Best AI tools for< Create Code Samples >

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.

The website e-label.eu offers a platform for wineries to easily create electronic labels for wines in compliance with the EU E-Label regulations. Developed with legal experts, the tool allows users to generate E-Labels quickly and affordably, even without prior knowledge. With features like online E-Label storage for 10 years, transparent pricing, interfaces for easy data import, collective QR codes for price lists, and automatic translation into EU languages, the platform simplifies the process of wine labeling. Partnerships with agencies and printers are also available, offering competitive rates for providing e-labeling services. The site provides webinars, FAQs, and a blog to educate users on the EU wine labeling regulations and how to use the platform effectively.

Simplescraper is a web scraping tool that allows users to extract data from any website in seconds. It offers the ability to download data instantly, scrape at scale in the cloud, or create APIs without the need for coding. The tool is designed for developers and no-coders, making web scraping simple and efficient. Simplescraper AI Enhance provides a new way to pull insights from web data, allowing users to summarize, analyze, format, and understand extracted data using AI technology.

BotX is a no-code AI platform that enables users to automate and deploy generative AI workflows, chatbots, RAGs, and multi-agent solutions. With production-ready AI systems, users can increase productivity, build AI agents and chatbots, automate workflows, create or process documents, and connect models effortlessly. The platform offers a range of models and fine-tuning options, seamless integration of advanced models, and enterprise-grade results with grounded responses. Users can protect their data with various deployment options and enjoy dedicated support, integrations-ready solutions, and tailor-made solutions for enterprises and SMEs.

The Robot Code Generator by Pantheon Robotics is a web application that allows users to generate executable robot code from natural language. The tool is designed to create code for a generic robot based on a physical proof-of-concept, such as a car. Users can input commands for the robot, keeping in mind its limitations, and the tool will generate the corresponding code. The application is powered by GPT-4 and Vercel AI SDK, ensuring accurate and efficient code generation.

Ninja AI is an all-in-one AI platform designed for unlimited productivity. It offers a wide range of AI agents and models to assist users in tasks such as research, writing, coding, image generation, and file analysis. Ninja's compound AI system orchestrates across various AI models to deliver outstanding results. The platform is cost-efficient, user-friendly, and powered by next-gen hardware from AWS, ensuring high performance and adaptability.

Files2Prompt is a free online tool that allows you to convert files to text prompts for large language models (LLMs) like ChatGPT, Claude, and Gemini. With Files2Prompt, you can easily generate prompts from various file formats, including Markdown, JSON, and XML. The converted prompts can be used to ask questions, generate text, translate languages, write different kinds of creative content, and more.

AutoCodePro is an AI-powered platform that allows users to create code from natural language descriptions. It supports the creation of Chrome extensions, web apps, and mobile apps. Users simply need to provide a description of their desired application, and AutoCodePro will generate the corresponding code. The platform is designed to be easy to use, even for non-coders.

FlowGPT is a website that provides users with access to a collection of ChatGPT prompts and AI-powered bots. The website allows users to search for and use prompts to generate text, images, and other types of content. FlowGPT also offers a variety of tools and resources for developers and users who want to create their own AI-powered applications.

QR Blend is the first AI QR code generator in the world. It allows users to create QR codes with logo embedding and custom styles. Users can generate QR codes for various platforms like Spotify, Instagram, OpenAI, Domino's Pizza, Tesla, Disney, and Netflix. The tool offers a new feature called Logo Embedding, where users can send their logo and style preferences to [email protected]. For companies with special inquiries, QR Blend provides services like logo embedding, custom styles, higher resolution, and larger margins. The tool is designed to simplify the process of creating AI QR codes with a user-friendly interface.

Programming Helper is a tool that helps you code faster with the help of AI. It can generate code, test code, and explain code. It also has a wide range of other features, such as a function from description, text description to SQL command, and code to explanation. Programming Helper is a valuable tool for any programmer, regardless of their skill level.

SpellBox is a versatile AI coding assistant that helps developers of all levels write code faster and more efficiently. With SpellBox, you can say goodbye to hours of frustrating coding and hello to quick, easy solutions. SpellBox creates the code you need from simple prompts, so you can solve your toughest programming problems in seconds.

