Best AI tools for< Choose Decorations >

HomeDesignsAI is an AI-powered home design tool that allows users to redesign and decorate their homes in seconds. With over 75 design styles to choose from, users can create realistic and stunning designs for any room in their house. HomeDesignsAI is easy to use and can be used by anyone, regardless of their design experience. It is a great tool for homeowners, interior designers, and real estate agents alike.

Coated is an AI Interior Design Assistant that allows users to effortlessly transform any space by creating beautiful and personalized designs. Users can upload a photo, select a preferred style from a variety of options, and let Coated handle the rest. With 11+ predefined interior styles to choose from, users can easily decorate their spaces to reflect their unique preferences and tastes.

Room AI is an easy-to-use AI software that helps users design their dream homes. With Room AI, users can turn their ideas into professional interior designs with just a few clicks. Room AI offers a variety of features, including the ability to restyle existing rooms, generate new room designs from scratch, choose from a variety of colors and materials, and get personalized design suggestions. Room AI is perfect for homeowners, interior designers, real estate agents, and architects. It is a powerful tool that can help users save time and money while creating beautiful and functional interior designs.

RoomGPT is a personal AI interior designer that allows users to redesign their rooms using just one photo. With over 2 million users worldwide, RoomGPT is a popular tool for those looking to redecorate their homes without the need for an interior designer. The app is easy to use and provides users with a variety of different design options to choose from. RoomGPT is a great way to get inspiration for your next home decorating project.

VERSA is a text-based adventure game that allows users to choose their own adventure and customize their companion. Users can choose from a variety of settings, including sci-fi, wild-west, horror, drama, war, university, or fantasy. They can also choose a male, female, or non-binary companion to be their friend, romance, or enemy. VERSA is designed to push the limits of what's possible with a 1-gem model, while keeping it as entertaining as possible.

Clarity AI is an AI-powered technology platform that offers a Sustainability Tech Kit for sustainable investing, shopping, reporting, and benchmarking. The platform provides built-in sustainability technology with customizable solutions for various needs related to data, methodologies, and tools. It seamlessly integrates into workflows, offering scalable and flexible end-to-end SaaS tools to address sustainability use cases. Clarity AI leverages powerful AI and machine learning to analyze vast amounts of data points, ensuring reliable and transparent data coverage. The platform is designed to empower users to assess, analyze, and report on sustainability aspects efficiently and confidently.

Cardinal is an AI-powered product backlog tool that helps product managers prioritize features and make data-driven decisions. It integrates with your CRM and customer support tools to collect customer feedback and revenue data, which it then uses to identify the most valuable features to build. Cardinal also provides a clear view of your product roadmap and progress, so you can always see what's coming up and how it's aligned with your business goals.

Thabble is an AI-powered platform that allows users to create their own adventure stories by making choices. It is designed as a creative activity for parents and kids to engage in together. Users can generate brand new stories of up to 3,000 words in length, with the option for kids to verbally express their desired story outcomes. The platform saves stories to a personal Library for sharing and future reading. Additionally, a feature to have the AI read stories aloud is planned for future release.

TheStoryGPT is an AI-powered interactive storytelling tool that allows users to create personalized interactive stories. With a focus on immersive storytelling, users can engage with a variety of stories that respond to their choices. The tool offers high-quality audio experiences by allowing users to choose from a list of narrators. TheStoryGPT provides both free and paid plans, with the option to purchase credits for advanced choices. Users can contact the team for any questions or feedback via email.

Coloring-Pages.AI is an online platform that utilizes advanced AI technology to create personalized coloring pages for both children and adults. Users can input prompts and choose from various image sizes to generate unique and custom coloring designs quickly and easily. The platform offers both free and premium pricing plans, with the AI algorithm considering factors like image composition, style, and size to produce high-quality designs. Coloring-Pages.AI is user-friendly, intuitive, and suitable for individuals of all ages, providing endless creativity and fun through AI-generated coloring pages.

STELLARWITS is an AI solutions and software platform that empowers users to explore cutting-edge technology and innovation. The platform offers AI models with versatile capabilities, ranging from content generation to data analysis to problem-solving. Users can engage directly with the technology, experiencing its power in real-time. With a focus on transforming ideas into technology, STELLARWITS provides tailored solutions in software and AI development, delivering intelligent systems and machine learning models for innovative and efficient solutions. The platform also features a download hub with a curated selection of solutions to enhance the digital experience. Through blogs and company information, users can delve deeper into the narrative of STELLARWITS, exploring its mission, vision, and commitment to reshaping the tech landscape.

Hostinger is a web hosting provider that offers a variety of services, including shared hosting, VPS hosting, cloud hosting, and managed WordPress hosting. They also offer a website builder and a domain name registration service. Hostinger's mission is to bring success to everyone online, and they constantly improve their server technology, provide professional support, and simplify site creation with their AI Website Builder.

