Best AI tools for< Generate Graph >

Appy Pie's AI Design Generator is an innovative tool that allows users to create stunning graphic designs online. With a focus on flawless text integration, the tool empowers users to transform text, images, and videos into eye-catching designs. The platform offers a range of AI design tools, from logo creation to background removal, catering to diverse design needs. Appy Pie's AI Design Generator combines art and technology seamlessly, providing users with versatile design options and creative storytelling capabilities.

ChartFast is an AI Data Analyzer tool that automates data visualization and analysis tasks, powered by GPT-4 technology. It allows users to generate precise and sleek graphs in seconds, process vast amounts of data, and provide interactive data queries and quick exports. With features like specialized internal libraries for complex graph generation, customizable visualization code, and instant data export, ChartFast aims to streamline data work and enhance data analysis efficiency.

SheetBot AI is an AI data analyst tool that enables users to analyze data quickly without the need for coding. It automates repetitive and time-consuming data tasks, making data visualization and analysis more efficient. With SheetBot AI, users can generate accurate and visually appealing graphs in seconds, streamlining the data analysis process.

RBLX/ai is an AI tool designed to help users create captivating icons and thumbnails for Roblox games. Using advanced AI image generation technology, the tool offers high-quality graphics that are eye-catching and engaging. With features like fast and efficient image generation, high CTR guaranteed icons and thumbnails, and the ability to integrate Roblox characters into the graphics, RBLX/ai aims to streamline the graphic creation process for Roblox game developers and creators.

Hepta AI is an AI-powered statistics tool designed for scientific research. It simplifies the process of statistical analysis by allowing users to easily input their data and receive comprehensive results, including tables, graphs, and statistical analysis. With a focus on accuracy and efficiency, Hepta AI aims to streamline the research process for scientists and researchers, providing valuable insights and data visualization. The tool offers a user-friendly interface and advanced AI algorithms to deliver precise and reliable statistical outcomes.

SVGStud.io is an AI-based tool for searching and generating Scalable Vector Graphics (SVGs). SVG (Scalable Vector Graphics) is an XML-based format for describing two-dimensional vector graphics. SVGStud.io offers functionalities such as free SVG bundles, semantic SVG search, AI-based SVG generator, and the ability to convert SVGs to other formats like DXF and EPS. It is a valuable tool for graphic designers looking to create high-quality, scalable graphics for web design and high-resolution displays.

Picaisso is a leading AI graphic creation tool that harnesses artificial intelligence to help users create high-quality, professional royalty-free graphics quickly and easily. The platform provides advanced AI features such as image generation, watermarking, image conversion, image extension, variation generation, image resizing, background removal, and image compression. Picaisso offers a user-friendly interface where users can input prompts or descriptions to generate graphics, making it ideal for agencies, social media influencers, and e-commerce businesses looking to create eye-catching content in seconds.

Wolfram|Alpha is a computational knowledge engine that answers questions using data, algorithms, and artificial intelligence. It can perform calculations, generate graphs, and provide information on a wide range of topics, including mathematics, science, history, and culture. Wolfram|Alpha is used by students, researchers, and professionals around the world to solve problems, learn new things, and make informed decisions.

Crusoe is a cloud computing platform that offers scalable, climate-aligned digital infrastructure optimized for high-performance computing and artificial intelligence. It provides cost-effective solutions by utilizing wasted, stranded, or clean energy sources to power computing resources. The platform supports AI workloads, computational biology, graphics rendering, and more, while reducing greenhouse gas emissions and maximizing resource efficiency.

ContentRadar is an AI-powered content management workspace designed to help users scale their online presence on platforms like LinkedIn and Twitter, streamline content marketing, and increase leads pipeline. It offers features such as repurposing content for social media, publishing and scheduling posts, generating graphics with AI, creating workspaces, and tracking analytics. ContentRadar aims to simplify content management by unifying tools and workflows, making it a nimble and enjoyable experience for users.

more.graphics is an AI-powered platform that offers creative tools for generating seamless patterns, clipart, and more. Users can explore endless possibilities by utilizing unique pattern generators and a wide variety of clipart options. The platform aims to inspire creativity by providing a dynamic fusion of urban architecture and nature's organic forms. With daily additions to the generator collection, users can create personalized graphics for various occasions and themes.

