Best AI tools for< Understand Machine Learning Concepts >

The AI Insights website provides quick insights and summaries from leading AI videos on YouTube. It covers a wide range of topics related to artificial intelligence, including key learnings, advancements, and future trends in the AI landscape. Users can stay updated on the latest developments in AI through video summaries and podcasts, gaining valuable knowledge and understanding of complex AI concepts.

Artificial Intelligence in Plain English is an AI tool that provides insightful articles and resources on AI, machine learning, and data science in an easy-to-understand manner. The platform covers a wide range of topics related to AI applications, advancements, and their impact on various industries. Users can access in-depth tutorials, reviews, and news updates to stay informed about the latest developments in the field of artificial intelligence.

AI Summer is a free educational platform that covers research and applied trends in AI and Deep Learning. It provides accessible and comprehensive content from the entire spectrum of AI to bridge the gap between researchers and the public. The platform simplifies complex concepts and drives scientific research by offering highly-detailed overviews of recent deep learning developments and thorough tutorials on popular frameworks. AI Summer is a community that seeks to demystify the AI landscape and enable new technological innovations.

The AI Blueprint is a weekly newsletter that provides insights and updates on the world of AI and machine learning. Created by Avi Roshkovan, the newsletter covers a range of topics from practical tips to theoretical concepts, making it a valuable resource for startups looking to leverage technology effectively. With a focus on simplicity and practicality, The AI Blueprint aims to demystify AI and make it accessible to a wider audience.

Explainpaper is an AI-powered tool designed to simplify and explain dense sections in research papers. Users can upload a paper, highlight confusing text, and receive explanations to make research papers easier to read. The tool leverages AI and machine learning models to help users understand complex concepts more efficiently. It is used and praised by researchers for reducing review time and aiding in learning complex topics. With Explainpaper, users can delve into machine learning and other intricate subjects with confidence and ease.

TalkToMe.AI is a comprehensive platform dedicated to artificial intelligence, offering a wide range of resources for enthusiasts and professionals alike. From interactive quizzes on various AI topics to in-depth articles on machine learning algorithms and neural networks, the website aims to educate and inspire individuals interested in the field of AI. With a focus on demystifying complex concepts and keeping users updated on the latest advancements, TalkToMe.AI serves as a trusted companion for anyone looking to explore the fascinating realm of artificial intelligence.

ELI5 is an AI-powered website that simplifies complex topics into easy-to-understand explanations. It uses natural language processing to break down concepts into clear and concise language, making them accessible to people of all ages and backgrounds. ELI5 covers a wide range of subjects, from science and technology to history and culture. It also offers a variety of tools for educators, including lesson plans, discussion questions, and quizzes.

Legalese Decoder is an AI-powered web application designed to translate legal documents into plain English. It utilizes artificial intelligence, natural language processing, and machine learning techniques to analyze legal documents, identify key terms and concepts, and provide definitions and explanations in simpler language. The tool aims to help users, especially non-legal professionals, understand complex legal jargon and agreements more easily, ultimately empowering them to make informed decisions regarding legal matters.

Structurepedia is an AI-powered platform that maps the structure of knowledge by providing structured and interactive information on various topics, including neural network architecture variants and other important concepts in machine learning and artificial intelligence. It offers a new way to learn by allowing users to explore topics through visual diagrams and detailed resources, making it easier to understand complex information. Structurepedia aims to revolutionize the way people access and comprehend knowledge in the age of AI, acting as a modern encyclopedia and search engine tailored for the AI era.

Socratic is an AI-powered learning tool that provides students with personalized support in various subjects, including Science, Math, Literature, and Social Studies. It utilizes text and speech recognition to surface relevant learning resources and offers visual explanations of important concepts. Socratic is highly regarded by both teachers and students for its ability to clarify complex topics and supplement classroom learning.

Brick Generator is a proof of concept tool that allows users to generate 3D brick models from text descriptions. It is powered by artificial intelligence and machine learning algorithms, which enable it to understand the user's intent and create realistic and detailed models. The tool is still in its early stages of development, but it has the potential to revolutionize the way that architects, engineers, and designers create and visualize their projects.

