Best AI tools for< Virtual Tutor >

TutorOcean is an online tutoring platform that connects students with expert tutors from around the world. Students can search for tutors based on subject, language, price, and availability, and then book sessions directly with the tutor of their choice. TutorOcean offers a wide range of subjects, including math, science, languages, test prep, and more. Tutors on TutorOcean come from a variety of backgrounds and have different levels of experience and qualifications. Many tutors are certified teachers, while others have extensive experience in their subject area. Students can view vetted tutor profiles and ratings to help them choose the right tutor for their needs.

Cognii is an AI-based educational technology provider that offers solutions for K-12, higher education, and corporate training markets. Their award-winning EdTech product enables personalized learning, intelligent tutoring, open response assessments, and rich analytics. Cognii's Virtual Learning Assistant engages students in chatbot-style conversations, providing instant feedback, personalized hints, and guiding towards mastery. The platform aims to deliver 21st-century online education with superior learning outcomes and cost efficiency.

Sara is an AI-powered platform that serves as a virtual tutor and exam planner. It leverages artificial intelligence to provide personalized learning experiences and help students prepare for exams efficiently. With Sara, users can access study materials, receive customized study plans, track their progress, and get feedback on their performance. The platform aims to enhance learning outcomes by offering adaptive learning solutions tailored to individual needs.

Speak is a language learning app that uses AI to help you improve your speaking skills. It offers a variety of features, including personalized lessons, instant feedback, and a virtual tutor. Speak is designed to be fun and engaging, and it can help you learn a new language quickly and easily.

Dors is a free online English learning platform that offers a variety of interactive modules to help users improve their English skills. The AI Tutor module allows users to practice speaking and listening with a virtual tutor, while the Speaking module provides personalized pronunciation training. The Reading module offers news articles tailored to the user's level, and the Writing module helps users improve their writing skills through日記 writing and AI-powered grammar checking.

Educationist.AI is an AI-powered platform designed to enhance the field of education. It utilizes artificial intelligence to provide personalized learning experiences, optimize teaching methods, and improve student outcomes. The platform offers a wide range of educational tools and resources, catering to students, teachers, and educational institutions. With its innovative approach, Educationist.AI aims to revolutionize the way education is delivered and received.

Tutory, formerly known as Persona, is an AI-powered educational platform that introduces Dahlia, a conversational AI system designed to tutor students in Math, Science, Computer Science, and English. Dahlia offers personalized support through a user-friendly conversational interface, catering to individual learning styles and needs. The system is open domain, capable of engaging students in 130 languages worldwide, ensuring no student is left behind.

Studyquick is an AI-powered tool designed for students to streamline their learning process. By uploading university scripts, lectures, videos, and audio recordings, users can benefit from AI-generated study notes, practice exams, podcasts, and a virtual AI tutor. Studyquick aims to revolutionize the way students prepare for exams by providing personalized and efficient study materials tailored to individual needs. With features like KI-generated study notes, personalized study assistance, and quick access to study materials, Studyquick offers a comprehensive solution for students looking to enhance their learning experience.

CheatGPT is an AI-powered virtual study assistant designed to help students with their academic queries. It offers fast and accurate answers to a wide range of questions, covering various subjects. The application utilizes advanced AI models like GPT-4o and Claude 3.5 Sonnet to provide personalized assistance to users. In addition to text-based queries, CheatGPT also supports image-based questions, translations, and grammar corrections. With a user-friendly interface, CheatGPT aims to enhance the learning experience for students worldwide.

Brain Buddy is an AI-powered tutoring platform that provides tailored assistance for educational, professional, and personal development. It offers instant help, answers, and reports tailored to the user's needs. Brain Buddy is designed to cater to users of all ages and skill levels, providing personalized assistance to help them grow and improve in their work, studies, or personal interests. The platform can assist with a wide range of subjects and topics, generate comprehensive reports, essays, or articles, and ensure the security of users' personal information.

