Best AI tools for< Learn R >

GitWit is an online tool that helps you build web apps quickly and easily, even if you don't have any coding experience. With GitWit, you can create a React app in minutes, and you can use AI to augment your own coding skills. GitWit supports React, Tailwind, and NodeJS, and it has generated over 1000 projects to date. GitWit can help you build any type of web app, from simple landing pages to complex e-commerce stores.

Adventure AI is an educational platform that offers kids the opportunity to work with cutting-edge AI technology to create games, art, music, and more. The platform provides a social gaming experience within Discord, where kids can engage in self-paced quest curriculums related to AI-assisted art, coding AI, and more. Graduates move on to 'World School' to create professional-level projects. Adventure AI aims to make learning fun and engaging, with real-world value and social collaboration.

EcoSnap is an AI tool designed to help users recycle plastic more effectively by utilizing Artificial Intelligence technology. Users can simply take a picture of a plastic code and receive guidance on how to recycle the item properly. The application aims to promote environmental sustainability by providing users with easy-to-use tools to make informed recycling decisions.

Maia is an AI-powered relationship app designed to help couples improve their communication, resolve conflicts, and explore new date nights. It provides access to relationship theories and allows users to ask Maia anything. The app is available for download and offers exclusive content for subscribers.

Replit is a software creation platform that provides an integrated development environment (IDE), artificial intelligence (AI) assistance, and deployment services. It allows users to build, test, and deploy software projects directly from their browser, without the need for local setup or configuration. Replit offers real-time collaboration, code generation, debugging, and autocompletion features powered by AI. It supports multiple programming languages and frameworks, making it suitable for a wide range of development projects.

Gizmo is an AI-powered learning application designed to make studying easy and enjoyable for students of all levels. It offers A.I. quizzes that help users learn and retain information effectively. The app is created by Cambridge alumni and has gained popularity among students for its innovative approach to learning. With features like spaced repetition, active recall, and the ability to turn study materials into flashcards, Gizmo aims to enhance the learning experience and improve academic performance.

Raplyrics is a website that uses artificial intelligence to generate rap music punchlines. Users can input a few words into a prompt, and the website will generate a unique rap punchline. Raplyrics also has a blog that features genuine stories about rap music culture and its impact on society. The website also has a learning section that provides information about the behind-the-scenes of RapLyrics, its ML engine, and API.

Replit GPT Assistant is a tool that acts as a Replit-informed assistant, helping developers address their issues. It provides solutions to common problems faced by developers when using Replit, such as lower Node version errors and issues with updating environment variables.

Zanki is a phonics-based reading app that utilizes spaced repetition and AI-powered flashcards to help children learn to read quickly and effectively. The app adapts to each child's reading level and interests, making learning fun and engaging. Zanki rewards children with stickers after each review session, keeping them motivated and excited to continue learning.

Podwise is an AI-powered podcast tool that helps users extract structured knowledge from podcasts. It offers features such as AI-powered summarization, mind mapping, outlining, transcription, and integration with popular knowledge management tools. Podwise aims to enhance the podcast listening experience by providing users with a more efficient and effective way to learn and retain information from podcasts.

M-Wakili is an AI-powered legal assistant designed to provide instant legal advice, research, answers, and analysis on any legal topic, available 24/7. It caters to lawyers, law students, and the general public, offering accurate and reliable responses based on Kenyan law. M-Wakili aims to revolutionize the legal field by enhancing accessibility and effectiveness of legal expertise, while also aiding in the advancement of law professionals.

Techiexpert.com is an AI tool that provides expert views on emerging technologies such as Artificial Intelligence, Internet of Things, Big Data, Cloud Data Analytics, Machine Learning, and Blockchain. The platform offers a wide range of articles, news, and resources related to the latest trends in the tech industry. Users can explore topics like cybersecurity, data science, deep learning, robotics, and more to stay informed and updated on technological advancements.

Paperclips is an AI-powered tool that helps users create flashcards from their course notes or any website. It automatically generates flashcards in the same language as the notes, making it easy for users to learn and review material. Paperclips also works with digital notes and can export flashcards to popular platforms like Anki and Quizlet.

FlashcardX is an AI-powered study tool that helps users create study materials and ace their tests. It uses AI to generate flashcards from text, articles, and textbooks, and provides users with a variety of study modes to help them learn and retain information. FlashcardX also has a community feature that allows users to share and collaborate on flashcards, and a progress tracking feature that helps users stay motivated and on track.

Knowbase.ai is a knowledge management tool that allows users to store, organize, and chat with their knowledge base. It is powered by ChatGPT, which allows users to ask questions about their knowledge base and get answers in a conversational format. Knowbase.ai is designed to help users learn and remember information more effectively.

