Best AI tools for< Mathematics Educator >

The Worksheet Generator is a free online tool that allows users to create custom printable worksheets for various subjects and grade levels. Users can generate worksheets for English, Mathematics, Science, History, Geography, Literature, Physics, Chemistry, and Biology. The tool offers a wide range of question types such as multiple choice, fill in the blanks, true/false, and open-ended questions. It is designed to be user-friendly, fast, and secure, catering to the needs of educators and students alike.

Catty.AI is an AI-driven platform that provides personalized and interactive learning experiences for children aged 2-12. It offers a wide range of captivating topics, including science, history, mathematics, and more, presented through engaging fairytales, illustrations, and narrations. Catty.AI prioritizes the well-being of children, ensuring that all content is age-appropriate, safe, and respectful of diverse cultures and beliefs.

Studeo is an AI-powered educational platform that offers personalized learning experiences to students in the field of mathematics. Students can interact with their AI avatar to learn formulas, practice exercises, play games, and take tests. The platform is designed to help students improve their grades by providing feedback, tips, and a dialogue feature with the AI avatar. Studeo covers various academic levels and subjects, making it a comprehensive tool for students seeking to enhance their math skills.

Mathify is an AI-powered educational platform that aims to make learning accessible, engaging, and rewarding for students across various subjects. With a focus on simplifying complex concepts and personalizing learning experiences, Mathify offers interactive adventures in Mathematics, Science, History, Geography, Languages, Literature, and Social Studies. The platform leverages AI technology to provide tailored support to students, helping them conquer challenges and build a strong foundation in each subject. Mathify's mission is to ignite a passion for learning and unlock the academic potential of every learner.

Mileto is a platform that allows users to snap a picture of their STEM (Science, Technology, Engineering, and Mathematics) problem and receive a detailed solution. By leveraging image recognition and AI technology, Mileto simplifies the process of getting help with complex STEM problems. Users can simply take a picture of the problem they are facing, upload it to the platform, and receive a step-by-step solution to guide them through the problem-solving process. Mileto aims to make STEM education more accessible and engaging for students and learners of all levels.

Moogle is a semantic search tool designed for mathlib4, allowing users to find theorems quickly and efficiently. It provides a user-friendly interface for searching mathematical concepts and theorems within the mathlib4 database. Moogle streamlines the process of theorem discovery by leveraging semantic search technology, making it a valuable resource for mathematicians, researchers, and students alike.

MathGPT is an AI math solver and calculator that provides users with the ability to solve various mathematical problems, including calculations, derivatives, and integrations. It also offers a question notebook feature and AI tutoring capabilities. Users can input mathematical expressions and equations, and MathGPT will provide step-by-step solutions and answers. The tool supports a wide range of mathematical functions and constants, making it a versatile and efficient tool for students, educators, and anyone needing assistance with math problems.

Wolfram is a comprehensive platform that unifies algorithms, data, notebooks, linguistics, and deployment to provide a powerful computation platform. It offers a range of products and services for various industries, including education, engineering, science, and technology. Wolfram is known for its revolutionary knowledge-based programming language, Wolfram Language, and its flagship product Wolfram|Alpha, a computational knowledge engine. The platform also includes Wolfram Cloud for cloud-based services, Wolfram Engine for software implementation, and Wolfram Data Framework for real-world data analysis.

EducUp Studio is an innovative online platform designed to revolutionize the way students learn and educators teach. It offers a wide range of interactive tools and resources to enhance the learning experience for students of all ages. With a user-friendly interface and engaging content, EducUp Studio aims to make education more accessible and enjoyable for everyone.

Mathly is an AI-powered homework help tool designed to assist students in learning math concepts in a better, smarter, and faster way. By leveraging artificial intelligence technology, Mathly can solve math problems, provide detailed explanations, generate practice problems, and personalize learning experiences based on the user's learning style. With Mathly, students can receive instant help with their math homework and improve their understanding of mathematical concepts.

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.

