Best AI tools for< Teach Machine Learning >

Google Colab is a free Jupyter notebook environment that runs in the cloud. It allows you to write and execute Python code without having to install any software or set up a local environment. Colab notebooks are shareable, so you can easily collaborate with others on projects.

Quick, Draw! is a game built with machine learning. You draw, and a neural network tries to guess what you're drawing. Of course, it doesn't always work. But the more you play with it, the more it will learn. So far we have trained it on a few hundred concepts, and we hope to add more over time. We made this as an example of how you can use machine learning in fun ways.

DeepBeat is a program that uses machine learning techniques to generate rap lyrics by combining lines from existing rap songs. It tries to combine lines which rhyme and make sense together. Users can input keywords that they want to include in the lyrics, and DeepBeat will generate lyrics that include those keywords. Users can also generate lyrics line by line, using 'Suggest (Rhyming) Line' buttons or by writing lines themselves.

NuMind is an AI tool designed to solve information extraction tasks efficiently. It offers high-quality lightweight models tailored to users' needs, automating classification, entity recognition, and structured extraction. The tool is powered by task-specific and domain-agnostic foundation models, outperforming GPT-4 and similar models. NuMind provides solutions for various industries such as insurance and healthcare, ensuring privacy, cost-effectiveness, and faster NLP projects.

Teach Anything is an AI-powered tool that can generate answers to any question you ask. It is powered by GPT-3.5-turbo, which is one of the most advanced AI language models available. Teach Anything can be used for a variety of purposes, including: - Getting help with your homework - Learning new things - Getting creative inspiration - Writing code - Translating languages - And much more!

Teach Catalyst AI is an AI-powered teaching assistant designed to make teachers' work easier and more efficient. It offers a wide range of tools and templates to help teachers with tasks such as creating lesson plans, worksheets, quizzes, and student reports. Teach Catalyst AI also provides insights into teaching practices and helps teachers improve their classroom management skills. With Teach Catalyst AI, teachers can save time, reduce stress, and focus on what matters most: teaching.

Lingvanex is a cloud-based machine translation and speech recognition platform that provides businesses with a variety of tools to translate text, documents, and speech in over 100 languages. The platform is powered by artificial intelligence (AI) and machine learning (ML) technologies, which enable it to deliver high-quality translations that are both accurate and fluent. Lingvanex also offers a variety of features that make it easy for businesses to integrate translation and speech recognition into their workflows, including APIs, SDKs, and plugins for popular programming languages and platforms.

StoryNest.ai is a platform that uses artificial intelligence to generate interactive novels and stories. Users can choose from a variety of genres and settings, and then the AI will generate a unique story that they can interact with. Users can make choices that affect the plot of the story, and they can also chat with the AI to learn more about the characters and the world of the story.

StoryNest.ai is an AI-powered platform that allows users to create, share, and read interactive novels and stories. With StoryNest.ai, users can create their own branching storylines, add characters, and write dialogue. Readers can then choose their own path through the story, making choices that affect the outcome. StoryNest.ai also offers a library of pre-written stories that users can read and interact with.

The Institute of Computer Science at the University of Würzburg is a leading research and teaching institution in the field of computer science. With 29 professors and around 200 employees, the institute offers a wide range of study programs, including bachelor's, master's, and teaching degrees. The institute's research focuses on four main areas: Computing, Systems and Networks; Artificial Intelligence and Data Science; Human-Centered Computing; and Aerospace and Robotics.

101.school is an online learning platform that offers a wide range of courses on various topics, including AI, technology, business, and personal development. The platform uses AI to generate personalized learning experiences for each student, and it offers a variety of features to help students learn effectively, such as interactive lessons, quizzes, and discussion forums. 101.school also offers a variety of resources for educators, including lesson plans, teaching tips, and professional development opportunities.

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.

AutoDraw is a web-based drawing application that uses machine learning to help users create drawings. The application pairs machine learning with drawings from talented artists to help users draw stuff fast. AutoDraw is designed to be easy to use, even for people who have no experience with drawing. The application provides a variety of tools and features that make it easy to create drawings, including a library of pre-made shapes, a color palette, and a variety of brushes. AutoDraw also includes a community feature that allows users to share their drawings with others.

Synthesis is a web-based application that allows users to create realistic-sounding synthetic speech from text. The application uses a variety of AI techniques, including natural language processing and machine learning, to generate speech that is both natural-sounding and easy to understand. Synthesis can be used for a variety of purposes, including creating voiceovers for videos, podcasts, and presentations.