SciSpace is an AI-powered tool that helps researchers understand research papers better. It can explain and elaborate most academic texts in simple words. It is a great tool for students, researchers, and anyone who wants to learn more about a particular topic. SciSpace has a user-friendly interface and is easy to use. Simply upload a research paper or enter a URL, and SciSpace will do the rest. It will highlight key concepts, provide definitions, and generate a summary of the paper. SciSpace can also be used to generate citations and find related papers.

OpenRead is an AI-powered research tool that helps users discover, understand, and organize scientific literature. It offers a variety of features to make research more efficient and effective, including semantic search, AI summarization, and note-taking tools. OpenRead is designed to help researchers of all levels, from students to experienced professionals, save time and improve their research outcomes.

ExplainThis is an AI-powered assistant that helps you understand the web. It can explain key concepts, summarize content, and provide context without leaving the webpage. With ExplainThis, you can learn and grow while you browse, making your daily browsing more informative and efficient.

Detangle is a legal document analysis tool that helps users understand complex legal documents without the need for an attorney. It provides a summary of the document, identifies key terms and concepts, and highlights potential issues. Detangle is designed to save users time and money by making legal documents more accessible and understandable.

PrepSup is a powerful AI-powered learning platform that provides students with personalized study materials, an AI tutor, and a PDF analyzer to help them excel in their studies. With PrepSup, students can create and share flashcards, access a vast library of pre-made flashcards, and get instant feedback on their progress. The AI tutor provides personalized recommendations and guidance, helping students identify areas for improvement and develop effective study strategies. The PDF analyzer extracts key concepts and insights from PDFs, making it easier for students to understand and retain information. Whether you're preparing for a test, writing a paper, or simply trying to learn a new subject, PrepSup is the perfect tool to help you succeed.

Outset is an AI-powered research platform that enables users to conduct and synthesize video, audio, and text conversations with hundreds of participants at once. It uses AI to moderate conversations, identify common themes, tag relevant conversations, and pull out powerful quotes. Outset is designed to help researchers understand the 'why' behind answers and gain deeper insights into the people they serve.

Summarize.ing is an AI-powered tool that provides instant summaries of YouTube videos. It helps users save time by extracting key insights, concepts, and highlights from videos, making it easier to understand and retain information. The tool is particularly useful for educational content, tutorials, and news videos.

Voicepanel is an AI-powered platform that helps businesses gather detailed feedback from their customers at unprecedented speed and scale. It uses AI to recruit target audiences, conduct interviews over voice or video, and synthesize actionable insights instantly. Voicepanel's platform is easy to use and can be set up in minutes. It offers a variety of features, including AI interviewing, AI recruiting, and AI synthesis. Voicepanel is a valuable tool for businesses that want to gain a deeper understanding of their customers and make better decisions.

xAI Grok is a visual analytics platform that helps users understand and interpret machine learning models. It provides a variety of tools for visualizing and exploring model data, including interactive charts, graphs, and tables. xAI Grok also includes a library of pre-built visualizations that can be used to quickly get started with model analysis.

The 'machine-learning-research' repository is a comprehensive collection of resources related to mathematics, machine learning, deep learning, artificial intelligence, data science, and various scientific fields. It includes materials such as courses, tutorials, books, podcasts, communities, online courses, papers, and dissertations. The repository covers topics ranging from fundamental math skills to advanced machine learning concepts, with a focus on applications in healthcare, genetics, computational biology, precision health, and AI in science. It serves as a valuable resource for individuals interested in learning and researching in the fields of machine learning and related disciplines.

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.

The 100 Days in AI repository provides a comprehensive roadmap for individuals to learn Artificial Intelligence over a period of 100 days. It covers topics ranging from basic programming in Python to advanced concepts in AI, including machine learning, deep learning, and specialized AI topics. The repository includes daily tasks, resources, and exercises to ensure a structured learning experience. By following this roadmap, users can gain a solid understanding of AI and be prepared to work on real-world AI projects.

