Best AI tools for< Solve Graph Problems >

Math.bot is an advanced AI math solver powered by GPT-4o, offering fast and accurate solutions to a wide range of math problems. The platform integrates leading technologies like Microsoft Math Solver, providing free and user-friendly services accessible via web and mobile apps. Users can solve math equations and word problems with detailed step-by-step guidance, upload math problems for instant AI-assisted solutions, and engage with an interactive ChatGPT math solver for dynamic learning experiences.

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.

Julius AI is an advanced AI data analyst tool that allows users to analyze data with computational AI, chat with files to get expert-level insights, create sleek data visualizations, perform modeling and predictive forecasting, solve math, physics, and chemistry problems, generate polished analyses and summaries, save time by automating data work, and unlock statistical modeling without complexity. It offers features like generating visualizations, asking data questions, effortless cleaning, instant data export, creating animations, and supercharging data analysis. Julius AI is loved by over 1,200,000 users worldwide and is designed to help knowledge workers make the most out of their data.

College Tools is an AI-powered homework solver that provides instant, expert help to students. It can answer questions from any website, including those without specialized support, and is fully integrated with Learning Management Systems (LMS) such as McGraw Hill Connect, Blackboard, Canvas, Smartbook, Moodle, and many others. College Tools also offers advanced recognition features that allow users to capture and analyze graphs and image-based questions, and provides detailed step-by-step guidance for each question. The tool is designed to help students improve their understanding and academic results.

Math Sniper is an AI-powered application designed to provide precise math solutions, exam preparation assistance, and exploration of mathematical concepts. The app offers step-by-step solutions to math challenges at all levels, connects users with math tutors for personalized help, and covers a wide range of subjects beyond mathematics, such as biology, chemistry, physics, history, economics, and language tasks. With features like Snap & Ask for instant answers, step-by-step explanations, and a user-friendly interface, Math Sniper aims to enhance users' understanding of complex concepts and facilitate learning in various disciplines.

Solve Intelligence is an AI-powered platform designed to assist legal professionals in writing high-quality patents efficiently. The platform offers an in-browser document editor that leverages generative AI to streamline the patent drafting process. With a focus on security and confidentiality, Solve Intelligence ensures that all data is encrypted and not used for AI model training. Trusted by IP teams globally, the platform enables users to customize their drafting style and increase the efficiency of their IP team.

Solve For X is an AI tool that empowers growth stage organizations by leveraging AI and data solutions to enhance operations, efficiency, and decision-making. The platform offers AI consulting services, data analysis and reporting, automation solutions, and custom AI models to help organizations achieve measurable impact and value through seamlessly integrated AI technologies. With a focus on empowering businesses with innovative AI solutions, Solve For X aims to help organizations successfully implement AI and data solutions into their operations by 2028.

Whimsical is an iterative workspace designed for product teams to collaborate effectively. It offers a range of tools such as flowcharts, wireframes, mind maps, and documentation features to streamline project workflows. With Whimsical, users can generate diagrams quickly, brainstorm ideas visually, and create a single source of truth for every project. The platform aims to enhance clarity, shared understanding, and productivity for product teams by providing contextual toolbars, sticky notes, and an infinite canvas for collaboration.

NuMind is an AI tool designed to solve information extraction tasks efficiently. It offers high-quality lightweight models tailored to users' needs, automating classification, entity recognition, and structured extraction. The tool is powered by task-specific and domain-agnostic foundation models, outperforming GPT-4 and similar models. NuMind provides solutions for various industries such as insurance and healthcare, ensuring privacy, cost-effectiveness, and faster NLP projects.

MathSolver.top is an AI math solver and personalized math tutor application that offers a free platform for solving math problems with high accuracy. Users can upload math questions and receive step-by-step answers instantly. The application includes features like Homework Helper Mode, Tutor/Learner Mode, and the ability to scan/upload/copy math problems for quick solutions. It provides personalized progressive learning through AI-generated study sets and smart recommendations for daily tasks. MathSolver aims to enhance math learning by offering a user-friendly interface and efficient problem-solving capabilities.