AI to Human Text Converter is an advanced tool that humanizes AI-generated text to make it sound more natural and authentic. It helps users refine and add a personal touch to their content created using AI tools, bridging the gap between cold AI output and genuine human writing. The tool is beneficial for students, bloggers, marketers, and webmasters who seek to enhance the readability and authenticity of their content without losing the human appeal. AI to Human is equipped with a built-in AI detector to ensure 100% human output, free from errors and plagiarism.

W.A.I.T is a web-based AI-powered writing assistant that helps users improve their writing skills. It offers a range of features, including content generation, content enhancement, translation, and social media assistance. W.A.I.T is designed to be user-friendly and accessible to writers of all levels.

Animalspicker.com is an AI animal generator and blog that offers a wide range of resources related to animals. Users can randomly generate their favorite animals, explore pet care tips, learn about wildlife conservation efforts, delve into animal behavior, and discover information about exotic pets and pet nutrition. The website aims to provide comprehensive information to help users care for their pets and contribute to wildlife conservation.

Whatifi? AI is an AI story generator that allows users to create and read personalized 'choose-your-own-adventure' stories, chapter by chapter. Each chapter, crafted on-the-fly by AI text generation, adapts in real-time to user decisions, offering a dynamic storytelling experience. Users can explore various genres like Sci-Fi, Fantasy, Horror, Mystery, Crime, and Romance. The platform is suitable for casual readers, gamers, families, creative thinkers, and educational purposes, providing a unique and interactive way to engage with storytelling.

Fontjoy is a web application that helps users generate font pairings with just one click. The tool simplifies the process of creating balanced contrast and visually appealing combinations of fonts. Fontjoy uses deep learning algorithms to suggest font pairings that share a common theme while offering a pleasing contrast. Users can easily create, lock, and manually select fonts to customize their designs. Fontjoy aims to streamline the font pairing process by leveraging neural networks to provide intuitive and aesthetically pleasing suggestions.

Weights & Biases is an AI tool that offers documentation, guides, tutorials, and support for using AI models in applications. The platform provides two main products: W&B Weave for integrating AI models into code and W&B Models for building custom AI models. Users can access features such as tracing, output evaluation, cost estimates, hyperparameter sweeps, model registry, and more. Weights & Biases aims to simplify the process of working with AI models and improving model reproducibility.

The website is an AI story generator tool called StoryPathGame. It allows users to select a story and embark on a unique adventure each time. The AI generates captivating and personalized narratives based on the user's choices, making it perfect for bedtime stories or personalized journeys. Users can craft their own stories and let the AI lead the way in creating engaging content. StoryPathGame aims to bring stories to life through AI technology, providing an enchanting and interactive storytelling experience online.

Choosy Chat is an AI-powered chat application that utilizes advanced AI models such as OpenAI GPT-4o and Google Gemini Pro 1.5 to provide intelligent responses and engage in meaningful conversations with users. The application is designed to assist users in various tasks, including answering questions, providing information on recent knowledge, coding assistance, and reasoning puzzles. Choosy Chat aims to enhance user experience through its cutting-edge AI technology and user-friendly interface.

The Ultralytics YOLO iOS App GitHub repository offers an advanced object detection tool leveraging YOLOv8 models for iOS devices. Users can transform their devices into intelligent detection tools to explore the world in a new and exciting way. The app provides real-time detection capabilities with multiple AI models to choose from, ranging from 'nano' to 'x-large'. Contributors are welcome to participate in this open-source project, and licensing options include AGPL-3.0 for open-source use and an Enterprise License for commercial integration. Users can easily set up the app by following the provided steps, including cloning the repository, adding YOLOv8 models, and running the app on their iOS devices.

This project is an intelligent dialogue customer service tool based on a large model, which supports access to platforms such as WeChat, Qianniu, Bilibili, Douyin Enterprise, Douyin, Doudian, Weibo chat, Xiaohongshu professional account operation, Xiaohongshu, Zhihu, etc. You can choose GPT3.5/GPT4.0/ Lazy Treasure Box (more platforms will be supported in the future), which can process text, voice and pictures, and access external resources such as operating systems and the Internet through plug-ins, and support enterprise AI applications customized based on their own knowledge base.

AI2Apps is a visual IDE for building LLM-based AI agent applications, enabling developers to efficiently create AI agents through drag-and-drop, with features like design-to-development for rapid prototyping, direct packaging of agents into apps, powerful debugging capabilities, enhanced user interaction, efficient team collaboration, flexible deployment, multilingual support, simplified product maintenance, and extensibility through plugins.

