Best AI tools for< Teach Python >

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.

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.

Hex is a collaborative data workspace that provides a variety of tools for working with data, including queries, notebooks, reports, data apps, and AI. It is designed to be easy to use for people of all technical skill levels, and it integrates with a variety of other tools and services. Hex is a powerful tool for data exploration, analysis, and visualization.

StudyWithGpt.com is a GPT-powered full-stack learning hub that provides personalized AI tutorials for various tech stacks including Java, PHP, Golang, Python, front-end, back-end, DevOps, and microservices. The AI Full-Stack Mentor offers tailored tutorials based on the user's learning objectives, breaking down knowledge points and providing 24/7 assistance. Users can ask questions, receive tutorial outlines, and get help with tough problems from the AI tutor.

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

AtozAi is an AI application designed to empower developers by providing AI-powered tools that enhance coding efficiency and productivity. The platform offers features such as AI-driven code debugging, efficient code conversion, smart regex generation, comprehensive code explanations, and instant text explanations. AtozAi aims to cover a wide range of coding tasks with specialized AI algorithms, continually expanding its toolkit to make tasks easier, more efficient, and creative for developers.

Dev Radar is an open-source, AI-powered news aggregator that helps users stay up to date with the latest trends in software development. It provides curated articles on various programming languages and frameworks, offering valuable insights for developers. Users can explore a wide range of topics related to JavaScript, Python, React, TypeScript, Rust, Go, Node.js, Deno, Ruby, and more. Dev Radar aims to streamline the process of discovering relevant and informative content in the fast-evolving tech industry.

Clarion Technologies is an AI-assisted development company that offers a wide range of software development services, including custom software development, web app development, mobile app development, cloud solutions, and Power BI solutions. They provide services for various technologies such as React Native, Java, Python, PHP, Laravel, and more. With a focus on AI-driven planning and Agile Project Execution Methodology, Clarion Technologies ensures top-quality results with faster time to market. They have a strong commitment to data security, compliance, and privacy, and offer on-demand access to skilled developers and tech architects.

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-O-Matic is an AI tool that allows users to create how-to videos from text instructions. It is an open source Jupyter notebook powered by Replicate, LangChain, and GPT-4. Users can easily generate videos on various topics without the need for a development environment. The tool utilizes AI technologies such as text-to-video conversion, script writing, music generation, and image creation to streamline the video creation process.

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.

Teacherbot is an AI-based platform designed to help teachers create high-quality teaching resources quickly and efficiently. It combines cutting-edge AI technology with teachers' expertise to generate diverse materials such as lesson plans, worksheets, assessments, and parent communications in seconds. The platform is tailored to meet the needs of busy teachers across all subjects and age groups, aiming to reduce their workload and enhance student learning. Teacherbot's vision is to empower teachers to focus on inspiring and educating students by providing tools that streamline lesson planning, assessment creation, and reporting tasks.

Class Companion is an AI teaching assistant tool designed to provide instant coaching and AI feedback to students on their assignments. It helps improve student engagement and outcomes by offering multiple attempts, targeted help, and personalized feedback. The tool supports various subjects and grades, allowing teachers to save time on manual feedback and focus on lesson planning and individual instruction. With features like AI-generated content, in-depth reporting, and customizable rubrics, Class Companion aims to enhance student learning and comprehension.

Alayna AI is an AI-powered platform that offers a variety of tools for educators to enhance their teaching experience. It includes features such as Google Slides Generator, Ask Alayna Chatbot, Teaching Resources Generator, Curriculum Co-Designer, and Image Generator. The platform aims to streamline tasks like creating presentations, generating teaching resources, and designing curriculum plans, ultimately saving time and providing valuable support to teachers.

Porosheets is an AI tool designed to enhance the learning experience in education. It provides features such as worksheet generation, rubric generation, lesson plan generation, live customer support, and multilingual support. Porosheets aims to support teachers in creating resources, help parents stay updated on their children's academics, and enable students to test themselves effectively. With a user-friendly interface and AI-powered functionalities, Porosheets simplifies educational tasks and promotes a more efficient and engaging learning environment.

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.