Subscribr is an AI tool designed exclusively for YouTube scriptwriting, aiming to revolutionize the script creation process by providing fast ideation, high-quality research, scriptwriting on easy mode, instant feedback, and the ability to remix proven viral videos. Founded by Gil Hildebrand, Subscribr addresses the common challenges faced by content creators on YouTube, offering a solution that streamlines the scriptwriting workflow and enhances the overall quality of video content.

SadCaptcha is an AI-powered tool designed to solve TikTok Captcha challenges efficiently. It offers a fast, accurate, and simple solution to bypass the puzzle slide, image rotate, and 3D shapes challenges on TikTok. The tool provides a Python client for easy integration and works with any programming language. With a high success rate and instant response using advanced AI computer vision algorithms, SadCaptcha helps users automate TikTok tasks without barriers.

MyMathSolver.ai is an AI math solver powered by Math GPT models like GPT-4o, providing comprehensive assistance across various math topics. Users can easily access detailed, step-by-step solutions to complex math problems using versatile input methods such as text, images, PDFs, or CSV files. The platform offers interactive problem-solving through a math AI bot and ensures accessibility on various devices and operating systems. With features like math AI bot, math solver online free access, and math GPT for advanced solutions, MyMathSolver.ai transforms the learning journey for students and math enthusiasts.

Open Tutor App is an AI-powered Homework Helper designed to assist students in solving homework questions efficiently. The app allows users to take a photo of their homework, which is then analyzed by AI to provide step-by-step solutions and explanations. With features like scanning and solving homework questions, Open Tutor App aims to enhance learning experiences and boost academic performance. The application is available for download on Google Play, App Store, and Web platforms.

Math.now is a free online math AI solver powered by Math GPT, offering instant, step-by-step solutions for a wide range of mathematical problems. Users can input math problems or upload photos for analysis, interact with the math AI bot for explanations, and receive real-time assistance. The application supports algebra, geometry, calculus, and word problems, providing detailed guidance and personalized learning experiences. Math.now's AI solver ensures accuracy, efficiency, and accessibility for students, educators, and self-learners.

Meta AI is a research lab dedicated to advancing the field of artificial intelligence. Our mission is to build foundational AI technologies that will solve some of the world's biggest challenges, such as climate change, disease, and poverty.

Google.org is a philanthropic organization that aims to bring the best of Google to help solve humanity's biggest challenges. They combine funding, innovation, and technical expertise to support underserved communities and provide opportunities for everyone. The organization focuses on using AI to address various issues, such as increasing college graduation rates, supporting robotics programs for middle schoolers, and funding projects that align with the UN's Sustainable Development Goals. Google.org is committed to making long-term investments in social impact initiatives, including racial justice and COVID-19 relief efforts. They collaborate with innovative nonprofits and social enterprises to amplify their impact using Google's resources.

The Institute for Protein Design is a research institute at the University of Washington that uses computational design to create new proteins that solve modern challenges in medicine, technology, and sustainability. The institute's research focuses on developing new protein therapeutics, vaccines, drug delivery systems, biological devices, self-assembling nanomaterials, and bioactive peptides. The institute also has a strong commitment to responsible AI development and has developed a set of principles to guide its use of AI in research.

CapSolver is an AI-powered captcha solving service that offers seamless automatic captcha solving through its Auto Web Unblock technology. The platform provides solutions for image recognition and Optical Character Recognition (OCR) using artificial intelligence and machine learning. CapSolver aims to expand the possibilities in technology-driven environments by leveraging AI in various areas such as web testing, social media data collection, market research, SEO, online shopping, online gaming, and financial services. The service ensures easy integration with multiple language support, ready-to-use code examples, and a range of pricing options for different types of captchas.

TutorEva is an AI-powered homework helper and tutor designed to assist college students with various subjects. It offers features such as AI homework solving, essay writing, course material integration, problem-solving, and personalized tutoring. With cutting-edge AI technology, TutorEva provides accurate solutions and explanations to help students excel in their academic endeavors.

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.

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.

