Best AI tools for< Decorate On A Budget >

Roughly is a creative platform that allows users to bring their ideas to life through art and design. The platform enables users to dream like an artist, draw like a kid, and create like a professional. With a focus on various categories such as architecture, portraits, interiors, games, characters, landscapes, fashion, movies, sculptures, and sneakers, Roughly provides a space for users to unleash their creativity and imagination. The platform also emphasizes privacy and adheres to strict terms of service to protect user rights and content. Join Roughly to explore a world of artistic possibilities and turn your visions into reality.

Fontis.ai is an AI-powered art printing service that allows users to create unique and personalized prints from their own images. Users can choose from a variety of print options, including canvases, posters, mugs, stickers, and puzzles. Fontis.ai's AI technology analyzes the user's image and generates a unique print that is tailored to their individual style. The service is easy to use and affordable, making it a great option for anyone looking to create a unique and personalized gift.

InteriorAI Room Planner is an AI-powered interior design tool that allows users to easily transform any room in their home. With just a photo, the AI technology can create a high-quality design that considers dimensions, lighting, and furniture. Users can also get personalized advice from an AI design expert to help them create a space that matches their style and preferences.

AI Coloring Pages is a website that allows users to generate unique and printable coloring pages using artificial intelligence. The website features a variety of different coloring pages, including animals, landscapes, and people. Users can also upload their own images to color. The website is easy to use and does not require any special software or skills. Simply select a coloring page, click on the "Generate" button, and then print out the coloring page.

Quick Dreamviz is an instant dream home visualization tool that allows users to redesign their rooms using AI technology. With just a few clicks, users can upload a photo of their room, select a room type and theme, and watch as the AI generates a new design. Quick Dreamviz is perfect for anyone who wants to see how their dream home will look before it becomes a reality.

InteriorDecorator.ai is an AI tool that allows users to turn their ideas into professional interior decoration designs. Users can redesign both interior and exterior spaces with the help of AI-generated design ideas. The application offers a wide range of design styles, from modern and rustic to Eastern and Scandinavian. With over 20,000 decoration ideas, InteriorDecorator.ai provides a convenient platform for users to visualize and plan their ideal living spaces.

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.

HomeStyler AI is an innovative interior design tool that allows users to easily imagine, decorate, and visualize their dream home. With the help of state-of-the-art AI technology, users can experiment with up to 14 different styles using just a picture of their space. The platform offers a user-friendly experience, making interior design accessible to everyone, regardless of their expertise. HomeStyler AI provides a wide range of features and benefits to help users bring their design ideas to life.

InstaRoom is an AI-based instant interior decoration tool that allows users to design and visualize their rooms effortlessly. The application combines AI design with seamless Photoshop-like editing capabilities, enabling users to transform their spaces with just a few clicks. With over 20 design styles for both interiors and exteriors, InstaRoom offers a wide range of options to cater to different preferences. Users can render exterior architecture from a sketch, add furniture to empty rooms, and selectively redesign specific parts of a room. InstaRoom provides a user-friendly experience, allowing users to capture a photo of their room on any device and immediately start redesigning. The tool has gained popularity among both professionals and amateurs, making interior design accessible to everyone.

AiHouse is an AI-powered integrated 3D design tool that provides an all-in-one solution for interior design and manufacturing. It offers a range of features including 2D/3D floor plan creation, room decoration, furniture customization, photo-realistic visualization, 3D walkthrough videos, product visualization, and end-to-end design-to-manufacture solutions. AiHouse is designed to streamline the design process, improve communication with clients, and increase efficiency for interior designers, furniture brands, and manufacturers.

Lifelike is a website that offers a wide range of lifelike products and services to enhance your daily life. From lifelike artificial plants and flowers to lifelike animal sculptures and lifelike human figurines, we provide high-quality and realistic items to add beauty and charm to your surroundings. Our lifelike products are meticulously crafted to resemble their real counterparts, making them perfect for home decor, events, and gifts. With Lifelike, you can bring a touch of nature and artistry into your life with ease.

MyRoomDesigner.ai is an online interior design tool that allows users to upload a photo of their room and apply different design styles and themes to it. With just a few clicks, users can transform any room in their home into a stylish and welcoming space. The tool is easy to use and does not require any prior design experience. Users can choose from a variety of popular interior design themes, including Farmhouse, Coastal, Modern, and Traditional. MyRoomDesigner.ai also allows users to share their styled photos with others.

Decorify.app is an AI-powered interior design tool that helps you create beautiful and functional spaces. With Decorify.app, you can easily design your dream room in any style, from modern to traditional. Simply upload a photo of your space and start designing! Decorify.app will provide you with a variety of furniture and décor options to choose from, and you can even see how your design will look in 3D.

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.

Designify is an AI-powered interior design service that allows users to redesign their rooms in seconds. Users simply need to take a picture of their room and choose the themes they like, and the AI will generate a new design. Designify offers over 60 different interior themes to choose from, so users can find the perfect fit for their space. The AI is also able to generate designs for unfurnished rooms, making it a great tool for people who are starting from scratch. Designify is a great way to get inspiration for your next interior design project, and it's also a great way to see how your room would look with different furniture and décor.