Durable is a custom software development platform powered by generative AI. It enables users to create tailored software solutions without writing any code. The platform is designed to be accessible to users of all technical abilities and leverages advanced AI techniques to generate deploy-ready software that meets specific user needs and earns their trust. The team behind Durable comprises experienced founders, venture capital investors, and AI research leaders. Their AI technology combines deep learning and symbolic AI to understand user intent, validate assumptions, and continuously learn and reason. Durable is committed to developing the next chapter of AI and welcomes inquiries from driven and enthusiastic individuals interested in shaping the future of software development.

Samurai AI is an AI-powered read-it-later app that provides users with concise and insightful summaries of articles, YouTube videos, and TED talks. The app is designed to save users time and help them get the most out of their reading and viewing experiences. Samurai AI is still in development, but it is expected to be released soon on iOS and Android devices.

Hayai Learn is an AI-powered platform designed to help users learn Japanese quickly and effectively by immersing them in Japanese content such as YouTube videos. The platform utilizes AI technology to assist users in acquiring new vocabulary and grammar effortlessly. By offering features like word learning from subtitles, providing relevant word meanings, offering video examples for better memory association, and assisting with sentence mining, Hayai Learn aims to revolutionize the way Japanese is learned by making it fun and engaging.

Opal is an AI-powered study tool designed to supercharge studying for students. It offers features such as AI-powered notes, flashcards, quizzes, and advanced performance tracking. Opal allows users to upload various document types, provides multilingual support, and ensures bank-level security for stored documents. The tool is built to help students summarize, review, and learn efficiently with the assistance of AI technology.

RTutor is an artificial intelligence (AI)-based application that allows users to interact with their data through natural language. Users can upload datasets and ask questions or request analyses in English. The application generates and executes R code to provide answers with plots and numeric results. RTutor aims to help individuals with some R experience learn or enhance their coding skills by speeding up the coding process and providing draft code for testing and refinement. The application is designed to facilitate data visualization and exploratory data analysis (EDA) quickly and efficiently, although users should be cautious of potential bugs and errors due to the experimental nature of the technology.

This repository is part of the Certified Cloud Native Applied Generative AI Engineer program, focusing on the fundamentals of Prompt Engineering, Docker, GitHub, and Modern Python Programming. It covers the basics of GenAI, Linux, Docker, VSCode, Devcontainer, and GitHub. The main emphasis is on mastering Modern Python with Typing, using ChatGPT as a Personal Python Coding Mentor. The course material includes tools installation, study materials, and projects related to Python development in Docker containers and GitHub usage.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

The 'awesome-mobile-robotics' repository is a curated list of important content related to Mobile Robotics and AI. It includes resources such as courses, books, datasets, software and libraries, podcasts, conferences, journals, companies and jobs, laboratories and research groups, and miscellaneous resources. The repository covers a wide range of topics in the field of Mobile Robotics and AI, providing valuable information for enthusiasts, researchers, and professionals in the domain.

LLMOps Duke AIPI is a course focused on operationalizing Large Language Models, teaching methodologies for developing applications using software development best practices with large language models. The course covers various topics such as generative AI concepts, setting up development environments, interacting with large language models, using local large language models, applied solutions with LLMs, extensibility using plugins and functions, retrieval augmented generation, introduction to Python web frameworks for APIs, DevOps principles, deploying machine learning APIs, LLM platforms, and final presentations. Students will learn to build, share, and present portfolios using Github, YouTube, and Linkedin, as well as develop non-linear life-long learning skills. Prerequisites include basic Linux and programming skills, with coursework available in Python or Rust. Additional resources and references are provided for further learning and exploration.

Awesome-LLM-RAG-Application is a repository that provides resources and information about applications based on Large Language Models (LLM) with Retrieval-Augmented Generation (RAG) pattern. It includes a survey paper, GitHub repo, and guides on advanced RAG techniques. The repository covers various aspects of RAG, including academic papers, evaluation benchmarks, downstream tasks, tools, and technologies. It also explores different frameworks, preprocessing tools, routing mechanisms, evaluation frameworks, embeddings, security guardrails, prompting tools, SQL enhancements, LLM deployment, observability tools, and more. The repository aims to offer comprehensive knowledge on RAG for readers interested in exploring and implementing LLM-based systems and products.

The 'Awesome LLMs Planning Reasoning' repository is a curated collection focusing on exploring the capabilities of Large Language Models (LLMs) in planning and reasoning tasks. It includes research papers, code repositories, and benchmarks that delve into innovative techniques, reasoning limitations, and standardized evaluations related to LLMs' performance in complex cognitive tasks. The repository serves as a comprehensive resource for researchers, developers, and enthusiasts interested in understanding the advancements and challenges in leveraging LLMs for planning and reasoning in real-world scenarios.

This repository contains a collection of sample applications and Jupyter Notebooks for hands-on experience with Pinecone vector databases and common AI patterns, tools, and algorithms. It includes production-ready examples for review and support, as well as learning-optimized examples for exploring AI techniques and building applications. Users can contribute, provide feedback, and collaborate to improve the resource.

