Best AI tools for< Access Learning >

Calibr is an AI-powered Learning Management System (LMS) and Learning Experience Platform (LXP) that offers a cutting-edge course authoring platform and personalized learning experiences for modern workforces. The platform leverages generative AI to create engaging and interactive courses, streamline user and group management, and provide 360-degree analytics for measuring learner progress. With features like SCORM support, SSO integration, and mobile learning capabilities, Calibr aims to empower organizations to foster a culture of continuous learning and align learning strategies with business goals.

Fast Learner is an AI-enabled learning platform that is revolutionizing the field of education. It leverages artificial intelligence to provide personalized learning experiences for students of all ages. By utilizing advanced algorithms and machine learning techniques, Fast Learner adapts to the individual needs and learning styles of each user, offering tailored content and feedback to enhance their educational journey. With a focus on efficiency and effectiveness, this platform aims to make learning more engaging, interactive, and accessible to a wide range of learners.

SkillBloomer is an AI-powered learning and automation platform for businesses based in Sector 76, Noida, India. The platform empowers trainers, educators, and experts to effortlessly share their knowledge through online courses, workshops, and consulting services. SkillBloomer aims to bridge the gap between expertise and learning by providing tools and support to create, launch, and sell high-quality education. The platform offers a wide range of courses in development, business, IT & software, productivity, design, marketing, data & analytics, finance, and generative AI.

MDN Web Docs is a comprehensive web technology reference for developers, offering detailed information on HTML, CSS, JavaScript, HTTP, Web APIs, Web Extensions, and Accessibility. It provides learning resources, browser compatibility updates, real-time assistance, and support. Users can access a curated learning area, playground to write and test code, HTTP Observatory to scan websites, and a FAQ section. MDN partners with Scrimba for web development learning and emphasizes web sustainability. The platform also features recent contributions, news, and a community forum.

AIgentor is a free AI generator and character platform that allows users to chat with realistic AI characters from books, movies, games, or personal favorites. Users can enjoy all AI tools for free without any subscription plan, with a simple start that requires no login. The platform offers powerful integration with the latest large language models and features various AI characters like Pet Food Taster, Professional Line Sitter, Professional Mermaid Performer, Underwater Delivery, Japanese Tea Ceremony Master, Kid-Friendly Explainer, Carpenter, Drama Teacher, British Literature Teacher, and Hypnotherapist. Users can also learn how to use AI tools, gain prompt skills, and improve work efficiency.

Skillora is an AI Interviewer Tool designed to help individuals practice and improve their interview skills in a safe and realistic environment. Users can take personalized mock interviews with the AI interviewer, receive instant feedback, and access learning resources to enhance their performance. Skillora offers customizable mock interviews tailored to any job description, dynamic follow-up questions, and clear scoring for each response. The application aims to boost users' confidence and success in landing their dream jobs.

Happy Future AI is an AI application that aims to harness the power of artificial intelligence to create a happier and more hopeful future for everyone. The application provides insights, news, and interviews related to AI, deep learning, and everyday AI applications. Users can stay ahead of the AI news curve and explore various ways to utilize AI for business success and innovation. Happy Future AI also covers topics such as AI startups, AI integration in commerce, and the challenges and opportunities in the AI industry.

Law School AI is a personalized AI chatbot designed to revolutionize legal education for law students. It simplifies complex legal topics, delivers personalized study guidance, and provides real-time answers to questions, making the law school journey easier and more engaging. The chatbot offers features such as personalized study plans, instant feedback, and round-the-clock access to law learning resources. Law School AI aims to enhance productivity, efficiency, and interactivity in legal education through AI-powered technology.

LearnSmarter.ai is a comprehensive AI-powered platform designed to enhance personal development and goal achievement. It offers a wide range of tools, resources, and personalized guidance to help users improve their mindset, cognitive skills, and decision-making abilities. With LearnSmarter.ai, individuals can access AI-powered learning tools, interact with AI characters representing industry leaders and personal coaches, and enroll in fast-track courses to accelerate their growth journey. The platform emphasizes efficient learning, practical application, and personalized support to empower users in setting clear goals, making informed decisions, solving complex problems, and taking effective actions towards their desired outcomes.

Zainii is an AI-powered learning platform that provides students with a personalized and interactive learning experience. It offers a range of features such as 1:1 learning with an AI tutor, access to past learning videos, and flexible subscription plans. Zainii is designed to help students learn more effectively and efficiently, and it can be used for a variety of subjects, from science to literature to math. It is a valuable tool for students of all ages and learning styles.