QRBTF is an AI-powered QR code generator that allows users to create QR codes from text, images, or even other QR codes. It offers a variety of customization options, including the ability to add logos, change colors, and set the size and shape of the QR code. QRBTF also provides a bulk QR code generation feature, making it easy to create multiple QR codes at once.

AI Chatbot Hub is a no-code AI chatbot platform that allows users to create AI agents quickly and easily. Users can build AI chatbots in minutes, customize appearance, track every chat with variables and labels, and integrate the chatbots anywhere. The platform offers features like lead collection, dynamic webhooks, file upload, human support, auto chatbot re-train, function calling, training files, sources and citations, and fine-tune intents. AI Chatbot Hub is suitable for various industries such as customer support, real estate, healthcare, restaurants, e-commerce, insurance, and contractors. It offers flexible pricing plans catering to small businesses and growing brands, with features like unlimited messages, AI agents, storage space, collaborators, tokens per chatbot, AI models, variables, conversation labels, and more.

AI QR Codes is an online generator that allows users to create artistic and customizable QR codes using AI technology. With a simple prompt, users can generate unique QR codes that reflect their brand or personal style. These QR codes can be used for various purposes, including marketing campaigns, digital content access, and social media connections.

AIQRHub is an AI-powered online tool that allows users to generate QR codes using advanced AI technology. Unlike traditional QR codes, the codes created by AIQRHub are visually appealing, artistic, and designed to attract users' attention. The platform offers a user-friendly interface for creating customized QR codes with various styles and templates. Users can access the tool for free and are provided with a set amount of 'diamonds' to generate artistic QR codes. Additionally, AIQRHub offers a simple and fast process for purchasing more 'diamonds' if needed. The platform also provides a refund option for Pro users under specific conditions. Overall, AIQRHub aims to revolutionize the way QR codes are created and utilized, making them more engaging and visually appealing.

Dasha is a conversational AI-as-a-service platform that allows developers to embed realistic voice and text conversational capabilities into their apps or products. With a single integration, developers can create smart conversational apps for web, desktop, mobile, IoT, and call centers. Dasha's declarative programming language, DashaScript, makes it easy to design complex real-world conversations that pass a limited Turing test. Developers can use Dasha to automate call center conversations, recreate the Google Duplex demo, or create no-code GUIs for their users. Dasha's platform is flexible and can be integrated with any platform or programming language. It also offers a free tier for builders and testers.

Mi.nimax.me is a website that allows users to create a short link and set up a beautiful minipage in minutes. The website also offers AI-generated QR codes that can be used to take things offline. With Mi.nimax.me, users can maximize their online presence with their Minipage and generate beautiful pages by listing their links. They can then arrange and resize the links until they are exactly how they want them.

Builco is an AI-powered tool designed to help users quickly build web applications using Next.js. It allows users to create client/server code for Next.js 14 App Router with Server Actions in just one click. By leveraging AI technology, Builco assists in generating code for MVPs, including page code, data schema, and action code. The tool supports TypeScript, Prisma, and Tailwind CSS, providing developers with a streamlined process to set up basic CRUD operations and focus on building better products faster.

Excel Formula Bot is an AI-powered tool that helps users generate Excel and Google Sheet formulas using simple text instructions. It provides a user-friendly interface that allows users to write formulas in natural language, eliminating the need for complex syntax and manual calculations. With Excel Formula Bot, users can save time and effort while ensuring accuracy and consistency in their spreadsheet tasks.

The SDK repository contains a software development kit that provides tools, libraries, and documentation for developers to build applications for a specific platform or framework. It includes code samples, APIs, and other resources to streamline the development process and enhance the functionality of the applications. Developers can use the SDK to access platform-specific features, integrate with external services, and optimize performance. The repository is regularly updated to ensure compatibility with the latest platform updates and industry standards, making it a valuable resource for developers looking to create high-quality applications efficiently.

