AI tools for calculus
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TutorEva
TutorEva is an AI-powered homework helper and tutor designed to assist college students in various subjects. The platform leverages artificial intelligence to provide personalized learning experiences, answer questions, and offer guidance on assignments. With TutorEva, students can access academic support anytime, anywhere, enhancing their understanding of complex topics and improving their overall academic performance.
Math.now
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.
Maths.ai
Maths.ai is an AI-powered online math tutor that aims to make learning math cool and engaging. It provides step-by-step explanations to help users master various math topics from arithmetic to calculus. The platform offers personalized learning experiences, 24/7 availability, and access to AI-powered assistance for students worldwide. Maths.ai is designed to help students of all levels improve their math skills in a judgment-free and affordable environment.
Interactive Mathematics
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.
Mathful
Mathful is a free online AI math solver that provides step-by-step solutions to math problems of various types and difficulty levels. It covers a wide range of math topics, from elementary math to calculus, and is designed to help students better understand math concepts, improve their math skills, and prepare for math tests. Mathful's AI-powered math solver is highly accurate and efficient, providing detailed explanations and calculations to help users master math problems effectively.
Gauth
Gauth is an AI-powered homework helper that provides step-by-step solutions to STEM problems. It utilizes advanced algorithms and AI technology to solve complex math, statistics, calculus, physics, chemistry, biology, and history questions. Gauth also offers live expert support, with thousands of real experts available 24/7 to provide detailed explanations and guidance. The app is designed to help students of all grades and levels conquer challenging homework problems and improve their understanding of STEM subjects.
AI Math
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.
SnapXam
SnapXam is an AI-powered math tutor that helps students learn math and physics step-by-step. It offers a variety of features, including a math solver, step-by-step solutions, and video explanations. SnapXam is available on iOS and Android devices.
Practical Deep Learning for Coders
Practical Deep Learning for Coders is a free course designed for individuals with some coding experience who want to learn how to apply deep learning and machine learning to practical problems. The course covers topics such as building and training deep learning models for computer vision, natural language processing, tabular analysis, and collaborative filtering problems. It is based on a 5-star rated book and does not require any special hardware or software. The course is led by Jeremy Howard, a renowned expert in machine learning and the President and Chief Scientist of Kaggle.
Math.bot
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.
Aliado en Calculo
Experto en cálculo, límites, ecuaciones diferenciales y desigualdades, interactúo activamente para asegurar la comprensión del usuario.
Calc Vector Pro
Tutor de Cálculo Vectorial con enfoque personalizado y recursos interactivos.
Math & Science Explorer
Friendly math/science expert, making complex topics fun and accessible.
Mon MathsTutor
un professeur de mathématiques appliquées aidant les étudiants de niveaux avancés. Ce GPT offre un soutien en mathématiques appliquées, couvrant des sujets variés et fournissant des applications pratiques.
MathRelated: Personalized Math Tutor
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
Przybysze z Matprzestrzeni
Po 40 latach Pi i Sigma wracają na Ziemię, aby od nowa pomagać ludziom w nauce matematyki.
Wiskunde
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.
math-basics-for-ai
This repository provides resources and materials for learning fundamental mathematical concepts essential for artificial intelligence, including linear algebra, calculus, and LaTeX. It includes lecture notes, video playlists, books, and practical sessions to help users grasp key concepts. The repository aims to equip individuals with the necessary mathematical foundation to excel in machine learning and AI-related fields.
AIT
AIT is a repository focused on Algorithmic Information Theory, specifically utilizing Binary Lambda Calculus. It provides resources and tools for studying and implementing algorithms based on information theory principles. The repository aims to explore the relationship between algorithms and information theory through the lens of Binary Lambda Calculus, offering insights into computational complexity and data compression techniques.
machine-learning-research
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.