The Machine Learning Road Map is a comprehensive guide designed to take individuals from various levels of machine learning knowledge to a basic understanding of machine learning principles using high-quality, free resources. It aims to simplify the complex and rapidly growing field of machine learning by providing a structured roadmap for learning. The guide emphasizes the importance of understanding AI for everyone, the need for patience in learning machine learning due to its complexity, and the value of learning from experts in the field. It covers five different paths to learning about machine learning, catering to consumers, aspiring AI researchers, ML engineers, developers interested in building ML applications, and companies looking to implement AI solutions.

This repository focuses on Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs). It provides code and resources to augment LLMs with real-time data for dynamic, context-aware applications. The content covers topics such as semantic search, fine-tuning embeddings, building RAG chatbots, evaluating LLMs, and using knowledge graphs in RAG. Prerequisites include Python skills, knowledge of machine learning and LLMs, and introductory experience with NLP and AI models.

The LLM course is divided into three parts: 1. 🧩 **LLM Fundamentals** covers essential knowledge about mathematics, Python, and neural networks. 2. 🧑‍🔬 **The LLM Scientist** focuses on building the best possible LLMs using the latest techniques. 3. 👷 **The LLM Engineer** focuses on creating LLM-based applications and deploying them. For an interactive version of this course, I created two **LLM assistants** that will answer questions and test your knowledge in a personalized way: * 🤗 **HuggingChat Assistant**: Free version using Mixtral-8x7B. * 🤖 **ChatGPT Assistant**: Requires a premium account. ## 📝 Notebooks A list of notebooks and articles related to large language models. ### Tools | Notebook | Description | Notebook | |----------|-------------|----------| | 🧐 LLM AutoEval | Automatically evaluate your LLMs using RunPod |  | | 🥱 LazyMergekit | Easily merge models using MergeKit in one click. |  | | 🦎 LazyAxolotl | Fine-tune models in the cloud using Axolotl in one click. |  | | ⚡ AutoQuant | Quantize LLMs in GGUF, GPTQ, EXL2, AWQ, and HQQ formats in one click. |  | | 🌳 Model Family Tree | Visualize the family tree of merged models. |  | | 🚀 ZeroSpace | Automatically create a Gradio chat interface using a free ZeroGPU. |  |

The 'awesome-sound_event_detection' repository is a curated reading list focusing on sound event detection and Sound AI. It includes research papers covering various sub-areas such as learning formulation, network architecture, pooling functions, missing or noisy audio, data augmentation, representation learning, multi-task learning, few-shot learning, zero-shot learning, knowledge transfer, polyphonic sound event detection, loss functions, audio and visual tasks, audio captioning, audio retrieval, audio generation, and more. The repository provides a comprehensive collection of papers, datasets, and resources related to sound event detection and Sound AI, making it a valuable reference for researchers and practitioners in the field.

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.

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.

This repository provides resources and materials for learning fundamental mathematical concepts essential for artificial intelligence, including linear algebra, calculus, and LaTeX. It includes lecture notes, video playlists, books, and practical sessions to help users grasp key concepts. The repository aims to equip individuals with the necessary mathematical foundation to excel in machine learning and AI-related fields.

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

This repository contains materials for the Microsoft Learn AI Fundamentals module. It covers the basics of artificial intelligence, machine learning, and data science. The content includes hands-on labs, interactive learning modules, and assessments to help learners understand key concepts and techniques in AI. Whether you are new to AI or looking to expand your knowledge, this module provides a comprehensive introduction to the fundamentals of AI.

AI-PhD-S24 is a mono-repo for the PhD course 'AI for Business Research' at CUHK Business School in Spring 2024. The course aims to provide a basic understanding of machine learning and artificial intelligence concepts/methods used in business research, showcase how ML/AI is utilized in business research, and introduce state-of-the-art AI/ML technologies. The course includes scribed lecture notes, class recordings, and covers topics like AI/ML fundamentals, DL, NLP, CV, unsupervised learning, and diffusion models.

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 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.

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.

