latest news, insights, and networking opportunities. It provides a comprehensive resource for industry trends, best practices, and expert advice to enhance communication strategies and campaigns. The platform utilizes artificial intelligence to deliver personalized content, analyze data, and optimize media relations workflows. PR Daily aims to streamline PR processes, improve brand reputation, and drive engagement through innovative AI technologies.

Podify is an AI-driven platform designed to help users grow their network through micro-communities. The platform leverages artificial intelligence to connect users with like-minded individuals and facilitate meaningful interactions. Users can discover new connections, engage in relevant discussions, and expand their network in a targeted and efficient manner. Podify offers a user-friendly interface and personalized recommendations to enhance the networking experience.

Revisor is a neural network-based software package designed for monitoring compliance with electoral procedures and counting the number of actual voters. It utilizes AI-enabled monitoring to provide fast, reliable, and cost-effective election observation missions with high precision in voter counting. The system is trainable and can work with different types of voting procedures and electoral systems in any country. Revisor operates based on video recordings, allowing immediate results after an election or even months and years later.

LAION is a non-profit organization that provides datasets, tools, and models to advance machine learning research. The organization's goal is to promote open public education and encourage the reuse of existing datasets and models to reduce the environmental impact of machine learning research.

Fuk.ai is a hate speech and profanity detection tool that utilizes Transformer-based neural network architectures with advanced natural language processing capabilities to filter out hate, bigotry, and profanity from online content. It offers a free software pricing model and allows users to analyze up to 1,000 characters for free. By creating an account, users can analyze up to 10,000 characters per month. Fuk.ai can be integrated into user-generated apps and websites to maintain a positive online environment.

Awesome-Attention-Heads is a platform providing the latest research on Attention Heads, focusing on enhancing understanding of Transformer structure for model interpretability. It explores attention mechanisms for behavior, inference, and analysis, alongside feed-forward networks for knowledge storage. The repository aims to support researchers studying LLM interpretability and hallucination by offering cutting-edge information on Attention Head Mining.

AIKA (Artificial Intelligence for Knowledge Acquisition) is a new type of artificial neural network designed to mimic the behavior of a biological brain more closely and bridge the gap to classical AI. The network conceptually separates activations from neurons, creating two separate graphs to represent acquired knowledge and inferred information. It uses different types of neurons and synapses to propagate activation values, binding signals, causal relations, and training gradients. The network structure allows for flexible topology and supports the gradual population of neurons and synapses during training.

A bot that plays Tetris using deep reinforcement learning. The agent learns to play by training itself with a neural network and Q Learning algorithm. It explores different 'paths' to achieve higher scores and makes decisions based on predicted scores for possible moves. The game state includes attributes like lines cleared, holes, bumpiness, and total height. The agent is implemented in Python using Keras framework with a deep neural network structure. Training involves a replay queue, random sampling, and optimization techniques. Results show the agent's progress in achieving higher scores over episodes.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

ChatAFL is a protocol fuzzer guided by large language models (LLMs) that extracts machine-readable grammar for protocol mutation, increases message diversity, and breaks coverage plateaus. It integrates with ProfuzzBench for stateful fuzzing of network protocols, providing smooth integration. The artifact includes modified versions of AFLNet and ProfuzzBench, source code for ChatAFL with proposed strategies, and scripts for setup, execution, analysis, and cleanup. Users can analyze data, construct plots, examine LLM-generated grammars, enriched seeds, and state-stall responses, and reproduce results with downsized experiments. Customization options include modifying fuzzers, tuning parameters, adding new subjects, troubleshooting, and working on GPT-4. Limitations include interaction with OpenAI's Large Language Models and a hard limit of 150,000 tokens per minute.

The Agentic Radar is a security scanner designed to analyze and assess agentic systems for security and operational insights. It helps users understand how agentic systems function, identify potential vulnerabilities, and create security reports. The tool includes workflow visualization, tool identification, and vulnerability mapping, providing a comprehensive HTML report for easy reviewing and sharing. It simplifies the process of assessing complex workflows and multiple tools used in agentic systems, offering a structured view of potential risks and security frameworks.

ONNX Runtime Server is a server that provides TCP and HTTP/HTTPS REST APIs for ONNX inference. It aims to offer simple, high-performance ML inference and a good developer experience. Users can provide inference APIs for ONNX models without writing additional code by placing the models in the directory structure. Each session can choose between CPU or CUDA, analyze input/output, and provide Swagger API documentation for easy testing. Ready-to-run Docker images are available, making it convenient to deploy the server.

The 'awesome-AI4MolConformation-MD' repository focuses on protein conformations and molecular dynamics using generative artificial intelligence and deep learning. It provides resources, reviews, datasets, packages, and tools related to AI-driven molecular dynamics simulations. The repository covers a wide range of topics such as neural networks potentials, force fields, AI engines/frameworks, trajectory analysis, visualization tools, and various AI-based models for protein conformational sampling. It serves as a comprehensive guide for researchers and practitioners interested in leveraging AI for studying molecular structures and dynamics.

AutoPilot Observability (APO) is an out-of-the-box observability platform that provides one-click installation and ready-to-use capabilities. APO's OneAgent supports one-click configuration-free installation of Tracing probes, collects application fault scene logs, infrastructure metrics, network metrics of applications and downstream dependencies, and Kubernetes events. It supports collecting causality metrics based on eBPF implementation. APO integrates OpenTelemetry probes, otel-collector, Jaeger, ClickHouse, and VictoriaMetrics, reducing user configuration work. APO innovatively integrates eBPF technology with the OpenTelemetry ecosystem, significantly reducing data storage volume. It offers guided troubleshooting using eBPF technology to assist users in pinpointing fault causes on a single page.