Data-and-AI-Concepts
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.
awesome-ai-ml-resources
This repository is a collection of free resources and a roadmap designed to help individuals learn Machine Learning and Artificial Intelligence concepts by providing key concepts, building blocks, roles, a learning roadmap, courses, certifications, books, tools & frameworks, research blogs, applied blogs, practice problems, communities, YouTube channels, newsletters, and must-read papers. It covers a wide range of topics from supervised learning to MLOps, offering guidance on learning paths, practical experience, and job interview preparation.
llm-resources
llm-resources is a repository providing resources to get started with Large Language Models (LLMs). It includes videos on Neural Networks and LLMs, free courses, prompt engineering guides, explored frameworks, AI assistants, and tips on making RAG work properly. The repository also contains important links and updates related to LLMs, AWS, RAG, agents, model context protocol, and more. It aims to help individuals with a basic understanding of NLP and programming knowledge to explore and utilize LLMs effectively.
LLM-PowerHouse-A-Curated-Guide-for-Large-Language-Models-with-Custom-Training-and-Inferencing
LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.
causalML
This repository is the workshop repository for the Causal Modeling in Machine Learning Workshop on Altdeep.ai. The material is open source and free. The course covers causality in model-based machine learning, Bayesian modeling, interventions, counterfactual reasoning, and deep causal latent variable models. It aims to equip learners with the ability to build causal reasoning algorithms into decision-making systems in data science and machine learning teams within top-tier technology organizations.
100days_AI
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.
ml-road-map
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.
groqnotes
Groqnotes is a streamlit app that helps users generate organized lecture notes from transcribed audio using Groq's Whisper API. It utilizes Llama3-8b and Llama3-70b models to structure and create content quickly. The app offers markdown styling for aesthetic notes, allows downloading notes as text or PDF files, and strategically switches between models for speed and quality balance. Users can access the hosted version at groqnotes.streamlit.app or run it locally with streamlit by setting up the Groq API key and installing dependencies.
AI-resources
AI-resources is a repository containing links to various resources for learning Artificial Intelligence. It includes video lectures, courses, tutorials, and open-source libraries related to deep learning, reinforcement learning, machine learning, and more. The repository categorizes resources for beginners, average users, and advanced users/researchers, providing a comprehensive collection of materials to enhance knowledge and skills in AI.
llm-course
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. |  |
ai_all_resources
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.
start-machine-learning
Start Machine Learning in 2024 is a comprehensive guide for beginners to advance in machine learning and artificial intelligence without any prior background. The guide covers various resources such as free online courses, articles, books, and practical tips to become an expert in the field. It emphasizes self-paced learning and provides recommendations for learning paths, including videos, podcasts, and online communities. The guide also includes information on building language models and applications, practicing through Kaggle competitions, and staying updated with the latest news and developments in AI. The goal is to empower individuals with the knowledge and resources to excel in machine learning and AI.
ai_igu
AI-IGU is a GitHub repository focused on Artificial Intelligence (AI) concepts, technology, software development, and algorithm improvement for all ages and professions. It emphasizes the importance of future software for future scientists and the increasing need for software developers in the industry. The repository covers various topics related to AI, including machine learning, deep learning, data mining, data science, big data, and more. It provides educational materials, practical examples, and hands-on projects to enhance software development skills and create awareness in the field of AI.
LLMForEverybody
LLMForEverybody is a comprehensive repository covering various aspects of large language models (LLMs) including pre-training, architecture, optimizers, activation functions, attention mechanisms, tokenization, parallel strategies, training frameworks, deployment, fine-tuning, quantization, GPU parallelism, prompt engineering, agent design, RAG architecture, enterprise deployment challenges, evaluation metrics, and current hot topics in the field. It provides detailed explanations, tutorials, and insights into the workings and applications of LLMs, making it a valuable resource for researchers, developers, and enthusiasts interested in understanding and working with large language models.
SurveyX
SurveyX is an advanced academic survey automation system that leverages Large Language Models (LLMs) to generate high-quality, domain-specific academic papers and surveys. Users can request comprehensive academic papers or surveys tailored to specific topics by providing a paper title and keywords for literature retrieval. The system streamlines academic research by automating paper creation, saving users time and effort in compiling research content.