The Computer Vision Foundation (CVF) is a non-profit organization dedicated to advancing the field of computer vision. CVF organizes several conferences and workshops each year, including the International Conference on Computer Vision (ICCV), the Conference on Computer Vision and Pattern Recognition (CVPR), and the Winter Conference on Applications of Computer Vision (WACV). CVF also publishes the International Journal of Computer Vision (IJCV) and the Computer Vision and Image Understanding (CVIU) journal. The CVF Open Access website provides access to the full text of all CVF-sponsored conference papers. These papers are available for free download in PDF format. The CVF Open Access website also includes links to the arXiv versions of the papers, where available.

Multiverse is an AI-powered platform that helps employers and individuals bridge skills gaps by offering professional apprenticeships and personalized learning pathways. It provides AI-powered assessments to diagnose skills challenges, personalized learning plans, and on-the-job training. Multiverse aims to transform careers by supporting workforce transformation through upskilling and reskilling. The platform offers an ecosystem of human and AI support to ensure learners are never alone in their learning journey. Multiverse is trusted by 1,500 companies across the UK & US, with a tracked return-on-investment of £2 billion for customers to date.

The website is a comprehensive resource hub for learning and mastering end-to-end testing using the Playwright automation framework. It offers a variety of content such as blog posts, tutorials, videos, and a QA Wiki with definitions of common testing terms. Users can also ask questions related to Playwright and access a Discord forum for discussions. Additionally, there is a browser extension available for generating Playwright locators, and a section dedicated to QA jobs and automation opportunities.

JMIR AI is a new peer-reviewed journal focused on research and applications for the health artificial intelligence (AI) community. It includes contemporary developments as well as historical examples, with an emphasis on sound methodological evaluations of AI techniques and authoritative analyses. It is intended to be the main source of reliable information for health informatics professionals to learn about how AI techniques can be applied and evaluated.

BugFree.ai is an AI-powered platform designed to help users practice system design and behavior interviews, similar to Leetcode. The platform offers a range of features to assist users in preparing for technical interviews, including mock interviews, real-time feedback, and personalized study plans. With BugFree.ai, users can improve their problem-solving skills and gain confidence in tackling complex interview questions.

LiteLLM is a platform that simplifies model access, spend tracking, and fallbacks across 100+ LLMs. It provides a gateway to manage model access and offers features like logging, budget tracking, pass-through endpoints, and self-serve key management. LiteLLM is open-source and compatible with the OpenAI format, allowing users to access various LLMs seamlessly.

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.

AIMLAPI.com is an AI tool that provides access to over 200 AI models through a single AI API. It offers a wide range of AI features for tasks such as chat, code, image generation, music generation, video, voice embedding, language, genomic models, and 3D generation. The platform ensures fast inference, top-tier serverless infrastructure, high data security, 99% uptime, and 24/7 support. Users can integrate AI features easily into their products and test API models in a sandbox environment before deployment.

MIT Sloan Teaching & Learning Technologies connects MIT Sloan to research-driven best practices, resources, and training in instructional technology and design. They help the community make an impact in the classroom and beyond. They offer various services such as trainings, practice sessions, how-to guides, consultations, and a teaching studio. Their latest news and announcements include supporting learning with AI-generated images, providing students with access to Microsoft Copilot, and making Microsoft Copilot available for faculty and staff.

StudyPro is a premier online learning platform designed for students to enhance their academic performance. It offers a wide range of services, including grammar checking, paraphrasing, homework planning, and AI writing tools. StudyPro leverages advanced AI technologies to provide personalized learning experiences and support students in achieving their educational goals. The platform aims to simplify the learning process by offering innovative features and top-notch support to help students succeed in their academic journey.

The go2coding.github.io repository is a collection of resources for AI enthusiasts, providing information on AI products, open-source projects, AI learning websites, and AI learning frameworks. It aims to help users stay updated on industry trends, learn from community projects, access learning resources, and understand and choose AI frameworks. The repository also includes instructions for local and external deployment of the project as a static website, with details on domain registration, hosting services, uploading static web pages, configuring domain resolution, and a visual guide to the AI tool navigation website. Additionally, it offers a platform for AI knowledge exchange through a QQ group and promotes AI tools through a WeChat public account.

LLM Cookbook is a developer-oriented comprehensive guide focusing on LLM for Chinese developers. It covers various aspects from Prompt Engineering to RAG development and model fine-tuning, providing guidance on how to learn and get started with LLM projects in a way suitable for Chinese learners. The project translates and reproduces 11 courses from Professor Andrew Ng's large model series, categorizing them for beginners to systematically learn essential skills and concepts before exploring specific interests. It encourages developers to contribute by replicating unreproduced courses following the format and submitting PRs for review and merging. The project aims to help developers grasp a wide range of skills and concepts related to LLM development, offering both online reading and PDF versions for easy access and learning.