AI Math is an online math solver that uses artificial intelligence to help users solve math problems. It can solve a wide range of math problems, including arithmetic, algebra, geometry, trigonometry, calculus, combinations, word problems, statistics, and probability. AI Math is available in over 30 languages and is free to use. It is a valuable tool for students, educators, and anyone who needs help with math.

Interactive Mathematics is an online platform that provides math problem-solving help, tutoring, and lessons. It offers an AI-powered math problem solver that provides step-by-step answers to math homework problems. The platform also offers on-demand math tutoring, where students can send their math problems to tutors and receive immediate help. Interactive Mathematics also provides a variety of math lessons, covering topics from basic algebra to calculus. The platform is designed to help students improve their math grades and understanding.

Duckietown is a platform for delivering cutting-edge robotics and AI learning experiences. It offers teaching resources to instructors, hands-on activities to learners, an accessible research platform to researchers, and a state-of-the-art ecosystem for professional training. Duckietown's mission is to make robotics and AI education state-of-the-art, hands-on, and accessible to all.

Jotlify is an AI-powered platform that simplifies complex research papers, making them accessible and easy to understand for students, researchers, professionals, and curious minds. It transforms dense academic content into engaging stories and insights, bridging the gap between complex research and easy understanding. With Jotlify, users can uncover stories and insights that can transform their understanding and impact various aspects of their lives.

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.

AI Subtraction Learning Helper is an AI tool designed to assist students in learning subtraction through printable subtraction tables, charts, and worksheets. The application provides free resources in various formats, including PDF and JPG, to enhance math learning for children from Kindergarten to 4th Grade. It offers colored subtraction charts, number decomposition solutions, and subtraction games to make learning engaging and effective. Parents and teachers can use the tool to customize practice sessions and track students' progress in mastering fundamental subtraction concepts.

DeepSeek R1 is a revolutionary open-source AI model for advanced reasoning that outperforms leading AI models in mathematics, coding, and general reasoning tasks. It utilizes a sophisticated MoE architecture with 37B active/671B total parameters and 128K context length, incorporating advanced reinforcement learning techniques. DeepSeek R1 offers multiple variants and distilled models optimized for complex problem-solving, multilingual understanding, and production-grade code generation. It provides cost-effective pricing compared to competitors like OpenAI o1, making it an attractive choice for developers and enterprises.

Qonqur is an AI-powered application designed to revolutionize the field of mathematics by enabling users to think faster, connect ideas with ease, and explore frontiers and foundations effortlessly. With integrated AI that understands hand writing, Qonqur is crafted for advanced ideas and is soon to be available on iPad, Pencil, and MacBook. The application aims to liberate intellect and creativity from limitations, incorporating arts into sciences, and venturing into a new paradigm beyond the horizon.

arXiv.org is a free distribution service and an open-access archive for nearly 2.4 million scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and systems science, and economics. Materials on this site are not peer-reviewed by arXiv.

MathEval is a benchmark designed for evaluating the mathematical capabilities of large models. It includes over 20 evaluation datasets covering various mathematical domains with more than 30,000 math problems. The goal is to assess the performance of large models across different difficulty levels and mathematical subfields. MathEval serves as a reliable reference for comparing mathematical abilities among large models and offers guidance on enhancing their mathematical capabilities in the future.

MathVerse is an all-around visual math benchmark designed to evaluate the capabilities of Multi-modal Large Language Models (MLLMs) in visual math problem-solving. It collects high-quality math problems with diagrams to assess how well MLLMs can understand visual diagrams for mathematical reasoning. The benchmark includes 2,612 problems transformed into six versions each, contributing to 15K test samples. It also introduces a Chain-of-Thought (CoT) Evaluation strategy for fine-grained assessment of output answers.

AutoMathText is an extensive dataset of around 200 GB of mathematical texts autonomously selected by the language model Qwen-72B. It aims to facilitate research in mathematics and artificial intelligence, serve as an educational tool for learning complex mathematical concepts, and provide a foundation for developing AI models specialized in processing mathematical content.