This repository is a collection of papers on leveraging Large Language Models (LLMs) in Graph Tasks. It provides a comprehensive overview of how LLMs can enhance graph-related tasks by combining them with traditional Graph Neural Networks (GNNs). The integration of LLMs with GNNs allows for capturing both structural and contextual aspects of nodes in graph data, leading to more powerful graph learning. The repository includes summaries of various models that leverage LLMs to assist in graph-related tasks, along with links to papers and code repositories for further exploration.

A collection of papers and resources about Large Language Models (LLM) for Graph Learning (Graph). Integrating LLMs with graph learning techniques to enhance performance in graph learning tasks. Categorizes approaches based on four primary paradigms and nine secondary-level categories. Valuable for research or practice in self-supervised learning for recommendation systems.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

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.

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.

DB-GPT is a personal database administrator that can solve database problems by reading documents, using various tools, and writing analysis reports. It is currently undergoing an upgrade. **Features:** * **Online Demo:** * Import documents into the knowledge base * Utilize the knowledge base for well-founded Q&A and diagnosis analysis of abnormal alarms * Send feedbacks to refine the intermediate diagnosis results * Edit the diagnosis result * Browse all historical diagnosis results, used metrics, and detailed diagnosis processes * **Language Support:** * English (default) * Chinese (add "language: zh" in config.yaml) * **New Frontend:** * Knowledgebase + Chat Q&A + Diagnosis + Report Replay * **Extreme Speed Version for localized llms:** * 4-bit quantized LLM (reducing inference time by 1/3) * vllm for fast inference (qwen) * Tiny LLM * **Multi-path extraction of document knowledge:** * Vector database (ChromaDB) * RESTful Search Engine (Elasticsearch) * **Expert prompt generation using document knowledge** * **Upgrade the LLM-based diagnosis mechanism:** * Task Dispatching -> Concurrent Diagnosis -> Cross Review -> Report Generation * Synchronous Concurrency Mechanism during LLM inference * **Support monitoring and optimization tools in multiple levels:** * Monitoring metrics (Prometheus) * Flame graph in code level * Diagnosis knowledge retrieval (dbmind) * Logical query transformations (Calcite) * Index optimization algorithms (for PostgreSQL) * Physical operator hints (for PostgreSQL) * Backup and Point-in-time Recovery (Pigsty) * **Continuously updated papers and experimental reports** This project is constantly evolving with new features. Don't forget to star ⭐ and watch 👀 to stay up to date.

The `mystic` framework provides a collection of optimization algorithms and tools that allow the user to robustly solve hard optimization problems. It offers fine-grained power to monitor and steer optimizations during the fit processes. Optimizers can advance one iteration or run to completion, with customizable stop conditions. `mystic` optimizers share a common interface for easy swapping without writing new code. The framework supports parameter constraints, including soft and hard constraints, and provides tools for scientific machine learning, uncertainty quantification, adaptive sampling, nonlinear interpolation, and artificial intelligence. `mystic` is actively developed and welcomes user feedback and contributions.

Agentless is an open-source tool designed for automatically solving software development problems. It follows a two-phase process of localization and repair to identify faults in specific files, classes, and functions, and generate candidate patches for fixing issues. The tool is aimed at simplifying the software development process by automating issue resolution and patch generation.

HybridAGI is the first Programmable LLM-based Autonomous Agent that lets you program its behavior using a **graph-based prompt programming** approach. This state-of-the-art feature allows the AGI to efficiently use any tool while controlling the long-term behavior of the agent. Become the _first Prompt Programmers in history_ ; be a part of the AI revolution one node at a time! **Disclaimer: We are currently in the process of upgrading the codebase to integrate DSPy**

wcgw is a shell and coding agent designed for Claude and Chatgpt. It provides full shell access with no restrictions, desktop control on Claude for screen capture and control, interactive command handling, large file editing, and REPL support. Users can use wcgw to create, execute, and iterate on tasks, such as solving problems with Python, finding code instances, setting up projects, creating web apps, editing large files, and running server commands. Additionally, wcgw supports computer use on Docker containers for desktop control. The tool can be extended with a VS Code extension for pasting context on Claude app and integrates with Chatgpt for custom GPT interactions.