Gen-AI-Experiments is a structured collection of Jupyter notebooks and AI experiments designed to guide users through various AI tools, frameworks, and models. It offers valuable resources for both beginners and experienced practitioners, covering topics such as AI agents, model testing, RAG systems, real-world applications, and open-source tools. The repository includes folders with curated libraries, AI agents, experiments, LLM testing, open-source libraries, RAG experiments, and educhain experiments, each focusing on different aspects of AI development and application.

Bittensor is an internet-scale neural network that incentivizes computers to provide access to machine learning models in a decentralized and censorship-resistant manner. It operates through a token-based mechanism where miners host, train, and procure machine learning systems to fulfill verification problems defined by validators. The network rewards miners and validators for their contributions, ensuring continuous improvement in knowledge output. Bittensor allows anyone to participate, extract value, and govern the network without centralized control. It supports tasks such as generating text, audio, images, and extracting numerical representations.

AgroTech AI platform is a comprehensive web-based tool where users can access various machine learning models for making accurate predictions related to agriculture. It offers solutions for crop management, soil health assessment, pest control, and more. The platform implements machine learning algorithms to provide functionalities like fertilizer prediction, crop prediction, soil quality prediction, yield prediction, and mushroom edibility prediction.

Ocademy is an AI learning community dedicated to Python, Data Science, Machine Learning, Deep Learning, and MLOps. They promote equal opportunities for everyone to access AI through open-source educational resources. The repository contains curated AI courses, tutorials, books, tools, and resources for learning and creating Generative AI. It also offers an interactive book to help adults transition into AI. Contributors are welcome to join and contribute to the community by following guidelines. The project follows a code of conduct to ensure inclusivity and welcomes contributions from those passionate about Data Science and AI.

Grand Challenge is a platform that provides access to large amounts of annotated training data, objective comparisons of state-of-the-art machine learning solutions, and clinical validation using real-world data. It assists researchers, data scientists, and clinicians in collaborating to develop robust machine learning solutions to problems in biomedical imaging.

GrAIdient is a framework designed to enable the development of deep learning models using the internal GPU of a Mac. It provides access to the graph of layers, allowing for unique model design with greater understanding, control, and reproducibility. The goal is to challenge the understanding of deep learning models, transitioning from black box to white box models. Key features include direct access to layers, native Mac GPU support, Swift language implementation, gradient checking, PyTorch interoperability, and more. The documentation covers main concepts, architecture, and examples. GrAIdient is MIT licensed.

This repository hosts the Machine Learning for Games Course, providing mdx files and notebooks for learning. The course covers various topics related to applying machine learning techniques in game development. It offers a syllabus and resources for users to sign up and access the content for free. The project is maintained by Thomas Simonini and is available on GitHub for citation in publications.

A high-performance TensorFlow Lite library for React Native that utilizes JSI for power, zero-copy ArrayBuffers for efficiency, and low-level C/C++ TensorFlow Lite core API for direct memory access. It supports swapping out TensorFlow Models at runtime and GPU-accelerated delegates like CoreML/Metal/OpenGL. Easy VisionCamera integration allows for seamless usage. Users can load TensorFlow Lite models, interpret input and output data, and utilize GPU Delegates for faster computation. The library is suitable for real-time object detection, image classification, and other machine learning tasks in React Native applications.

This repository contains course materials for the 'Introduction to Machine Learning' course at Sharif University of Technology. It includes slides, Jupyter notebooks, and exercises for the Fall 2024 semester. The content is continuously updated throughout the semester. Previous semester materials are also accessible. Visit www.SharifML.ir for class videos and additional information.

LLM_Notebooks is a repository supporting The Machine Learning Engineer YouTube channel. It contains materials related to various topics such as Generative AI, MLOps, ML projects, Azure Projects, Google VertexAi, ML Tricks, and more. The repository includes notebooks and code in Python and C#, with a focus on Python. The videos on the channel cover a wide range of topics in English and Spanish, organized into playlists based on general themes. The repository links are provided in the video descriptions for easy access. The creator uploads videos regularly and encourages viewers to subscribe, like, and leave constructive comments. The repository serves as a valuable resource for learning and exploring machine learning concepts and tools.