Lyrics into Song is an AI-powered online tool that transforms your lyrics into melodious songs. With the help of advanced natural language processing and machine learning algorithms, the AI analyzes the emotional content and structure of your lyrics to generate matching melodies and harmonies. Users can customize musical styles, instruments, and tempos to create personalized songs in various genres. The tool is designed to assist amateur songwriters, music teachers, and anyone looking to quickly create demo songs or explore different music styles.

Teachr is an online course creation platform that uses artificial intelligence to help users create and sell stunning courses. With Teachr, users can create interactive courses with 3D visuals, 360° perspectives, and augmented reality. They can also use speech recognition and AI voice-over technology to create engaging learning experiences. Teachr also offers a range of features to help users manage their courses, including a payment system, reward system, and fitness challenges. With Teachr, users can turn their expertise into a product that they can sell infinitely and create the perfect learning experience for their customers.

Wonder Tales Blog is a website that allows users to create personalized fairy tales for children. The website features a variety of templates and illustrations that can be used to create unique stories. The stories can be read in audio format or downloaded as PDFs. Wonder Tales Blog also offers a variety of resources for parents and educators, including tips on how to use fairy tales to teach children valuable life lessons.

StoryPanda is a website that allows users to create personalized instant stories for kids. Users can provide a small prompt, select the reading level, and choose an art style. StoryPanda will then generate a story with the user's child's name or amazing characters. The website offers a free plan that allows users to generate 3 creative stories per month with low-quality images and no audio version. The standard plan costs $99 per year and allows users to generate unlimited creative stories per month with HD images, high-quality audio, and printable stories.

NotePerformer is an Artificial Intelligence-based playback engine for musical notation. It analyzes your score and performs all instruments with natural musical phrasing. NotePerformer includes its own sounds, encompassing a large-scale modern symphonic orchestra. It is easy to install and use, and it supports VST3 libraries. NotePerformer is the perfect tool for composers, arrangers, and music educators who want to create high-quality musical performances.

Personify is a virtual camera platform that allows users to create and use avatars in video meetings. The platform offers a variety of features, including the ability to create custom avatars, import avatars from other platforms, and use a variety of backgrounds and effects. Personify is compatible with all major video conferencing software, including Zoom, Microsoft Teams, and Google Meet.

LlamaBot is a Pythonic bot interface to Large Language Models (LLMs), providing an easy way to experiment with LLMs in Jupyter notebooks and build Python apps utilizing LLMs. It supports all models available in LiteLLM. Users can access LLMs either through local models with Ollama or by using API providers like OpenAI and Mistral. LlamaBot offers different bot interfaces like SimpleBot, ChatBot, QueryBot, and ImageBot for various tasks such as rephrasing text, maintaining chat history, querying documents, and generating images. The tool also includes CLI demos showcasing its capabilities and supports contributions for new features and bug reports from the community.

Bootcamp Machine Learning is a one-week program designed by 42 AI to teach the basics of Machine Learning. The curriculum covers topics such as linear algebra, statistics, regression, classification, and regularization. Participants will learn concepts like gradient descent, hypothesis modeling, overfitting detection, logistic regression, and more. The bootcamp is ideal for individuals with prior knowledge of Python who are interested in diving into the field of artificial intelligence.

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-Powered Search provides code examples for the book 'AI-Powered Search' by Trey Grainger, Doug Turnbull, and Max Irwin. The book teaches modern machine learning techniques for building search engines that continuously learn from users and content to deliver more intelligent and domain-aware search experiences. It covers semantic search, retrieval augmented generation, question answering, summarization, fine-tuning transformer-based models, personalized search, machine-learned ranking, click models, and more. The code examples are in Python, leveraging PySpark for data processing and Apache Solr as the default search engine. The repository is open source under the Apache License, Version 2.0.

This repository is a comprehensive guide for individuals looking to start and improve their skills in Large Language Models (LLMs) without an advanced background in the field. It provides free resources, online courses, books, articles, and practical tips to become an expert in machine learning. The guide covers topics such as terminology, transformers, prompting, retrieval augmented generation (RAG), and more. It also includes recommendations for podcasts, YouTube videos, and communities to stay updated with the latest news in AI and LLMs.

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.

Fueling-Ambitions-Via-Book-Discoveries is an Advanced Machine Learning & AI Course designed for students, professionals, and AI researchers. The course integrates rigorous theoretical foundations with practical coding exercises, ensuring learners develop a deep understanding of AI algorithms and their applications in finance, healthcare, robotics, NLP, cybersecurity, and more. Inspired by MIT, Stanford, and Harvard’s AI programs, it combines academic research rigor with industry-standard practices used by AI engineers at companies like Google, OpenAI, Facebook AI, DeepMind, and Tesla. Learners can learn 50+ AI techniques from top Machine Learning & Deep Learning books, code from scratch with real-world datasets, projects, and case studies, and focus on ML Engineering & AI Deployment using Django & Streamlit. The course also offers industry-relevant projects to build a strong AI portfolio.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

RAG Time is a 5-week AI learning series focusing on Retrieval-Augmented Generation (RAG) concepts. The repository contains code samples, step-by-step guides, and resources to help users master RAG. It aims to teach foundational and advanced RAG concepts, demonstrate real-world applications, and provide hands-on samples for practical implementation.