BigCodeBench is an easy-to-use benchmark for code generation with practical and challenging programming tasks. It aims to evaluate the true programming capabilities of large language models (LLMs) in a more realistic setting. The benchmark is designed for HumanEval-like function-level code generation tasks, but with much more complex instructions and diverse function calls. BigCodeBench focuses on the evaluation of LLM4Code with diverse function calls and complex instructions, providing precise evaluation & ranking and pre-generated samples to accelerate code intelligence research. It inherits the design of the EvalPlus framework but differs in terms of execution environment and test evaluation.

This repository provides code samples in Python, C#, REST, and JavaScript for vector support in Azure AI Search. It includes demos for various languages showcasing vectorization of data, creating indexes, and querying vector data. Additionally, it offers tools like Azure AI Search Lab for experimenting with AI-enabled search scenarios in Azure and templates for deploying custom chat-with-your-data solutions. The repository also features documentation on vector search, hybrid search, creating and querying vector indexes, and REST API references for Azure AI Search and Azure OpenAI Service.

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.

This course has 18 lessons. Each lesson covers its own topic so start wherever you like! Lessons are labeled either "Learn" lessons explaining a Generative AI concept or "Build" lessons that explain a concept and code examples in both **Python** and **TypeScript** when possible. Each lesson also includes a "Keep Learning" section with additional learning tools. **What You Need** * Access to the Azure OpenAI Service **OR** OpenAI API - _Only required to complete coding lessons_ * Basic knowledge of Python or Typescript is helpful - *For absolute beginners check out these Python and TypeScript courses. * A Github account to fork this entire repo to your own GitHub account We have created a **Course Setup** lesson to help you with setting up your development environment. Don't forget to star (🌟) this repo to find it easier later. ## 🧠 Ready to Deploy? If you are looking for more advanced code samples, check out our collection of Generative AI Code Samples in both **Python** and **TypeScript**. ## 🗣️ Meet Other Learners, Get Support Join our official AI Discord server to meet and network with other learners taking this course and get support. ## 🚀 Building a Startup? Sign up for Microsoft for Startups Founders Hub to receive **free OpenAI credits** and up to **$150k towards Azure credits to access OpenAI models through Azure OpenAI Services**. ## 🙏 Want to help? Do you have suggestions or found spelling or code errors? Raise an issue or Create a pull request ## 📂 Each lesson includes: * A short video introduction to the topic * A written lesson located in the README * Python and TypeScript code samples supporting Azure OpenAI and OpenAI API * Links to extra resources to continue your learning ## 🗃️ Lessons | | Lesson Link | Description | Additional Learning | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 00 | Course Setup | **Learn:** How to Setup Your Development Environment | Learn More | | 01 | Introduction to Generative AI and LLMs | **Learn:** Understanding what Generative AI is and how Large Language Models (LLMs) work. | Learn More | | 02 | Exploring and comparing different LLMs | **Learn:** How to select the right model for your use case | Learn More | | 03 | Using Generative AI Responsibly | **Learn:** How to build Generative AI Applications responsibly | Learn More | | 04 | Understanding Prompt Engineering Fundamentals | **Learn:** Hands-on Prompt Engineering Best Practices | Learn More | | 05 | Creating Advanced Prompts | **Learn:** How to apply prompt engineering techniques that improve the outcome of your prompts. | Learn More | | 06 | Building Text Generation Applications | **Build:** A text generation app using Azure OpenAI | Learn More | | 07 | Building Chat Applications | **Build:** Techniques for efficiently building and integrating chat applications. | Learn More | | 08 | Building Search Apps Vector Databases | **Build:** A search application that uses Embeddings to search for data. | Learn More | | 09 | Building Image Generation Applications | **Build:** A image generation application | Learn More | | 10 | Building Low Code AI Applications | **Build:** A Generative AI application using Low Code tools | Learn More | | 11 | Integrating External Applications with Function Calling | **Build:** What is function calling and its use cases for applications | Learn More | | 12 | Designing UX for AI Applications | **Learn:** How to apply UX design principles when developing Generative AI Applications | Learn More | | 13 | Securing Your Generative AI Applications | **Learn:** The threats and risks to AI systems and methods to secure these systems. | Learn More | | 14 | The Generative AI Application Lifecycle | **Learn:** The tools and metrics to manage the LLM Lifecycle and LLMOps | Learn More | | 15 | Retrieval Augmented Generation (RAG) and Vector Databases | **Build:** An application using a RAG Framework to retrieve embeddings from a Vector Databases | Learn More | | 16 | Open Source Models and Hugging Face | **Build:** An application using open source models available on Hugging Face | Learn More | | 17 | AI Agents | **Build:** An application using an AI Agent Framework | Learn More | | 18 | Fine-Tuning LLMs | **Learn:** The what, why and how of fine-tuning LLMs | Learn More |