OREAL is a reinforcement learning framework designed for mathematical reasoning tasks, aiming to achieve optimal performance through outcome reward-based learning. The framework utilizes behavior cloning, reshaping rewards, and token-level reward models to address challenges in sparse rewards and partial correctness. OREAL has achieved significant results, with a 7B model reaching 94.0 pass@1 accuracy on MATH-500 and surpassing previous 32B models. The tool provides training tutorials and Hugging Face model repositories for easy access and implementation.

AI-PhD-S25 is a mono-repo for the DOTE 6635 course on AI for Business Research at CUHK Business School. The course aims to provide a fundamental understanding of ML/AI concepts and methods relevant to business research, explore applications of ML/AI in business research, and discover cutting-edge AI/ML technologies. The course resources include Google CoLab for code distribution, Jupyter Notebooks, Google Sheets for group tasks, Overleaf template for lecture notes, replication projects, and access to HPC Server compute resource. The course covers topics like AI/ML in business research, deep learning basics, attention mechanisms, transformer models, LLM pretraining, posttraining, causal inference fundamentals, and more.

AI-lectures is a repository containing educational materials on various topics related to Artificial Intelligence, including Machine Learning, Robotics, and Optimization. It provides full scripts, slides, and exercises with solutions for different lectures. Users can compile the materials into PDFs for easy access and reference. The repository aims to offer comprehensive resources for individuals interested in learning about AI and its applications in intelligent systems.

The 'Free LLM API resources' repository provides a comprehensive list of services offering free access or credits for API-based LLM usage. It includes various providers with details on model names, limits, and notes. Users can find information on legitimate services and their respective usage restrictions to leverage LLM capabilities without incurring costs. The repository aims to assist developers and researchers in accessing AI models for experimentation, development, and learning purposes.

Factorio Learning Environment is an open source framework designed for developing and evaluating LLM agents in the game of Factorio. It provides two settings: Lab-play with structured tasks and Open-play for building large factories. Results show limitations in spatial reasoning and automation strategies. Agents interact with the environment through code synthesis, observation, action, and feedback. Tools are provided for game actions and state representation. Agents operate in episodes with observation, planning, and action execution. Tasks specify agent goals and are implemented in JSON files. The project structure includes directories for agents, environment, cluster, data, docs, eval, and more. A database is used for checkpointing agent steps. Benchmarks show performance metrics for different configurations.

Sports-Betting-ML-Tools-NBA is a repository containing machine learning and market analysis tools for NBA games. It features a game prediction model trained on 20,000+ games with 500+ data points per game, pre-game analysis with player stats, injuries, and Vegas odds, custom model training with configurable parameters, real-time score updates, and performance tracking. Users can analyze player stats, remove injured players, check Vegas odds and injury reports, review last game performance, and generate game score predictions. The repository also allows users to configure model training parameters, monitor training via Tensorboard, track performance metrics like win/loss percentage, spread accuracy, and profit/loss calculations, and access core statistics per player and team metrics.

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.

Expert on all AI topics, with AI database access

Access the mind of the world's greatest detective

Mentor-like computer science professor specializing in operating systems, making complex concepts accessible.

John Danaher, In Chatbot Form

I am a Starfleet library computer.

This is a demonstration of GPT Auth™, an authentication system designed to protect your customized GPT.

Expert in Your ERP software, specializing in White Label contracts and implementation advice.

💲Monetize your new or existing GPTs! 💳Choose from free trial, freemium or premium pricing models. 🔐Generate and verify keys. 📦Self contained w/ no need for apis or actions. ✨Instant access to updates. 💾Worry free backups ⏱Save time and effort. 💰Monetize today! -v0.60

Access Economy Protocol (AEP)

I'll help you access and understand open data published by central government, local authorities and public bodies. You can ask me in your native language.

Access free car repair manuals and auto repair manuals with our AI tool. Ideal for DIY car repair, use online car repair manuals and download car repair manuals. Discover the best car repair manuals for beginners and use car diagnostic tools. Buy car parts online and follow a car maintenance .

An experiment in personal FileMaker guidance from the collective works of lifetime award-winning FileMaker trainer, Cris Ippolite. Not just links to resources, but direct access to 20+ years of custom training curriculum combined with expert AI instruction without the noise of external web links.

This GPT has access to both PubMed and the UnPaywall database, allowing conversational exploration of the literature and direct access to full-text articles

An anatomy expert with access to Gray's Anatomy 21st ed.

Expert on ADHD with access to professional research

Expert economist with access to real-time data.

👨‍💻Node.js expert with access to v21.1.0 documentation. Powered by Breebs (www.breebs.com)

Enhanced assistant with access to Ikangai RSS Feed, Content API, and deep knowledge integration.

An AI with access to all of Rudy Mawer's content

Assistant for migrating data from Access to SQLite databases.