The Radicalbit AI Monitoring Platform provides a comprehensive solution for monitoring Machine Learning and Large Language models in production. It helps proactively identify and address potential performance issues by analyzing data quality, model quality, and model drift. The repository contains files and projects for running the platform, including UI, API, SDK, and Spark components. Installation using Docker compose is provided, allowing deployment with a K3s cluster and interaction with a k9s container. The platform documentation includes a step-by-step guide for installation and creating dashboards. Community engagement is encouraged through a Discord server. The roadmap includes adding functionalities for batch and real-time workloads, covering various model types and tasks.

The AI Toolkit by Ostris is a collection of tools for machine learning, specifically designed for image generation, LoRA (latent representations of attributes) extraction and manipulation, and model training. It provides a user-friendly interface and extensive documentation to make it accessible to both developers and non-developers. The toolkit is actively under development, with new features and improvements being added regularly. Some of the key features of the AI Toolkit include: - Batch Image Generation: Allows users to generate a batch of images based on prompts or text files, using a configuration file to specify the desired settings. - LoRA (lierla), LoCON (LyCORIS) Extractor: Facilitates the extraction of LoRA and LoCON representations from pre-trained models, enabling users to modify and manipulate these representations for various purposes. - LoRA Rescale: Provides a tool to rescale LoRA weights, allowing users to adjust the influence of specific attributes in the generated images. - LoRA Slider Trainer: Enables the training of LoRA sliders, which can be used to control and adjust specific attributes in the generated images, offering a powerful tool for fine-tuning and customization. - Extensions: Supports the creation and sharing of custom extensions, allowing users to extend the functionality of the toolkit with their own tools and scripts. - VAE (Variational Auto Encoder) Trainer: Facilitates the training of VAEs for image generation, providing users with a tool to explore and improve the quality of generated images. The AI Toolkit is a valuable resource for anyone interested in exploring and utilizing machine learning for image generation and manipulation. Its user-friendly interface, extensive documentation, and active development make it an accessible and powerful tool for both beginners and experienced users.

Awesome AI Tools is a curated list of popular tools and resources for artificial intelligence enthusiasts. It includes a wide range of tools such as machine learning libraries, deep learning frameworks, data visualization tools, and natural language processing resources. Whether you are a beginner or an experienced AI practitioner, this repository aims to provide you with a comprehensive collection of tools to enhance your AI projects and research. Explore the list to discover new tools, stay updated with the latest advancements in AI technology, and find the right resources to support your AI endeavors.

This repository serves as an educational resource for pharmaceutical and chemistry students to learn the basics of Deep Learning through a collection of Jupyter Notebooks. The content covers various topics such as Introduction to Jupyter, Python, Cheminformatics & RDKit, Linear Regression, Data Science, Linear Algebra, Neural Networks, PyTorch, Convolutional Neural Networks, Transfer Learning, Recurrent Neural Networks, Autoencoders, Graph Neural Networks, and Summary. The notebooks aim to provide theoretical concepts to understand neural networks through code completion, but instructors are encouraged to supplement with their own lectures. The work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

A tech guide for software engineers, focusing on the latest tools and foundational knowledge.

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] .

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I assist in studying for an algorithms exam, guiding through concepts and problems.

Richard Feynman-inspired guide for learning AI and data science

An AI-powered tool that makes learning about AI accessible to everyone.

Guides in learning complex topics

Get help with handpicked college textbooks. Ask for commands. Learn theory + code simultaneously.

A guide for ML & LLM bootcamp with a bioengineering background.

Explain Like I'm Five Simplifier

Learn coding in an interactive process using metaphors and analogies for simplified understanding.

Decodes AI papers: Summarizes, clarifies topics, and lists key ideas.

AI exam prep assistant offering study tips and concept explanations

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Simplifies complex topics into easy-to-understand, concise explanations for adults.

"LikeImFive" is a specialized GPT designed to provide simplified explanations and clear answers to a wide range of everyday questions. It is tailored for those seeking to understand complex topics in simple, straightforward terms. No Fluff.

Guiding students in understanding discrete math.

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