TagUI is an open-source RPA tool that allows users to automate repetitive tasks on their computer, including tasks on websites, desktop apps, and the command line. It supports multiple languages and offers features like interacting with identifiers, automating data collection, moving data between TagUI and Excel, and sending Telegram notifications. Users can create RPA robots using MS Office Plug-ins or text editors, run TagUI on the cloud, and integrate with other RPA tools. TagUI prioritizes enterprise security by running on users' computers and not storing data. It offers detailed logs, enterprise installation guides, and support for centralised reporting.

Candle-vllm is an efficient and easy-to-use platform designed for inference and serving local LLMs, featuring an OpenAI compatible API server. It offers a highly extensible trait-based system for rapid implementation of new module pipelines, streaming support in generation, efficient management of key-value cache with PagedAttention, and continuous batching. The tool supports chat serving for various models and provides a seamless experience for users to interact with LLMs through different interfaces.

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

CoLLM is a novel method that integrates collaborative information into Large Language Models (LLMs) for recommendation. It converts recommendation data into language prompts, encodes them with both textual and collaborative information, and uses a two-step tuning method to train the model. The method incorporates user/item ID fields in prompts and employs a conventional collaborative model to generate user/item representations. CoLLM is built upon MiniGPT-4 and utilizes pretrained Vicuna weights for training.

Aim is an open-source, self-hosted ML experiment tracking tool designed to handle 10,000s of training runs. Aim provides a performant and beautiful UI for exploring and comparing training runs. Additionally, its SDK enables programmatic access to tracked metadata — perfect for automations and Jupyter Notebook analysis. **Aim's mission is to democratize AI dev tools 🎯**

Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.

Firecrawl is an API service that takes a URL, crawls it, and converts it into clean markdown. It crawls all accessible subpages and provides clean markdown for each, without requiring a sitemap. The API is easy to use and can be self-hosted. It also integrates with Langchain and Llama Index. The Python SDK makes it easy to crawl and scrape websites in Python code.

ChatMate-GPT is a chat application based on Open AI GPT-3, developed using React Native for Android and iOS. It allows users to chat with GPT in a conversational format, supports multiple language and interface themes settings, includes a ChatGPT-Shortcut prompt word library, offers highly customizable API settings, supports various message reply features like Markdown rendering and CSV export, enables iCloud synchronization for chat sessions, provides multiple API server settings, URL Scheme support, message sorting, font size customization, real-time message token and cost display, and more.

Catalyst is a C# Natural Language Processing library designed for speed, inspired by spaCy's design. It provides pre-trained models, support for training word and document embeddings, and flexible entity recognition models. The library is fast, modern, and pure-C#, supporting .NET standard 2.0. It is cross-platform, running on Windows, Linux, macOS, and ARM. Catalyst offers non-destructive tokenization, named entity recognition, part-of-speech tagging, language detection, and efficient binary serialization. It includes pre-built models for language packages and lemmatization. Users can store and load models using streams. Getting started with Catalyst involves installing its NuGet Package and setting the storage to use the online repository. The library supports lazy loading of models from disk or online. Users can take advantage of C# lazy evaluation and native multi-threading support to process documents in parallel. Training a new FastText word2vec embedding model is straightforward, and Catalyst also provides algorithms for fast embedding search and dimensionality reduction.

RTutor is an AI-based app that generates and tests R code by translating natural language into R scripts using API calls to OpenAI's ChatGPT. It executes the scripts within the Shiny platform, generating R Markdown source files and HTML reports. The tool features GPT-4 for accurate code, comprehensive EDA reports, and a chat window for code explanation, making it ideal for learning R and statistics.

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.

Learn Rust by Hands-on Labs and AI

Hello! I'm your Rust language learning and practical assistant created by AlexZhang. I can help you learn and practice Rust whether you are a beginner or professional. I can provide suitable learning resources and hands-on projects for you. You can view all supported shortcut commands with /list.

Learn ROS/ROS2 at any level, from beginner to expert with rosGPT - and build Docker containers to test your robot anywhere.

Specializes in teaching and analyzing the Rust programming language.

A virtual platform for robotics engineering and programming education.

A bot to practice your Russian

I teach Rust with examples and humor.

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I make Rust learning fun with stories, metaphors, and visuals!

Romani language and culture guide, adaptable in teaching style.

Educator pe Codul Rutier Român 2023

Customized React lessons fitting a 2-hour daily schedule.

Your go-to Roblox aficionado!

Ruby interview prep guide with easy-to-understand explanations.

Expert in Ruby programming, offering code generation, learning support, and code review.

An expert in Rust adept at explaining code and teaching you the language.

Your expert guide to mastering Rust programming.

Your Ruby coding assistant.

Live React Interviewer

Adaptable Rust Programming Expert