Awesome-Graph-LLM is a curated collection of research papers exploring the intersection of graph-based techniques with Large Language Models (LLMs). The repository aims to bridge the gap between LLMs and graph structures prevalent in real-world applications by providing a comprehensive list of papers covering various aspects of graph reasoning, node classification, graph classification/regression, knowledge graphs, multimodal models, applications, and tools. It serves as a valuable resource for researchers and practitioners interested in leveraging LLMs for graph-related tasks.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

Fabric is an open-source framework for augmenting humans using AI. It provides a structured approach to breaking down problems into individual components and applying AI to them one at a time. Fabric includes a collection of pre-defined Patterns (prompts) that can be used for a variety of tasks, such as extracting the most interesting parts of YouTube videos and podcasts, writing essays, summarizing academic papers, creating AI art prompts, and more. Users can also create their own custom Patterns. Fabric is designed to be easy to use, with a command-line interface and a variety of helper apps. It is also extensible, allowing users to integrate it with their own AI applications and infrastructure.

Resume Job Matcher is a Python script that automates the process of matching resumes to a job description using AI. It leverages the Anthropic Claude API or OpenAI's GPT API to analyze resumes and provide a match score along with personalized email responses for candidates. The tool offers comprehensive resume processing, advanced AI-powered analysis, in-depth evaluation & scoring, comprehensive analytics & reporting, enhanced candidate profiling, and robust system management. Users can customize font presets, generate PDF versions of unified resumes, adjust logging level, change scoring model, modify AI provider, and adjust AI model. The final score for each resume is calculated based on AI-generated match score and resume quality score, ensuring content relevance and presentation quality are considered. Troubleshooting tips, best practices, contribution guidelines, and required Python packages are provided.

Open WebUI Tools Collection is a set of tools for structured planning, arXiv paper search, Hugging Face text-to-image generation, prompt enhancement, and multi-model conversations. It enhances LLM interactions with academic research, image generation, and conversation management. Tools include arXiv Search Tool and Hugging Face Image Generator. Function Pipes like Planner Agent offer autonomous plan generation and execution. Filters like Prompt Enhancer improve prompt quality. Installation and configuration instructions are provided for each tool and pipe.

DOM to Semantic Markdown is a tool that converts HTML DOM to Semantic Markdown for use in Large Language Models (LLMs). It maximizes semantic information, token efficiency, and preserves metadata to enhance LLMs' processing capabilities. The tool captures rich web content structure, including semantic tags, image metadata, table structures, and link destinations. It offers customizable conversion options and supports both browser and Node.js environments.

LionAGI is a powerful intelligent workflow automation framework that introduces advanced ML models into any existing workflows and data infrastructure. It can interact with almost any model, run interactions in parallel for most models, produce structured pydantic outputs with flexible usage, automate workflow via graph based agents, use advanced prompting techniques, and more. LionAGI aims to provide a centralized agent-managed framework for "ML-powered tools coordination" and to dramatically lower the barrier of entries for creating use-case/domain specific tools. It is designed to be asynchronous only and requires Python 3.10 or higher.

Voice Chat AI is a project that allows users to interact with different AI characters using speech. Users can choose from various characters with unique personalities and voices, and have conversations or role play with them. The project supports OpenAI, xAI, or Ollama language models for chat, and provides text-to-speech synthesis using XTTS, OpenAI TTS, or ElevenLabs. Users can seamlessly integrate visual context into conversations by having the AI analyze their screen. The project offers easy configuration through environment variables and can be run via WebUI or Terminal. It also includes a huge selection of built-in characters for engaging conversations.

The 100 Days in AI repository provides a comprehensive roadmap for individuals to learn Artificial Intelligence over a period of 100 days. It covers topics ranging from basic programming in Python to advanced concepts in AI, including machine learning, deep learning, and specialized AI topics. The repository includes daily tasks, resources, and exercises to ensure a structured learning experience. By following this roadmap, users can gain a solid understanding of AI and be prepared to work on real-world AI projects.

Propagation Analysis over Graphs

Your go-to source for Impacket documentation

A tool to help you decide if a website is part of a PBN or link network, created solely for link building. >> Get in touch with Gareth if you need a Freelance SEO for link building <<

Provides up to date SEI Network Info, including market data

I'm designed to help You analyze any logs like Linux system logs, Windows logs, any security logs, access logs, error logs, etc. Please do not share information that You would like to keep private. The author does not collect or process any personal data.

Neural Network Master V2.0

Manages and utilizes user-provided information for social networking.

I explain basic concepts and analyze code in distributed systems.

Translates network issues into Wireshark filter syntax.

help organizations in investigating computer security incidents and troubleshooting some information technology (IT) operational problems by providing practical guidance on performing computer and network forensics.

一款基于深度神经网络预测给出中国A股股票买入建议的智能投资顾问 An intelligent investment advisor based on deep neural network for predicting buy recommendations for Chinese A-share stocks.

Expert in host monitoring setup, providing seamless network monitoring solutions.

An expert in video from classic to future neural network compression

CS 144 计算机网络 TCP代码解释器

Expert in data encoding schemes

To master Unified Communications Data across platforms like Cisco, Avaya, Mitel, and Microsoft Teams, by orchestrating a team of expert agents and providing actionable solutions.

Expert in Zero Trust security, providing insights and guidance.

🏭 Professional IP analysis and identification

Explore call detail records (CDR) for a variety of PBX platforms including Avaya, Mitel, NEC, and others with this UC trained GPT. Use specific commands to help you expertly navigate and troubleshoot CDR from diverse UC environments.

Aids in RF system analysis and antenna optimization.