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.

AI Gallery is a showcase site built using React and Nextjs for static site generation, featuring interactive visualizations of classic algorithms, classic games implementation, and various interesting widgets. The project utilizes AI assistance from Claude 3.5 and GPT-4 to create components and enhance the development process. It aims to continually add more components with AI assistance, providing a platform for contributors to leverage AI in frontend development.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

WDoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It supports querying tens of thousands of documents simultaneously, offers tailored summaries to efficiently manage large amounts of information, and includes features like supporting multiple file types, various LLMs, local and private LLMs, advanced RAG capabilities, advanced summaries, trust verification, markdown formatted answers, sophisticated embeddings, extensive documentation, scriptability, type checking, lazy imports, caching, fast processing, shell autocompletion, notification callbacks, and more. WDoc is ideal for researchers, students, and professionals dealing with extensive information sources.

wdoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It aims to handle large volumes of diverse document types, making it ideal for researchers, students, and professionals dealing with extensive information sources. wdoc uses LangChain to process and analyze documents, supporting tens of thousands of documents simultaneously. The system includes features like high recall and specificity, support for various Language Model Models (LLMs), advanced RAG capabilities, advanced document summaries, and support for multiple tasks. It offers markdown-formatted answers and summaries, customizable embeddings, extensive documentation, scriptability, and runtime type checking. wdoc is suitable for power users seeking document querying capabilities and AI-powered document summaries.

Nucleoid is a declarative (logic) runtime environment that manages both data and logic under the same runtime. It uses a declarative programming paradigm, which allows developers to focus on the business logic of the application, while the runtime manages the technical details. This allows for faster development and reduces the amount of code that needs to be written. Additionally, the sharding feature can help to distribute the load across multiple instances, which can further improve the performance of the system.

This repository contains a collection of papers related to tool learning with large language models (LLMs). The papers are organized according to the survey paper 'Tool Learning with Large Language Models: A Survey'. The survey focuses on the benefits and implementation of tool learning with LLMs, covering aspects such as task planning, tool selection, tool calling, response generation, benchmarks, evaluation, challenges, and future directions in the field. It aims to provide a comprehensive understanding of tool learning with LLMs and inspire further exploration in this emerging area.

A math problem solver that creates Julia code.

Your sympy expert for physics

Educational guide for understanding algebra principles and equations.

IntegriPal: Your friendly integral calculus guide!

Get instant math solutions by uploading an image with Math expression.

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Solve Medical Mysteries!

Mysteries to solve in every spoonful

Solve situation puzzles with GPT 海龟汤助手

A detective game simulator, using real-world events and local knowledge to solve a crime mystery..

Powered by GPT-4 Turbo. 128,000 Tokens. Knowledge base of Discrete Math concepts, proofs and terminology. This GPT is instructed to carefully read and understand the prompt, plan a strategy to solve the problem, and write formal mathematical proofs.

Solve problems at front-end applications development - AI 100% PRO - 500+ Guides trainer

Solve Interview Guess Estimate Questions.

Take on 'Shadow's Secret,' a text-based role-playing game where you unravel the mysterious death of an artist with just 15 critical questions. Each inquiry brings you a step closer to the truth - can you solve the puzzle?

Interview the suspects and solve murder mysteries!

AI powered sleuths solve crimes with synthetic precision. Let me entertain you with this interactive true crime mystery game, lovingly illustrated in the style of synthetic, AI-powered humanoid robots.

Solve elegant puzzles in anime-inspired escape rooms. Let me entertain you with this interactive escape room game, lovingly illustrated in the style of elegant Shojo anime.

Join Riddle Brawl! Solve image riddles, unlock the passphrases, and compete to become the ultimate Champion. Are you up for the challenge? Let's begin! 🕵️‍♂️

Spacemesh Helper can help you solve problems and provide suggestions. Spacemesh Helper 可以帮助您解决问题和提出建议。

Solve procedurally generated murder cases as a 1925's detective in this murder mystery game.