Sycamore is a conversational search and analytics platform for complex unstructured data, such as documents, presentations, transcripts, embedded tables, and internal knowledge repositories. It retrieves and synthesizes high-quality answers through bringing AI to data preparation, indexing, and retrieval. Sycamore makes it easy to prepare unstructured data for search and analytics, providing a toolkit for data cleaning, information extraction, enrichment, summarization, and generation of vector embeddings that encapsulate the semantics of data. Sycamore uses your choice of generative AI models to make these operations simple and effective, and it enables quick experimentation and iteration. Additionally, Sycamore uses OpenSearch for indexing, enabling hybrid (vector + keyword) search, retrieval-augmented generation (RAG) pipelining, filtering, analytical functions, conversational memory, and other features to improve information retrieval.

SenseCAP Watcher is a monitoring device built on ESP32S3 with Himax WiseEye2 HX6538 AI chip, excelling in image and vector data processing. It features a camera, microphone, and speaker for visual, auditory, and interactive capabilities. With LLM-enabled SenseCraft suite, it understands commands, perceives surroundings, and triggers actions. The repository provides firmware, hardware documentation, and applications for the Watcher, along with detailed guides for setup, task assignment, and firmware flashing.

LangChain Decorators is a layer on top of LangChain that provides syntactic sugar for writing custom langchain prompts and chains. It offers a more pythonic way of writing code, multiline prompts without breaking code flow, IDE support for hinting and type checking, leveraging LangChain ecosystem, support for optional parameters, and sharing parameters between prompts. It simplifies streaming, automatic LLM selection, defining custom settings, debugging, and passing memory, callback, stop, etc. It also provides functions provider, dynamic function schemas, binding prompts to objects, defining custom settings, and debugging options. The project aims to enhance the LangChain library by making it easier to use and more efficient for writing custom prompts and chains.

Easily integrate Large Language Models into your Python code. Simply use the `@prompt` and `@chatprompt` decorators to create functions that return structured output from the LLM. Mix LLM queries and function calling with regular Python code to create complex logic.

LLM Functions is a project that enables the enhancement of large language models (LLMs) with custom tools and agents developed in bash, javascript, and python. Users can create tools for their LLM to execute system commands, access web APIs, or perform other complex tasks triggered by natural language prompts. The project provides a framework for building tools and agents, with tools being functions written in the user's preferred language and automatically generating JSON declarations based on comments. Agents combine prompts, function callings, and knowledge (RAG) to create conversational AI agents. The project is designed to be user-friendly and allows users to easily extend the capabilities of their language models.

Slack Machine is a simple, yet powerful and extendable Slack bot framework. More than just a bot, Slack Machine is a framework that helps you develop your Slack workspace into a ChatOps powerhouse. Slack Machine is built with an intuitive plugin system that lets you build bots quickly, but also allows for easy code organization.

An LLM-powered code generation tool that relies on the built-in Node.js API Typescript Template Project to easily generate clean, well-structured CRUD module code from text description. It orchestrates 3 LLM micro-agents (`Developer`, `Troubleshooter` and `TestsFixer`) to generate code, fix compilation errors, and ensure passing E2E tests. The process includes module code generation, DB migration creation, seeding data, and running tests to validate output. By cycling through these steps, it guarantees consistent and production-ready CRUD code aligned with vertical slicing architecture.

ActionWeaver is an AI application framework designed for simplicity, relying on OpenAI and Pydantic. It supports both OpenAI API and Azure OpenAI service. The framework allows for function calling as a core feature, extensibility to integrate any Python code, function orchestration for building complex call hierarchies, and telemetry and observability integration. Users can easily install ActionWeaver using pip and leverage its capabilities to create, invoke, and orchestrate actions with the language model. The framework also provides structured extraction using Pydantic models and allows for exception handling customization. Contributions to the project are welcome, and users are encouraged to cite ActionWeaver if found useful.

This repository provides a comprehensive guide on building AI WhatsApp bots using Python and Flask. It covers setting up a Meta developer account, integrating webhook events for real-time message reception, and using OpenAI for AI responses. The tutorial includes steps for selecting phone numbers, sending messages with the API, configuring webhooks, integrating AI into the application, and adding a phone number. It also explains the process of creating a system user, obtaining access tokens, and validating verification requests and payloads for webhook security. The repository aims to help users create intelligent WhatsApp bots with Python and AI capabilities.