Makebelieve is an interactive platform where users can chat with virtual characters in English, Spanish, French, or German. The characters, Ani and Dan, have backgrounds in psychology and are designed to be empathetic, playful, and adventurous. Users can also create custom characters for chatting. The platform aims to provide a unique and engaging experience for users to interact with virtual personalities and improve their wellbeing through conversations and interactions.

Botfriend is an AI-powered virtual friend and companion that allows users to chat about anything they want. It is designed to provide companionship, support, and entertainment. Botfriend is trained on a massive dataset of text and code, and it is able to understand and respond to a wide range of topics. It is also able to generate creative content, such as stories and poems.

Realistics is an AI-powered chatbot app that provides users with access to a variety of virtual assistants, each with their own unique personality and expertise. Users can chat with these assistants on a wide range of topics, from fashion and beauty to career advice and financial planning. Realistics is currently available for iOS devices, with plans to expand to Android and web browsers in the future.

LustGF is an AI-powered virtual girlfriend simulator that allows users to create and interact with their own custom AI companions. With advanced customization options, users can design their dream girlfriend's appearance, personality, and voice. The app features uncensored AI chat, sexting, and dirty talk, as well as the ability to receive nude images and voice messages. Users can also roleplay and fall in love with their virtual partners. LustGF is available as a web app and mobile app for Android and iOS devices.

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.

Candy.ai is an AI-powered platform that allows users to create and interact with realistic AI girlfriends. Users can customize their girlfriend's appearance, personality, and interests, and then chat with her, send her messages, and even ask her for pictures. Candy.ai is designed to provide users with a safe and private space to explore their fantasies and desires.

DreamGF is an AI-powered platform that allows users to create and interact with virtual girlfriends. Users can customize their girlfriend's appearance, personality, and interests, and then engage in conversations, send messages, and even request photos. DreamGF is designed to provide a safe and private space for users to explore their fantasies and desires.

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.

Free ChatGPT Omni (GPT4o) is a user-friendly website that allows users to effortlessly chat with ChatGPT for free. It is designed to be accessible to everyone, regardless of language proficiency or technical expertise. GPT4o is OpenAI's groundbreaking multimodal language model that integrates text, audio, and visual inputs and outputs, revolutionizing human-computer interaction. The website offers real-time audio interaction, multimodal integration, advanced language understanding, vision capabilities, improved efficiency, and safety measures.

MessengerX.io is an AI-powered platform that allows users to chat with uncensored AI chatbots across various genres such as anime, dating, fantasy, and more. Users can interact with virtual characters, including AI boyfriends, girlfriends, and public figures, for entertainment, companionship, and learning purposes. The platform also features AI characters like Ken, Giga Chad, and Fantasy MathTutor, offering interactive experiences and problem-solving guidance. MessengerX.io provides a unique and engaging way for users to connect with AI personalities and explore different scenarios in a chat-based environment.

Awesome-LLM is a curated list of resources related to large language models, focusing on papers, projects, frameworks, tools, tutorials, courses, opinions, and other useful resources in the field. It covers trending LLM projects, milestone papers, other papers, open LLM projects, LLM training frameworks, LLM evaluation frameworks, tools for deploying LLM, prompting libraries & tools, tutorials, courses, books, and opinions. The repository provides a comprehensive overview of the latest advancements and resources in the field of large language models.

Awesome LLM compression research papers and tools to accelerate LLM training and inference.

This repository contains scripts for installing HPC and AI libraries and tools to build Azure HPC/AI images. It streamlines the process of provisioning compute-intensive workloads and crafting advanced AI models in the cloud, ensuring efficiency and reliability in deployments.

Tutor-GPT is an LLM powered learning companion developed by Plastic Labs. It dynamically reasons about your learning needs and updates its own prompts to best serve you. It is an expansive learning companion that uses theory of mind experiments to provide personalized learning experiences. The project is split into different modules for backend logic, including core logic, discord bot implementation, FastAPI API interface, NextJS web front end, common utilities, and SQL scripts for setting up local supabase. Tutor-GPT is powered by Honcho to build robust user representations and create personalized experiences for each user. Users can run their own instance of the bot by following the provided instructions.