LLMLean integrates LLMs and Lean for tactic suggestions, proof completion, and more. Users can utilize LLMLean on problems from Mathematics in Lean by installing LLM on their laptop or using LLM from the Open AI API or Together.ai API. The tool provides tactics like `llmstep` for next-tactic suggestions and `llmqed` for completing proofs. For optimal performance, especially with `llmqed` tactic, it is recommended to use the Open AI API.

The Machine Learning Road Map is a comprehensive guide designed to take individuals from various levels of machine learning knowledge to a basic understanding of machine learning principles using high-quality, free resources. It aims to simplify the complex and rapidly growing field of machine learning by providing a structured roadmap for learning. The guide emphasizes the importance of understanding AI for everyone, the need for patience in learning machine learning due to its complexity, and the value of learning from experts in the field. It covers five different paths to learning about machine learning, catering to consumers, aspiring AI researchers, ML engineers, developers interested in building ML applications, and companies looking to implement AI solutions.

AI-For-Beginners is a comprehensive 12-week, 24-lesson curriculum designed by experts at Microsoft to introduce beginners to the world of Artificial Intelligence (AI). The curriculum covers various topics such as Symbolic AI, Neural Networks, Computer Vision, Natural Language Processing, Genetic Algorithms, and Multi-Agent Systems. It includes hands-on lessons, quizzes, and labs using popular frameworks like TensorFlow and PyTorch. The focus is on providing a foundational understanding of AI concepts and principles, making it an ideal starting point for individuals interested in AI.

The 'llms' repository is a comprehensive guide on Large Language Models (LLMs), covering topics such as language modeling, applications of LLMs, statistical language modeling, neural language models, conditional language models, evaluation methods, transformer-based language models, practical LLMs like GPT and BERT, prompt engineering, fine-tuning LLMs, retrieval augmented generation, AI agents, and LLMs for computer vision. The repository provides detailed explanations, examples, and tools for working with LLMs.

AnkiGPT is a tool that leverages GPT-3.5 or GPT-4 by OpenAI to generate flashcards from lecture slides or text input. Users can easily export the generated flashcards to Anki for effective learning. The tool allows users to edit, delete, and share flashcards, as well as generate mnemonics. AnkiGPT supports nearly all languages and ensures user privacy by not using submitted content for AI training. While powerful, the tool has limitations such as occasional errors in generated flashcards and challenges with mathematical equations. AnkiGPT is designed specifically for Anki flashcard app integration and encourages users to review and verify flashcard information for accuracy.

The 'machine-learning-research' repository is a comprehensive collection of resources related to mathematics, machine learning, deep learning, artificial intelligence, data science, and various scientific fields. It includes materials such as courses, tutorials, books, podcasts, communities, online courses, papers, and dissertations. The repository covers topics ranging from fundamental math skills to advanced machine learning concepts, with a focus on applications in healthcare, genetics, computational biology, precision health, and AI in science. It serves as a valuable resource for individuals interested in learning and researching in the fields of machine learning and related disciplines.

The 'ai4math-papers' repository contains a collection of research papers related to AI applications in mathematics, including automated theorem proving, synthetic theorem generation, autoformalization, proof refactoring, premise selection, benchmarks, human-in-the-loop interactions, and constructing examples/counterexamples. The papers cover various topics such as neural theorem proving, reinforcement learning for theorem proving, generative language modeling, formal mathematics statement curriculum learning, and more. The repository serves as a valuable resource for researchers and practitioners interested in the intersection of AI and mathematics.

The LLM course is divided into three parts: 1. 🧩 **LLM Fundamentals** covers essential knowledge about mathematics, Python, and neural networks. 2. 🧑‍🔬 **The LLM Scientist** focuses on building the best possible LLMs using the latest techniques. 3. 👷 **The LLM Engineer** focuses on creating LLM-based applications and deploying them. For an interactive version of this course, I created two **LLM assistants** that will answer questions and test your knowledge in a personalized way: * 🤗 **HuggingChat Assistant**: Free version using Mixtral-8x7B. * 🤖 **ChatGPT Assistant**: Requires a premium account. ## 📝 Notebooks A list of notebooks and articles related to large language models. ### Tools | Notebook | Description | Notebook | |----------|-------------|----------| | 🧐 LLM AutoEval | Automatically evaluate your LLMs using RunPod |  | | 🥱 LazyMergekit | Easily merge models using MergeKit in one click. |  | | 🦎 LazyAxolotl | Fine-tune models in the cloud using Axolotl in one click. |  | | ⚡ AutoQuant | Quantize LLMs in GGUF, GPTQ, EXL2, AWQ, and HQQ formats in one click. |  | | 🌳 Model Family Tree | Visualize the family tree of merged models. |  | | 🚀 ZeroSpace | Automatically create a Gradio chat interface using a free ZeroGPU. |  |