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

LLM Foundry is a codebase for training, finetuning, evaluating, and deploying LLMs for inference with Composer and the MosaicML platform. It is designed to be easy-to-use, efficient _and_ flexible, enabling rapid experimentation with the latest techniques. You'll find in this repo: * `llmfoundry/` - source code for models, datasets, callbacks, utilities, etc. * `scripts/` - scripts to run LLM workloads * `data_prep/` - convert text data from original sources to StreamingDataset format * `train/` - train or finetune HuggingFace and MPT models from 125M - 70B parameters * `train/benchmarking` - profile training throughput and MFU * `inference/` - convert models to HuggingFace or ONNX format, and generate responses * `inference/benchmarking` - profile inference latency and throughput * `eval/` - evaluate LLMs on academic (or custom) in-context-learning tasks * `mcli/` - launch any of these workloads using MCLI and the MosaicML platform * `TUTORIAL.md` - a deeper dive into the repo, example workflows, and FAQs

Cognita is an open-source framework to organize your RAG codebase along with a frontend to play around with different RAG customizations. It provides a simple way to organize your codebase so that it becomes easy to test it locally while also being able to deploy it in a production ready environment. The key issues that arise while productionizing RAG system from a Jupyter Notebook are: 1. **Chunking and Embedding Job** : The chunking and embedding code usually needs to be abstracted out and deployed as a job. Sometimes the job will need to run on a schedule or be trigerred via an event to keep the data updated. 2. **Query Service** : The code that generates the answer from the query needs to be wrapped up in a api server like FastAPI and should be deployed as a service. This service should be able to handle multiple queries at the same time and also autoscale with higher traffic. 3. **LLM / Embedding Model Deployment** : Often times, if we are using open-source models, we load the model in the Jupyter notebook. This will need to be hosted as a separate service in production and model will need to be called as an API. 4. **Vector DB deployment** : Most testing happens on vector DBs in memory or on disk. However, in production, the DBs need to be deployed in a more scalable and reliable way. Cognita makes it really easy to customize and experiment everything about a RAG system and still be able to deploy it in a good way. It also ships with a UI that makes it easier to try out different RAG configurations and see the results in real time. You can use it locally or with/without using any Truefoundry components. However, using Truefoundry components makes it easier to test different models and deploy the system in a scalable way. Cognita allows you to host multiple RAG systems using one app. ### Advantages of using Cognita are: 1. A central reusable repository of parsers, loaders, embedders and retrievers. 2. Ability for non-technical users to play with UI - Upload documents and perform QnA using modules built by the development team. 3. Fully API driven - which allows integration with other systems. > If you use Cognita with Truefoundry AI Gateway, you can get logging, metrics and feedback mechanism for your user queries. ### Features: 1. Support for multiple document retrievers that use `Similarity Search`, `Query Decompostion`, `Document Reranking`, etc 2. Support for SOTA OpenSource embeddings and reranking from `mixedbread-ai` 3. Support for using LLMs using `Ollama` 4. Support for incremental indexing that ingests entire documents in batches (reduces compute burden), keeps track of already indexed documents and prevents re-indexing of those docs.

LetMeDoIt AI is a virtual assistant designed to revolutionize the way you work. It goes beyond being a mere chatbot by offering a unique and powerful capability - the ability to execute commands and perform computing tasks on your behalf. With LetMeDoIt AI, you can access OpenAI ChatGPT-4, Google Gemini Pro, and Microsoft AutoGen, local LLMs, all in one place, to enhance your productivity.

Aircrack-ng is a comprehensive suite of tools designed to evaluate the security of WiFi networks. It covers various aspects of WiFi security, including monitoring, attacking (replay attacks, deauthentication, fake access points), testing WiFi cards and driver capabilities, and cracking WEP and WPA PSK. The tools are command line-based, allowing for extensive scripting and have been utilized by many GUIs. Aircrack-ng primarily works on Linux but also supports Windows, macOS, FreeBSD, OpenBSD, NetBSD, Solaris, and eComStation 2.

Codellm-devkit (CLDK) is a Python library that serves as a multilingual program analysis framework bridging traditional static analysis tools and Large Language Models (LLMs) specialized for code (CodeLLMs). It simplifies the process of analyzing codebases across multiple programming languages, enabling the extraction of meaningful insights and facilitating LLM-based code analysis. The library provides a unified interface for integrating outputs from various analysis tools and preparing them for effective use by CodeLLMs. Codellm-devkit aims to enable the development and experimentation of robust analysis pipelines that combine traditional program analysis tools and CodeLLMs, reducing friction in multi-language code analysis and ensuring compatibility across different tools and LLM platforms. It is designed to seamlessly integrate with popular analysis tools like WALA, Tree-sitter, LLVM, and CodeQL, acting as a crucial intermediary layer for efficient communication between these tools and CodeLLMs. The project is continuously evolving to include new tools and frameworks, maintaining its versatility for code analysis and LLM integration.

Firecrawl is an API service that takes a URL, crawls it, and converts it into clean markdown. It crawls all accessible subpages and provides clean markdown for each, without requiring a sitemap. The API is easy to use and can be self-hosted. It also integrates with Langchain and Llama Index. The Python SDK makes it easy to crawl and scrape websites in Python code.

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