This repository contains Jupyter-based tutorials for NLP, ML, AI in Python for classes in Computational Linguistics, Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI) at Indiana University.

LangGraph-learn is a community-driven project focused on mastering LangGraph and other AI-related topics. It provides hands-on examples and resources to help users learn how to create and manage language model workflows using LangGraph and related tools. The project aims to foster a collaborative learning environment for individuals interested in AI and machine learning by offering practical examples and tutorials on building efficient and reusable workflows involving language models.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

The UvA Deep Learning Tutorials repository contains a series of Jupyter notebooks designed to help understand theoretical concepts from lectures by providing corresponding implementations. The notebooks cover topics such as optimization techniques, transformers, graph neural networks, and more. They aim to teach details of the PyTorch framework, including PyTorch Lightning, with alternative translations to JAX+Flax. The tutorials are integrated as official tutorials of PyTorch Lightning and are relevant for graded assignments and exams.

This repository contains a collection of papers related to tool learning with large language models (LLMs). The papers are organized according to the survey paper 'Tool Learning with Large Language Models: A Survey'. The survey focuses on the benefits and implementation of tool learning with LLMs, covering aspects such as task planning, tool selection, tool calling, response generation, benchmarks, evaluation, challenges, and future directions in the field. It aims to provide a comprehensive understanding of tool learning with LLMs and inspire further exploration in this emerging area.

The 'ai-self-coding-book' repository is a guidebook that aims to teach how to create complex applications with commercial value using natural language and AI, rather than simple toy projects. It provides insights on AI programming concepts and practical applications, emphasizing real-world use cases and best practices for development.

The 'awesome-ai-llm4education' repository is a curated list of papers related to artificial intelligence (AI) and large language models (LLM) for education. It collects papers from top conferences, journals, and specialized domain-specific conferences, categorizing them based on specific tasks for better organization. The repository covers a wide range of topics including tutoring, personalized learning, assessment, material preparation, specific scenarios like computer science, language, math, and medicine, aided teaching, as well as datasets and benchmarks for educational research.

AITreasureBox is a comprehensive collection of AI tools and resources designed to simplify and accelerate the development of AI projects. It provides a wide range of pre-trained models, datasets, and utilities that can be easily integrated into various AI applications. With AITreasureBox, developers can quickly prototype, test, and deploy AI solutions without having to build everything from scratch. Whether you are working on computer vision, natural language processing, or reinforcement learning projects, AITreasureBox has something to offer for everyone. The repository is regularly updated with new tools and resources to keep up with the latest advancements in the field of artificial intelligence.

This course is designed to teach you how to harness the power of AI on the Raspberry Pi, with a focus on using an AI kit for computer vision tasks. Learn to integrate AI into IoT applications, from object detection to visual recognition. Suitable for hobbyists, students, and professionals to bring AI-driven solutions to life on resource-constrained devices like the Raspberry Pi.

I'm your Machine Learning and Python mentor, ready to teach and guide you.

I teach advanced AI concepts in an easy-to-understand way, with in-depth practical examples in every response. Please start the workflow with !topic [educational topic] .

Chess analysis and learning assistant

A GPT to teach you how to GPT (it's like so GPT) Can you make it to Level 100?

A detailed AI course builder, providing in-depth AI educational content.

精通进行英语到简体中文的专业翻译，擅长AI和机器学习术语

A gpt expert at solving programming problems. We have open-sourced the prompt here: https://github.com/ai-boost/awesome-gpts-prompts (This GPT isn't perfect, let's improve it together! 😊🛠️)

Master Class - Teaching and creating code examples.

Analyzes code for time and memory complexity

Are you still trying to figure out what the point of ChatGPT is? I'm here to help teach you the uses and limitations of ChatGPT! Click, type or say 'hello' to start 😄

Enhances English reading skills for all inclusive learners, providing supportive, engaging, and culturally sensitive content

A GPT that provides lectures on Quantum Field Theory

A GPT that provides lectures on Quantum Mechanics

AI Pixel Art Specialist & Educator

Comprehensive robotics resource for all levels.

I guide chess strategy and visualize board states.

Friendly and approachable Malayalam expert.

stand up comedy show

Anatomy image creator

Expert in language translation and cultural nuances。