This repository contains notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage generative AI workflows using Generative AI on Google Cloud, powered by Vertex AI. For more Vertex AI samples, please visit the Vertex AI samples Github repository.

The Google Cloud Vertex AI sample repository contains notebooks and community content that demonstrate how to develop and manage ML workflows using Google Cloud Vertex AI.

A set of instructional materials, code samples and Python scripts featuring LLMs (GPT etc) through interfaces like llamaindex, langchain, Chroma (Chromadb), Pinecone etc. Mainly used to store reference code for my LangChain tutorials on YouTube.

Shards is a high-performance, multi-platform, type-safe programming language designed for visual development. It is a dataflow visual programming language that enables building full-fledged apps and games without traditional coding. Shards features automatic type checking, optimized shard implementations for high performance, and an intuitive visual workflow for beginners. The language allows seamless round-trip engineering between code and visual models, empowering users to create multi-platform apps easily. Shards also powers an upcoming AI-powered game creation system, enabling real-time collaboration and game development in a low to no-code environment.

The OpenVINO Build and Deploy repository provides pre-built components and code samples to accelerate the development and deployment of production-grade AI applications across various industries. With the OpenVINO Toolkit from Intel, users can enhance the capabilities of both Intel and non-Intel hardware to meet specific needs. The repository includes AI reference kits, interactive demos, workshops, and step-by-step instructions for building AI applications. Additional resources such as Jupyter notebooks and a Medium blog are also available. The repository is maintained by the AI Evangelist team at Intel, who provide guidance on real-world use cases for the OpenVINO toolkit.

n8n is an extendable workflow automation tool that enables you to connect anything to everything. It is open-source and can be self-hosted or used as a service. n8n provides a visual interface for creating workflows, which can be used to automate tasks such as data integration, data transformation, and data analysis. n8n also includes a library of pre-built nodes that can be used to connect to a variety of applications and services. This makes it easy to create complex workflows without having to write any code.

AI Hero is a course designed to help individuals transition from frontend, backend, or full-stack development to working with AI. The course includes examples, exercises, libraries & SDKs, and articles. The repository provides self-contained code samples to demonstrate various AI concepts and techniques. Users can follow the quickstart guide to install dependencies, set up API keys, and run examples. AI Hero aims to equip learners with the skills needed to become fully-fledged AI engineers.

The Google Gen AI Go SDK is a tool that allows developers to utilize Google's advanced generative AI models, such as Gemini, to create AI-powered features and applications. With this SDK, users can generate text from text-only input or text-and-images input (multimodal) with ease. The tool provides seamless integration with Google's AI models, enabling developers to harness the power of AI for various use cases.

Speakeasy is a tool that helps developers create production-quality SDKs, Terraform providers, documentation, and more from OpenAPI specifications. It supports a wide range of languages, including Go, Python, TypeScript, Java, and C#, and provides features such as automatic maintenance, type safety, and fault tolerance. Speakeasy also integrates with popular package managers like npm, PyPI, Maven, and Terraform Registry for easy distribution.

Pixeltable is a Python library designed for ML Engineers and Data Scientists to focus on exploration, modeling, and app development without the need to handle data plumbing. It provides a declarative interface for working with text, images, embeddings, and video, enabling users to store, transform, index, and iterate on data within a single table interface. Pixeltable is persistent, acting as a database unlike in-memory Python libraries such as Pandas. It offers features like data storage and versioning, combined data and model lineage, indexing, orchestration of multimodal workloads, incremental updates, and automatic production-ready code generation. The tool emphasizes transparency, reproducibility, cost-saving through incremental data changes, and seamless integration with existing Python code and libraries.