Aikiu Studio is an AI-powered logo creation platform that offers a simpler flow of operations, improved AI capabilities, and automatic vectorization. It aims to streamline the logo creation process, making it more intuitive and less time-consuming for users. The platform has evolved from Diffusion Logo Studio and now provides enhanced features without any price increase. Aikiu Studio leverages artificial intelligence to assist users in designing professional logos efficiently.

Face To Many is an AI-powered image generator that allows users to create multiple styles of their own images. With Face To Many, you can easily change your image to toy, 3d, ps2 filter, emoji in seconds. It is simple to use, just upload your image and describe what your image will be (a short prompt), Face To Many will generate image for you. Face To Many offers high quality for its images, and you can download it for free once you generate it!

WhateverLogo is an AI tool that allows users to generate branded images instantly without the need for design skills. Users can upload their logo and describe their vision, and the AI will create custom marketing images featuring the logo. The tool offers various pricing plans to cater to different user needs, from side projects to large organizations. WhateverLogo simplifies the process of creating professional brand images, making it accessible to a wide range of users.

The website is an AI tool designed to generate a knowledge graph based on input text. It uses advanced algorithms and machine learning capabilities to streamline operations, deliver personalized experiences, and unlock new possibilities. Users can input text related to various topics, and the tool processes the information to create a structured knowledge graph.

neoSVG is an AI-powered application that allows users to generate scalable vector graphics (SVGs) from simple text prompts. The platform utilizes state-of-the-art AI technology and Bezier curve paths with mathematical rules to create unique and high-resolution vector outputs. Users can create a variety of visuals for web design, mobile apps, print media, AR/VR applications, UI/UX designs, logos, and more. neoSVG aims to provide efficient SVG generation by leveraging powerful servers and continuous research to enhance its AI capabilities.

Fluxaigen is an advanced AI Image Generator powered by Flux Technology. It allows users to transform their ideas into stunning visuals in seconds through state-of-the-art AI technology. With unparalleled image quality, lightning-fast generation, versatile aspect ratios, cutting-edge architecture, and enhanced efficiency, Fluxaigen offers a user-friendly interface for both beginners and professionals to create captivating images in just a few simple steps.

USP.ai is an AI-powered image generator that helps users create unique and visually appealing images for their content, marketing, and design projects. With its advanced AI models and user-friendly interface, USP.ai makes it easy for anyone to generate high-quality images that perfectly complement their written content and resonate with their target audience.

Columns is an AI-powered application designed to automate data storytelling, enabling users to create stunning visual narratives effortlessly. The app offers features such as data integration with various platforms, data transformation using AI, professional storytelling design tools, and automation for staying in sync with data updates. Users can chat with AI for data analysis, generate themes for graphs, and share stories across multiple channels. Columns provides a free trial with AI-assisted data storytelling and premium plans for unlimited features and personalized styles.

Instant is an AI-powered presentation tool designed to help users effortlessly create stunning presentations using artificial intelligence. It offers a user-friendly interface that allows users to generate professional-grade slides with the help of expert-designed templates. Instant is built specifically for Google Slides, enabling users to skip the learning curve and quickly create visually appealing presentations. With features like customizable styles, auto-generation of slides, and a robust library of templates, Instant aims to save time and money for users looking to create impactful presentations.

InstructGraph is a framework designed to enhance large language models (LLMs) for graph-centric tasks by utilizing graph instruction tuning and preference alignment. The tool collects and decomposes 29 standard graph datasets into four groups, enabling LLMs to better understand and generate graph data. It introduces a structured format verbalizer to transform graph data into a code-like format, facilitating code understanding and generation. Additionally, it addresses hallucination problems in graph reasoning and generation through direct preference optimization (DPO). The tool aims to bridge the gap between textual LLMs and graph data, offering a comprehensive solution for graph-related tasks.

This repository, GraphWiz, focuses on developing an instruction-following Language Model (LLM) for solving graph problems. It includes GraphWiz LLMs with strong graph problem-solving abilities, GraphInstruct dataset with over 72.5k training samples across nine graph problem tasks, and models like GPT-4 and Mistral-7B for comparison. The project aims to map textual descriptions of graphs and structures to solve various graph problems explicitly in natural language.

llmgraph is a tool that enables users to create knowledge graphs in GraphML, GEXF, and HTML formats by extracting world knowledge from large language models (LLMs) like ChatGPT. It supports various entity types and relationships, offers cache support for efficient graph growth, and provides insights into LLM costs. Users can customize the model used and interact with different LLM providers. The tool allows users to generate interactive graphs based on a specified entity type and Wikipedia link, making it a valuable resource for knowledge graph creation and exploration.