This is a development tutorial for eBPF based on CO-RE (Compile Once, Run Everywhere). It provides practical eBPF development practices from beginner to advanced, including basic concepts, code examples, and real-world applications. The tutorial focuses on eBPF examples in observability, networking, security, and more. It aims to help eBPF application developers quickly grasp eBPF development methods and techniques through examples in languages such as C, Go, and Rust. The tutorial is structured with independent eBPF tool examples in each directory, covering topics like kprobes, fentry, opensnoop, uprobe, sigsnoop, execsnoop, exitsnoop, runqlat, hardirqs, and more. The project is based on libbpf and frameworks like libbpf, Cilium, libbpf-rs, and eunomia-bpf for development.

ASR-LLM-TTS is a repository that provides detailed tutorials for setting up the environment, including installing anaconda, ffmpeg, creating virtual environments, and installing necessary libraries such as pytorch, torchaudio, edge-tts, funasr, and more. It also introduces features like voiceprint recognition, custom wake words, and conversation history memory. The repository combines CosyVoice for speech synthesis, SenceVoice for speech recognition, and QWen2.5 for dialogue understanding. It offers multiple speech synthesis methods including CoosyVoice, pyttsx3, and edgeTTS, with scripts for interactive inference provided. The repository aims to enable real-time speech interaction and multi-modal interactions involving audio and video.

The 'local-talking-llm' repository provides a tutorial on building a voice assistant similar to Jarvis or Friday from Iron Man movies, capable of offline operation on a computer. The tutorial covers setting up a Python environment, installing necessary libraries like rich, openai-whisper, suno-bark, langchain, sounddevice, pyaudio, and speechrecognition. It utilizes Ollama for Large Language Model (LLM) serving and includes components for speech recognition, conversational chain, and speech synthesis. The implementation involves creating a TextToSpeechService class for Bark, defining functions for audio recording, transcription, LLM response generation, and audio playback. The main application loop guides users through interactive voice-based conversations with the assistant.

This repository provides sample applications and tutorials to showcase the power of Amazon Bedrock with Python. It helps Python developers understand how to harness Amazon Bedrock in building generative AI-enabled applications. The resources also demonstrate integration with vector databases using RAG (Retrieval-augmented generation) and services like Amazon Aurora, RDS, and OpenSearch. Additionally, it explores using langchain and streamlit to create effective experimental applications.

SPEAR (Simulator for Photorealistic Embodied AI Research) is a powerful tool for training embodied agents. It features 300 unique virtual indoor environments with 2,566 unique rooms and 17,234 unique objects that can be manipulated individually. Each environment is designed by a professional artist and features detailed geometry, photorealistic materials, and a unique floor plan and object layout. SPEAR is implemented as Unreal Engine assets and provides an OpenAI Gym interface for interacting with the environments via Python.

AI4U is a tool that provides a framework for modeling virtual reality and game environments. It offers an alternative approach to modeling Non-Player Characters (NPCs) in Godot Game Engine. AI4U defines an agent living in an environment and interacting with it through sensors and actuators. Sensors provide data to the agent's brain, while actuators send actions from the agent to the environment. The brain processes the sensor data and makes decisions (selects an action by time). AI4U can also be used in other situations, such as modeling environments for artificial intelligence experiments.

Awesome OpenVINO is a curated list of AI projects based on the OpenVINO toolkit, offering a rich assortment of projects, libraries, and tutorials covering various topics like model optimization, deployment, and real-world applications across industries. It serves as a valuable resource continuously updated to maximize the potential of OpenVINO in projects, featuring projects like Stable Diffusion web UI, Visioncom, FastSD CPU, OpenVINO AI Plugins for GIMP, and more.