Arlinear is a free AI Quiz Maker that allows users to create quizzes and worksheets instantly using their own files. The AI-powered quiz maker works across various subjects like math, science, grammar, and more. Users can utilize Google Docs, Slides, PDFs, PowerPoints, Word Documents, or YouTube videos to generate personalized quizzes. The platform automatically grades quizzes and provides students with valuable feedback to enhance their learning experience. Arlinear simplifies the quiz creation process by analyzing file content and generating relevant questions to challenge students' understanding.

Quetab is a modern AI-driven platform designed to boost productivity, enhance skill sets, and facilitate learning through advanced technology. Users can create flashcards, generate questions, summarize text, and more with the help of AI tools. The platform offers a range of study sets, including US Citizenship Test Questions, Medical Terms Translation, and English Vocabulary Questions. Quetab aims to revolutionize learning efficiency and content creation by leveraging AI-powered solutions.

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.

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.

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 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.

MaixPy is a Python SDK that enables users to easily create AI vision projects on edge devices. It provides a user-friendly API for accessing NPU, making it suitable for AI Algorithm Engineers, STEM teachers, Makers, Engineers, Students, Enterprises, and Contestants. The tool supports Python programming, MaixVision Workstation, AI vision, video streaming, voice recognition, and peripheral usage. It also offers an online AI training platform called MaixHub. MaixPy is designed for new hardware platforms like MaixCAM, offering improved performance and features compared to older versions. The ecosystem includes hardware, software, tools, documentation, and a cloud platform.

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.

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.

Home LLM is a project that provides the necessary components to control your Home Assistant installation with a completely local Large Language Model acting as a personal assistant. The goal is to provide a drop-in solution to be used as a "conversation agent" component by Home Assistant. The 2 main pieces of this solution are Home LLM and Llama Conversation. Home LLM is a fine-tuning of the Phi model series from Microsoft and the StableLM model series from StabilityAI. The model is able to control devices in the user's house as well as perform basic question and answering. The fine-tuning dataset is a custom synthetic dataset designed to teach the model function calling based on the device information in the context. Llama Conversation is a custom component that exposes the locally running LLM as a "conversation agent" in Home Assistant. This component can be interacted with in a few ways: using a chat interface, integrating with Speech-to-Text and Text-to-Speech addons, or running the oobabooga/text-generation-webui project to provide access to the LLM via an API interface.

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.

Embodied Agents is a toolkit for integrating large multi-modal models into existing robot stacks with just a few lines of code. It provides consistency, reliability, scalability, and is configurable to any observation and action space. The toolkit is designed to reduce complexities involved in setting up inference endpoints, converting between different model formats, and collecting/storing datasets. It aims to facilitate data collection and sharing among roboticists by providing Python-first abstractions that are modular, extensible, and applicable to a wide range of tasks. The toolkit supports asynchronous and remote thread-safe agent execution for maximal responsiveness and scalability, and is compatible with various APIs like HuggingFace Spaces, Datasets, Gymnasium Spaces, Ollama, and OpenAI. It also offers automatic dataset recording and optional uploads to the HuggingFace hub.

This Github repository contains practice session materials for the TUM course on Artificial Intelligence in Automotive Technology. It includes coding examples used in the lectures to teach the foundations of AI in automotive technology. The repository aims to provide hands-on experience and practical knowledge in applying AI concepts to the automotive industry.

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 frontier research on explainable AI (XAI), a hot topic in the field of artificial intelligence. It includes trends, use cases, survey papers, books, open courses, papers, and Python libraries related to XAI. The repository aims to organize and categorize publications on XAI, provide evaluation methods, and list various Python libraries for explainable AI.

OpenCat is an open-source Arduino and Raspberry Pi-based quadruped robotic pet framework developed by Petoi. It aims to foster collaboration in quadruped robotics research, education, and engineering development of agile and affordable quadruped robot pets. The project provides a base open source platform for creating programmable gaits, locomotion, and deployment of inverse kinematics quadruped robots, enabling simulations to the real world via block-based coding/C/C++/Python programming languages. Users have deployed various robotics/AI/IoT applications and the project has successfully crowdfunded mini robot kits, shipped worldwide, and established a production line for affordable robotic kits and accessories.

Parlant is a structured approach to building and guiding customer-facing AI agents. It allows developers to create and manage robust AI agents, providing specific feedback on agent behavior and helping understand user intentions better. With features like guidelines, glossary, coherence checks, dynamic context, and guided tool use, Parlant offers control over agent responses and behavior. Developer-friendly aspects include instant changes, Git integration, clean architecture, and type safety. It enables confident deployment with scalability, effective debugging, and validation before deployment. Parlant works with major LLM providers and offers client SDKs for Python and TypeScript. The tool facilitates natural customer interactions through asynchronous communication and provides a chat UI for testing new behaviors before deployment.