Awesome-Colorful-LLM is a meticulously assembled anthology of vibrant multimodal research focusing on advancements propelled by large language models (LLMs) in domains such as Vision, Audio, Agent, Robotics, and Fundamental Sciences like Mathematics. The repository contains curated collections of works, datasets, benchmarks, projects, and tools related to LLMs and multimodal learning. It serves as a comprehensive resource for researchers and practitioners interested in exploring the intersection of language models and various modalities for tasks like image understanding, video pretraining, 3D modeling, document understanding, audio analysis, agent learning, robotic applications, and mathematical research.

YuLan-Mini is a lightweight language model with 2.4 billion parameters that achieves performance comparable to industry-leading models despite being pre-trained on only 1.08T tokens. It excels in mathematics and code domains. The repository provides pre-training resources, including data pipeline, optimization methods, and annealing approaches. Users can pre-train their own language models, perform learning rate annealing, fine-tune the model, research training dynamics, and synthesize data. The team behind YuLan-Mini is AI Box at Renmin University of China. The code is released under the MIT License with future updates on model weights usage policies. Users are advised on potential safety concerns and ethical use of the model.

This repository is a curated collection of data science and AI concepts and IQs, covering topics from foundational mathematics to cutting-edge generative AI concepts. It aims to support learners and professionals preparing for various data science roles by providing detailed explanations and notebooks for each concept.

ChatGLM3 is a conversational pretrained model jointly released by Zhipu AI and THU's KEG Lab. ChatGLM3-6B is the open-sourced model in the ChatGLM3 series. It inherits the advantages of its predecessors, such as fluent conversation and low deployment threshold. In addition, ChatGLM3-6B introduces the following features: 1. A stronger foundation model: ChatGLM3-6B's foundation model ChatGLM3-6B-Base employs more diverse training data, more sufficient training steps, and more reasonable training strategies. Evaluation on datasets from different perspectives, such as semantics, mathematics, reasoning, code, and knowledge, shows that ChatGLM3-6B-Base has the strongest performance among foundation models below 10B parameters. 2. More complete functional support: ChatGLM3-6B adopts a newly designed prompt format, which supports not only normal multi-turn dialogue, but also complex scenarios such as tool invocation (Function Call), code execution (Code Interpreter), and Agent tasks. 3. A more comprehensive open-source sequence: In addition to the dialogue model ChatGLM3-6B, the foundation model ChatGLM3-6B-Base, the long-text dialogue model ChatGLM3-6B-32K, and ChatGLM3-6B-128K, which further enhances the long-text comprehension ability, are also open-sourced. All the above weights are completely open to academic research and are also allowed for free commercial use after filling out a questionnaire.