This repository provides a deployment guide for utilizing Google Cloud's Generative AI tools in marketing scenarios. It includes step-by-step instructions, examples of crafting marketing materials, and supplementary Jupyter notebooks. The demos cover marketing insights, audience analysis, trendspotting, content search, content generation, and workspace integration. Users can access and visualize marketing data, analyze trends, improve search experience, and generate compelling content. The repository structure includes backend APIs, frontend code, sample notebooks, templates, and installation scripts.

CopilotKit is an open-source framework for building, deploying, and operating fully custom AI Copilots, including in-app AI chatbots, AI agents, and AI Textareas. It provides a set of components and entry points that allow developers to easily integrate AI capabilities into their applications. CopilotKit is designed to be flexible and extensible, so developers can tailor it to their specific needs. It supports a variety of use cases, including providing app-aware AI chatbots that can interact with the application state and take action, drop-in replacements for textareas with AI-assisted text generation, and in-app agents that can access real-time application context and take action within the application.

This sample demonstrates a few approaches for creating ChatGPT-like experiences over your own data using the Retrieval Augmented Generation pattern. It uses Azure OpenAI Service to access a GPT model (gpt-35-turbo), and Azure AI Search for data indexing and retrieval. The repo includes sample data so it's ready to try end to end. In this sample application we use a fictitious company called Contoso Electronics, and the experience allows its employees to ask questions about the benefits, internal policies, as well as job descriptions and roles.

LangFair is a Python library for bias and fairness assessments of large language models (LLMs). It offers a comprehensive framework for choosing bias and fairness metrics, demo notebooks, and a technical playbook. Users can tailor evaluations to their use cases with a Bring Your Own Prompts approach. The focus is on output-based metrics practical for governance audits and real-world testing.

The Artificial Intelligence Controller Interface (AICI) lets you build Controllers that constrain and direct output of a Large Language Model (LLM) in real time. Controllers are flexible programs capable of implementing constrained decoding, dynamic editing of prompts and generated text, and coordinating execution across multiple, parallel generations. Controllers incorporate custom logic during the token-by-token decoding and maintain state during an LLM request. This allows diverse Controller strategies, from programmatic or query-based decoding to multi-agent conversations to execute efficiently in tight integration with the LLM itself.

Build on the XRP Ledger with assistance from this GPT trained on extensive documentation and code samples.

I create personalized code templates for your projects.

Guides on Dr. Racket templates per CS 2500.

Create a QR code in 30 seconds + add a cool design effect or overlay it on top of any image. Free, no watermarks, no email required, and we don't store your messages/images.

Create, Customize, and Track Stunning QR Codes Art with Our Free QR Code AI Art Generator. Seamlessly integrate these artistic codes into your marketing materials, packaging, and digital platforms.

AI GPT to create stunning AI-generated QR code images instantly! Make your QR code leave a lasting impression!

A software engineer helping you create low code solutions.

Creates GSAP Code for Webflow

Friendly guide on diverse QR code creation, focusing on security, design, and technical aspects.

URL-to-QR code generator

質問に答えながらEAソースコードを簡単作成！ MQL4/5両者対応しています。

Expert in Lua code creation and review for applications such as Roblox games

A detailed expert trained on all 1,401 pages of Apple SwiftData, offering complete coding solutions. Saving time? https://www.buymeacoffee.com/parkerrex ☕️❤️

A QR code generator for links, text, SMS/Phones, Emails & Geolocation. You shouldn't need to use other sources ever again!

A math problem solver that creates Julia code.

Generate a QR code with the XANA logo.

Upload image of any Ant design UI and get code

JavaScript expert with insights from 'Eloquent JavaScript' and "don't know javascript", friendly and approachable.

Your purpose is to create the pytorch code to train language models using pytorch

Explore GPT's limits. Hotkey Builder. Open Pandora's Box. Create 15 random code interpreter or dalle hotkeys. Press K for cmd menu. Press PJ or PI to unleash chaos. ---- v1.2 GPTavern