CodeProject.AI Server is a standalone, self-hosted, fast, free, and open-source Artificial Intelligence microserver designed for any platform and language. It can be installed locally without the need for off-device or out-of-network data transfer, providing an easy-to-use solution for developers interested in AI programming. The server includes a HTTP REST API server, backend analysis services, and the source code, enabling users to perform various AI tasks locally without relying on external services or cloud computing. Current capabilities include object detection, face detection, scene recognition, sentiment analysis, and more, with ongoing feature expansions planned. The project aims to promote AI development, simplify AI implementation, focus on core use-cases, and leverage the expertise of the developer community.

This repository contains convenience scripts to finetune LLaMa3-8B (or any other foundation model) for chat towards any language (that isn't English). The rationale behind this is that LLaMa3 is trained on primarily English data and while it works to some extent for other languages, its performance is poor compared to English.

LLM Datasets is a repository containing high-quality datasets, tools, and concepts for LLM fine-tuning. It provides datasets with characteristics like accuracy, diversity, and complexity to train large language models for various tasks. The repository includes datasets for general-purpose, math & logic, code, conversation & role-play, and agent & function calling domains. It also offers guidance on creating high-quality datasets through data deduplication, data quality assessment, data exploration, and data generation techniques.

LLaMa2lang is a repository containing convenience scripts to finetune LLaMa3-8B (or any other foundation model) for chat towards any language that isn't English. The repository aims to improve the performance of LLaMa3 for non-English languages by combining fine-tuning with RAG. Users can translate datasets, extract threads, turn threads into prompts, and finetune models using QLoRA and PEFT. Additionally, the repository supports translation models like OPUS, M2M, MADLAD, and base datasets like OASST1 and OASST2. The process involves loading datasets, translating them, combining checkpoints, and running inference using the newly trained model. The repository also provides benchmarking scripts to choose the right translation model for a target language.

CipherChat is a novel framework designed to examine the generalizability of safety alignment to non-natural languages, specifically ciphers. The framework utilizes human-unreadable ciphers to potentially bypass safety alignments in natural language models. It involves teaching a language model to comprehend ciphers, converting input into a cipher format, and employing a rule-based decrypter to convert model output back to natural language.

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.

The oneAPI-samples repository contains a collection of samples for the Intel oneAPI Toolkits. These samples cover various topics such as AI and analytics, end-to-end workloads, features and functionality, getting started samples, Jupyter notebooks, direct programming, C++, Fortran, libraries, publications, rendering toolkit, and tools. Users can find samples based on expertise, programming language, and target device. The repository structure is organized by high-level categories, and platform validation includes Ubuntu 22.04, Windows 11, and macOS. The repository provides instructions for getting samples, including cloning the repository or downloading specific tagged versions. Users can also use integrated development environments (IDEs) like Visual Studio Code. The code samples are licensed under the MIT license.

Homeschool Intro to Programming course lesson planner for ages 9+

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

Master Class - Teaching and creating code examples.

Engaging tech professor with a blog-style approach, versed in Python, AI, and up-to-date tech trends.

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

Learn about any subject in a simple way, from quantum physics to the history of Egypt.

Teach you how to chase girls! How to date girls? How to chat with your girlfriends humorously

McNamaraGPT is a realistic game to teach concepts of McNamara Fallacy to students.

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] .

I teach Rust with examples and humor.

I teach Home Economics and help with Cooking, Cleaning, and Running a Household.

I teach engaging and accurate world geography facts.

I teach useful conversations in romanized Persian language (Finglish). No need to learn Farsi script.

I teach Japanese through Teresa Teng's songs, with patience and kindness.

I will teach you the basic concepts of entrepreneurship.

I'm here to teach you magic tricks! Ask me about a spectrum of tricks like sleight of hand with cards and coins, mystical levitations, mind-bending mentalism or grand stage illusions.

Helping you learn, so that you can teach.

A synthesist guru here to teach and guide on electronic music.

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.

Friendly pedagogy expert with advice on good ways to teach and learn. Based on "Practical Pedagogy: 40 New Ways to Teach and Learn".