MiniCPM is a series of open-source large models on the client side jointly developed by Face Intelligence and Tsinghua University Natural Language Processing Laboratory. The main language model MiniCPM-2B has only 2.4 billion (2.4B) non-word embedding parameters, with a total of 2.7B parameters. - After SFT, MiniCPM-2B performs similarly to Mistral-7B on public comprehensive evaluation sets (better in Chinese, mathematics, and code capabilities), and outperforms models such as Llama2-13B, MPT-30B, and Falcon-40B overall. - After DPO, MiniCPM-2B also surpasses many representative open-source large models such as Llama2-70B-Chat, Vicuna-33B, Mistral-7B-Instruct-v0.1, and Zephyr-7B-alpha on the current evaluation set MTBench, which is closest to the user experience. - Based on MiniCPM-2B, a multi-modal large model MiniCPM-V 2.0 on the client side is constructed, which achieves the best performance of models below 7B in multiple test benchmarks, and surpasses larger parameter scale models such as Qwen-VL-Chat 9.6B, CogVLM-Chat 17.4B, and Yi-VL 34B on the OpenCompass leaderboard. MiniCPM-V 2.0 also demonstrates leading OCR capabilities, approaching Gemini Pro in scene text recognition capabilities. - After Int4 quantization, MiniCPM can be deployed and inferred on mobile phones, with a streaming output speed slightly higher than human speech speed. MiniCPM-V also directly runs through the deployment of multi-modal large models on mobile phones. - A single 1080/2080 can efficiently fine-tune parameters, and a single 3090/4090 can fully fine-tune parameters. A single machine can continuously train MiniCPM, and the secondary development cost is relatively low.

PhoGPT is an open-source 4B-parameter generative model series for Vietnamese, including the base pre-trained monolingual model PhoGPT-4B and its chat variant, PhoGPT-4B-Chat. PhoGPT-4B is pre-trained from scratch on a Vietnamese corpus of 102B tokens, with an 8192 context length and a vocabulary of 20K token types. PhoGPT-4B-Chat is fine-tuned on instructional prompts and conversations, demonstrating superior performance. Users can run the model with inference engines like vLLM and Text Generation Inference, and fine-tune it using llm-foundry. However, PhoGPT has limitations in reasoning, coding, and mathematics tasks, and may generate harmful or biased responses.

This repository is a compilation of excellent ML and DL tutorials created by various individuals and organizations. It covers a wide range of topics, including machine learning fundamentals, deep learning, computer vision, natural language processing, reinforcement learning, and more. The resources are organized into categories, making it easy to find the information you need. Whether you're a beginner or an experienced practitioner, you're sure to find something valuable in this repository.

Dieses GPT wurde speziell entwickelt, um Schülern beim Verständnis und Lernen mathematischer Konzepte zu helfen. Es bietet einfache Erklärungen, zeigt Beispiele auf und schlägt interaktive Übungen vor, um das Verständnis zu vertiefen.

A specialized GPT for calculus assistance, educational and clear.

Hướng dẫn giải toán, không cung cấp đáp án ngay

Mathematician and writer in the style of Morris Hirsch.

Spanish-speaking math teacher

Precision-focused Language Model for Discrete Mathematics, ensuring unmatched accuracy and error avoidance.

Mathematics and Programming genius. Musical Maestro

Expert in Mayan mathematics, focusing on practical applications.

Your (second) best discrete mathematics teacher. (Now in English)

Expert in financial mathematics, providing detailed explanations and guidance.

Zero, the Quantum Simulated AI Agent an AI agent with a rich knowledge base in quantum thinking, probability mathematics, research trained, and more, offering growth and learning.

Exploring the significance of the number 8 in cultures, mathematics, and superstitions.

Your expert in meteorology, atmospheric science, and related physics/mathematics.

MathRelated is an AI-powered tutoring assistant designed for Years 7-12, focusing on bridging learning gaps in mathematics. It offers customized lessons, and interactive problem-solving, enhancing understanding and engagement

Tu (segundo) mejor profesor de matemáticas discretas.

An expert in classical mechanics who can explain and solve any classical mechanics problem. Specializes in Hamiltonian and Lagrangian mechanics.

Generates mathematical conjectures with precision and creativity.

William Paul Thurston (October 30, 1946 – August 21, 2012) was an American mathematician. He was a pioneer in the field of low-dimensional topology and was awarded the Fields Medal in 1982 for his contributions to the study of 3-manifolds.

Dit programma biedt duidelijke uitleg over een breed scala aan wiskundige onderwerpen. Gebruikers kunnen verwachten dat ze alles leren, van elementaire wiskundige concepten tot complexere theorieën. Het is ontworpen om wiskunde voor iedereen begrijpelijk te maken.

Direct answers on Lie groups for the knowledgeable.