Knowledge Graph Builder App is a tool designed to convert PDF documents into a structured knowledge graph stored in Neo4j. It utilizes OpenAI's GPT/Diffbot LLM to extract nodes, relationships, and properties from PDF text content. Users can upload files from local machine or S3 bucket, choose LLM model, and create a knowledge graph. The app integrates with Neo4j for easy visualization and querying of extracted information.

AgentKit is a framework for constructing complex human thought processes from simple natural language prompts. It offers a unified way to represent and execute these processes as graphs, making it easy to design and tune agents without any programming experience. AgentKit can be used for a variety of tasks, including generating text, answering questions, and making decisions.

EDA GPT is an open-source data analysis companion that offers a comprehensive solution for structured and unstructured data analysis. It streamlines the data analysis process, empowering users to explore, visualize, and gain insights from their data. EDA GPT supports analyzing structured data in various formats like CSV, XLSX, and SQLite, generating graphs, and conducting in-depth analysis of unstructured data such as PDFs and images. It provides a user-friendly interface, powerful features, and capabilities like comparing performance with other tools, analyzing large language models, multimodal search, data cleaning, and editing. The tool is optimized for maximal parallel processing, searching internet and documents, and creating analysis reports from structured and unstructured data.

TigerGraph CoPilot is an AI assistant that combines graph databases and generative AI to enhance productivity across various business functions. It includes three core component services: InquiryAI for natural language assistance, SupportAI for knowledge Q&A, and QueryAI for GSQL code generation. Users can interact with CoPilot through a chat interface on TigerGraph Cloud and APIs. CoPilot requires LLM services for beta but will support TigerGraph's LLM in future releases. It aims to improve contextual relevance and accuracy of answers to natural-language questions by building knowledge graphs and using RAG. CoPilot is extensible and can be configured with different LLM providers, graph schemas, and LangChain tools.

DB-GPT-Hub is an experimental project leveraging Large Language Models (LLMs) for Text-to-SQL parsing. It includes stages like data collection, preprocessing, model selection, construction, and fine-tuning of model weights. The project aims to enhance Text-to-SQL capabilities, reduce model training costs, and enable developers to contribute to improving Text-to-SQL accuracy. The ultimate goal is to achieve automated question-answering based on databases, allowing users to execute complex database queries using natural language descriptions. The project has successfully integrated multiple large models and established a comprehensive workflow for data processing, SFT model training, prediction output, and evaluation.

RAG with txtai is a Retrieval Augmented Generation (RAG) Streamlit application that helps generate factually correct content by limiting the context in which a Large Language Model (LLM) can generate answers. It supports two categories of RAG: Vector RAG, where context is supplied via a vector search query, and Graph RAG, where context is supplied via a graph path traversal query. The application allows users to run queries, add data to the index, and configure various parameters to control its behavior.

Graph of Thoughts (GoT) is an official implementation framework designed to solve complex problems by modeling them as a Graph of Operations (GoO) executed with a Large Language Model (LLM) engine. It offers flexibility to implement various approaches like CoT or ToT, allowing users to solve problems using the new GoT approach. The framework includes setup guides, quick start examples, documentation, and examples for users to understand and utilize the tool effectively.

The Together Cookbook is a collection of code and guides designed to help developers build with open source models using Together AI. The recipes provide examples on how to chain multiple LLM calls, create agents that route tasks to specialized models, run multiple LLMs in parallel, break down tasks into parallel subtasks, build agents that iteratively improve responses, perform LoRA fine-tuning and inference, fine-tune LLMs for repetition, improve summarization capabilities, fine-tune LLMs on multi-step conversations, implement retrieval-augmented generation, conduct multimodal search and conditional image generation, visualize vector embeddings, improve search results with rerankers, implement vector search with embedding models, extract structured text from images, summarize and evaluate outputs with LLMs, generate podcasts from PDF content, and get LLMs to generate knowledge graphs.