Simulator Controller is a modular administration and controller application for Sim Racing, featuring a comprehensive plugin automation framework for external controller hardware. It includes voice chat capable Assistants like Virtual Race Engineer, Race Strategist, Race Spotter, and Driving Coach. The tool offers features for setup, strategy development, monitoring races, and more. Developed in AutoHotkey, it supports various simulation games and integrates with third-party applications for enhanced functionality.

**deep** doctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated framework for fine-tuning, evaluating and running models. For more specific text processing tasks use one of the many other great NLP libraries. **deep** doctection focuses on applications and is made for those who want to solve real world problems related to document extraction from PDFs or scans in various image formats. **deep** doctection provides model wrappers of supported libraries for various tasks to be integrated into pipelines. Its core function does not depend on any specific deep learning library. Selected models for the following tasks are currently supported: * Document layout analysis including table recognition in Tensorflow with **Tensorpack**, or PyTorch with **Detectron2**, * OCR with support of **Tesseract**, **DocTr** (Tensorflow and PyTorch implementations available) and a wrapper to an API for a commercial solution, * Text mining for native PDFs with **pdfplumber**, * Language detection with **fastText**, * Deskewing and rotating images with **jdeskew**. * Document and token classification with all LayoutLM models provided by the **Transformer library**. (Yes, you can use any LayoutLM-model with any of the provided OCR-or pdfplumber tools straight away!). * Table detection and table structure recognition with **table-transformer**. * There is a small dataset for token classification available and a lot of new tutorials to show, how to train and evaluate this dataset using LayoutLMv1, LayoutLMv2, LayoutXLM and LayoutLMv3. * Comprehensive configuration of **analyzer** like choosing different models, output parsing, OCR selection. Check this notebook or the docs for more infos. * Document layout analysis and table recognition now runs with **Torchscript** (CPU) as well and **Detectron2** is not required anymore for basic inference. * [**new**] More angle predictors for determining the rotation of a document based on **Tesseract** and **DocTr** (not contained in the built-in Analyzer). * [**new**] Token classification with **LiLT** via **transformers**. We have added a model wrapper for token classification with LiLT and added a some LiLT models to the model catalog that seem to look promising, especially if you want to train a model on non-english data. The training script for LayoutLM can be used for LiLT as well and we will be providing a notebook on how to train a model on a custom dataset soon. **deep** doctection provides on top of that methods for pre-processing inputs to models like cropping or resizing and to post-process results, like validating duplicate outputs, relating words to detected layout segments or ordering words into contiguous text. You will get an output in JSON format that you can customize even further by yourself. Have a look at the **introduction notebook** in the notebook repo for an easy start. Check the **release notes** for recent updates. **deep** doctection or its support libraries provide pre-trained models that are in most of the cases available at the **Hugging Face Model Hub** or that will be automatically downloaded once requested. For instance, you can find pre-trained object detection models from the Tensorpack or Detectron2 framework for coarse layout analysis, table cell detection and table recognition. Training is a substantial part to get pipelines ready on some specific domain, let it be document layout analysis, document classification or NER. **deep** doctection provides training scripts for models that are based on trainers developed from the library that hosts the model code. Moreover, **deep** doctection hosts code to some well established datasets like **Publaynet** that makes it easy to experiment. It also contains mappings from widely used data formats like COCO and it has a dataset framework (akin to **datasets** so that setting up training on a custom dataset becomes very easy. **This notebook** shows you how to do this. **deep** doctection comes equipped with a framework that allows you to evaluate predictions of a single or multiple models in a pipeline against some ground truth. Check again **here** how it is done. Having set up a pipeline it takes you a few lines of code to instantiate the pipeline and after a for loop all pages will be processed through the pipeline.