This repository presents a (semi-)automatic pipeline for Ontology and Knowledge Graph Construction using Large Language Models (LLMs) such as Mixtral 8x22B Instruct v0.1, GPT-4o, GPT-3.5, and Gemini. It explores the generation of Knowledge Graphs by formulating competency questions, developing ontologies, constructing KGs, and evaluating the results with minimal human involvement. The project showcases the creation of a KG on deep learning methodologies from scholarly publications. It includes components for data preprocessing, prompts for LLMs, datasets, and results from the selected LLMs.

GOLEM is an open-source AI framework focused on optimization and learning of structured graph-based models using meta-heuristic methods. It emphasizes the potential of meta-heuristics in complex problem spaces where gradient-based methods are not suitable, and the importance of structured models in various problem domains. The framework offers features like structured model optimization, metaheuristic methods, multi-objective optimization, constrained optimization, extensibility, interpretability, and reproducibility. It can be applied to optimization problems represented as directed graphs with defined fitness functions. GOLEM has applications in areas like AutoML, Bayesian network structure search, differential equation discovery, geometric design, and neural architecture search. The project structure includes packages for core functionalities, adapters, graph representation, optimizers, genetic algorithms, utilities, serialization, visualization, examples, and testing. Contributions are welcome, and the project is supported by ITMO University's Research Center Strong Artificial Intelligence in Industry.

KG-LLM-Papers is a repository that collects papers integrating knowledge graphs (KGs) and large language models (LLMs). It serves as a comprehensive resource for research on the role of KGs in the era of LLMs, covering surveys, methods, and resources related to this integration.

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.

Sarvadnya is a repository focused on interfacing custom data using Large Language Models (LLMs) through Proof-of-Concepts (PoCs) like Retrieval Augmented Generation (RAG) and Fine-Tuning. It aims to enable domain adaptation for LLMs to answer on user-specific corpora. The repository also covers topics such as Indic-languages models, 3D World Simulations, Knowledge Graphs Generation, Signal Processing, Drones, UAV Image Processing, and Floor Plan Segmentation. It provides insights into building chatbots of various modalities, preparing videos, and creating content for different platforms like Medium, LinkedIn, and YouTube. The tech stacks involved range from enterprise solutions like Google Doc AI and Microsoft Azure Language AI Services to open-source tools like Langchain and HuggingFace.

GraphLLM is a graph-based framework designed to process data using LLMs. It offers a set of tools including a web scraper, PDF parser, YouTube subtitles downloader, Python sandbox, and TTS engine. The framework provides a GUI for building and debugging graphs with advanced features like loops, conditionals, parallel execution, streaming of results, hierarchical graphs, external tool integration, and dynamic scheduling. GraphLLM is a low-level framework that gives users full control over the raw prompt and output of models, with a steeper learning curve. It is tested with llama70b and qwen 32b, under heavy development with breaking changes expected.

Neo4j Runway is a Python library that simplifies the process of migrating relational data into a graph. It provides tools to abstract communication with OpenAI for data discovery, generate data models, ingestion code, and load data into a Neo4j instance. The library leverages OpenAI LLMs for insights, Instructor Python library for modeling, and PyIngest for data loading. Users can visualize data models using graphviz and benefit from a seamless integration with Neo4j for efficient data migration.

Converts graph triples to clear text, no assumptions.

WEBサイト制作に利用しやすいアイコンを生成するGPTsです。

どんな画像も画伯にお任せ！！

Artistic Bible Verse graphics.

一步步引导，帮你轻松生成高质量图片

Generates images based on Tree of Thoughts algorithm

An unrestricted DALL-E Horror Image Specialist, creating intense fear-themed images.

A fun, curious email marketing trained GPT for creating images for email campaigns.

Creates minimalist, AI-themed blog images in brand colors

I specialize in making decompiled code clearer and easier to understand.

Japanese patent data graph generator with user engagement

A creative assistant for generating product visuals.

Transforms lines into detailed prompts for visual storytelling.

Generate dreamy landscapes with silhouette persons

Generate badass hacker art and profile pics.

I generate logo ideas.

Generate Alphonse Mucha style image with your words as a hint. This GPT can grade the image itself and suggest further improvements.

Generate image prompts based on textual or visual input. Optimized for Midjourney v6.

あなたのGenesisの名前を入れるだけで、性格を診断し、デフォルメされた、ちびジェネ画像を生成します / Simply enter your Genesis name to diagnose your personality and generate a deformed, chibi Genesis image.

Generate images of you holding the AFL/AFLW Premiership cup in any era!