Robocode Tank Royale is a programming game where the goal is to code a bot in the form of a virtual tank to compete against other bots in a virtual battle arena. The player is the programmer of a bot, who will have no direct influence on the game him/herself. Instead, the player must write a program with the logic for the brain of the bot. The program contains instructions to the bot about how it should move, scan for opponent bots, fire its gun, and how it should react to various events occurring during a battle. The name **Robocode** is short for "Robot code," which originates from the original/first version of the game. **Robocode Tank Royale** is the next evolution/version of the game, where bots can participate via the Internet/network. All bots run over a web socket. The game aims to help you learn how to program and improve your programming skills, and have fun while doing it. Robocode is also useful when studying or improving machine learning in a fast-running real-time game. Robocode's battles take place on a "battlefield," where bots fight it out until only one is left, like a Battle Royale game. Hence the name **Tank Royale**. Note that Robocode contains no gore, blood, people, and politics. The battles are simply for the excitement of the competition we appreciate so much.

SPEAR is a Simulator for Photorealistic Embodied AI Research that addresses limitations in existing simulators by offering 300 unique virtual indoor environments with detailed geometry, photorealistic materials, and unique floor plans. It provides an OpenAI Gym interface for interaction via Python, released under an MIT License. The simulator was developed with support from the Intelligent Systems Lab at Intel and Kujiale.

LLM4Opt is a collection of references and papers focusing on applying Large Language Models (LLMs) for diverse optimization tasks. The repository includes research papers, tutorials, workshops, competitions, and related collections related to LLMs in optimization. It covers a wide range of topics such as algorithm search, code generation, machine learning, science, industry, and more. The goal is to provide a comprehensive resource for researchers and practitioners interested in leveraging LLMs for optimization tasks.

Awesome-Embodied-AI is a curated list of papers on Embodied AI and related resources, tracking and summarizing research and industrial progress in the field. It includes surveys, workshops, tutorials, talks, blogs, and papers covering various aspects of Embodied AI, such as vision-language navigation, large language model-based agents, robotics, and more. The repository welcomes contributions and aims to provide a comprehensive overview of the advancements in Embodied AI.

Stable Diffusion is a text-to-image AI model that can generate realistic images from a given text prompt. It is a powerful tool that can be used for a variety of creative and practical applications, such as generating concept art, creating illustrations, and designing products. Stable Diffusion is also a great tool for learning about AI and machine learning. This repository contains a collection of tutorials and resources on how to use Stable Diffusion.

EZKL is a library and command-line tool for doing inference for deep learning models and other computational graphs in a zk-snark (ZKML). It enables the following workflow: 1. Define a computational graph, for instance a neural network (but really any arbitrary set of operations), as you would normally in pytorch or tensorflow. 2. Export the final graph of operations as an .onnx file and some sample inputs to a .json file. 3. Point ezkl to the .onnx and .json files to generate a ZK-SNARK circuit with which you can prove statements such as: > "I ran this publicly available neural network on some private data and it produced this output" > "I ran my private neural network on some public data and it produced this output" > "I correctly ran this publicly available neural network on some public data and it produced this output" In the backend we use the collaboratively-developed Halo2 as a proof system. The generated proofs can then be verified with much less computational resources, including on-chain (with the Ethereum Virtual Machine), in a browser, or on a device.

Tutor virtual de rock entusiasta y amigable, adaptando lecciones y ejercicios al nivel del alumno.

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A versatile AI assistant for information, problem-solving, and exploration.

A virtual platform for robotics engineering and programming education.

An assistant that intends to help TAs respond to their students' emails, messages, provide homework feedback and give instructions, and help improve the section discussion slides.

More than your average AI Teacher! A Teacher with a REAL personality👋🏻 Hi there! ❤️ Learn with me Brazilian Portuguese ✅ I coach beginner to advanced level 💬 Practice vocabulary, writing, reading, speaking, or learn a new topic 📲 Use voice in mobile for talking

Extensie ChatGPT specializată in simularea unui profesor virtual. Rezolvă temele online.

A virtual mentor for ESL learners

Assistante pédagogique virtuelle pour des cours de marketing captivants.

My goal is to adaptively teach you in the most efficient way possible according to how you learn best. I can teach you virtually anything.

A godlike AI guru guiding towards wisdom.

Respectful, concise, and kind English teacher.

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GPT assistant that helps you earn money online

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