AI Room Styles is a web-based home staging assistant that allows users to transform their room's pictures into different styles and colors. With 40 free monthly renderings and thousands of possible setups, users can easily create beautiful and realistic images of their rooms. The tool is perfect for individuals, architects, and real estate agents who want to quickly and easily improve the look of their rooms.

Acrylic is an AI-powered application that allows users to create personalized paintings for home decor. The app leverages artificial intelligence technology to help users design unique artwork that can be previewed using augmented reality. With Acrylic, users can unleash their creativity, personalize their home decor, and order high-quality canvas paintings of their creations. The app offers a user-friendly interface with preset selections and supports easy purchasing through Apple Pay.

Pattern Maker AI is a web-based tool that allows users to generate unique and creative seamless patterns. With a few simple clicks, users can create patterns that can be used for a variety of purposes, such as fabric design, wallpaper, and website backgrounds. Pattern Maker AI is easy to use and does not require any prior design experience. Simply select a few colors and shapes, and Pattern Maker AI will generate a pattern that is both unique and visually appealing.

myaipainting.com is an AI-powered painting assistant that helps you create beautiful, realistic paintings with just a few clicks. With our easy-to-use interface and powerful AI algorithms, you can create stunning works of art in minutes, even if you have no prior painting experience.

HomeStage is an AI-powered virtual furnishing tool that allows users to instantly visualize how their space would look with different furniture and decor items. With just one click, users can transform their empty rooms into beautifully furnished spaces, helping them make informed decisions about interior design and furniture placement. HomeStage leverages advanced AI algorithms to accurately place virtual furniture in real-time, providing a realistic and immersive experience for users. Whether you're a homeowner, interior designer, or real estate agent, HomeStage is the perfect solution to bring your design ideas to life.

LLMLingua is a tool that utilizes a compact, well-trained language model to identify and remove non-essential tokens in prompts. This approach enables efficient inference with large language models, achieving up to 20x compression with minimal performance loss. The tool includes LLMLingua, LongLLMLingua, and LLMLingua-2, each offering different levels of prompt compression and performance improvements for tasks involving large language models.

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.

Scalene is a high-performance CPU, GPU, and memory profiler for Python that provides detailed information and runs faster than many other profilers. It incorporates AI-powered proposed optimizations, allowing users to generate optimization suggestions by clicking on specific lines or regions of code. Scalene separates time spent in Python from native code, highlights hotspots, and identifies memory usage per line. It supports GPU profiling on NVIDIA-based systems and detects memory leaks. Users can generate reduced profiles, profile specific functions using decorators, and suspend/resume profiling for background processes. Scalene is available as a pip or conda package and works on various platforms. It offers features like profiling at the line level, memory trends, copy volume reporting, and leak detection.

MSCCL++ is a GPU-driven communication stack for scalable AI applications. It provides a highly efficient and customizable communication stack for distributed GPU applications. MSCCL++ redefines inter-GPU communication interfaces, delivering a highly efficient and customizable communication stack for distributed GPU applications. Its design is specifically tailored to accommodate diverse performance optimization scenarios often encountered in state-of-the-art AI applications. MSCCL++ provides communication abstractions at the lowest level close to hardware and at the highest level close to application API. The lowest level of abstraction is ultra light weight which enables a user to implement logics of data movement for a collective operation such as AllReduce inside a GPU kernel extremely efficiently without worrying about memory ordering of different ops. The modularity of MSCCL++ enables a user to construct the building blocks of MSCCL++ in a high level abstraction in Python and feed them to a CUDA kernel in order to facilitate the user's productivity. MSCCL++ provides fine-grained synchronous and asynchronous 0-copy 1-sided abstracts for communication primitives such as `put()`, `get()`, `signal()`, `flush()`, and `wait()`. The 1-sided abstractions allows a user to asynchronously `put()` their data on the remote GPU as soon as it is ready without requiring the remote side to issue any receive instruction. This enables users to easily implement flexible communication logics, such as overlapping communication with computation, or implementing customized collective communication algorithms without worrying about potential deadlocks. Additionally, the 0-copy capability enables MSCCL++ to directly transfer data between user's buffers without using intermediate internal buffers which saves GPU bandwidth and memory capacity. MSCCL++ provides consistent abstractions regardless of the location of the remote GPU (either on the local node or on a remote node) or the underlying link (either NVLink/xGMI or InfiniBand). This simplifies the code for inter-GPU communication, which is often complex due to memory ordering of GPU/CPU read/writes and therefore, is error-prone.

Kaito is an operator that automates the AI/ML inference model deployment in a Kubernetes cluster. It manages large model files using container images, avoids tuning deployment parameters to fit GPU hardware by providing preset configurations, auto-provisions GPU nodes based on model requirements, and hosts large model images in the public Microsoft Container Registry (MCR) if the license allows. Using Kaito, the workflow of onboarding large AI inference models in Kubernetes is largely simplified.

The Microsoft AI for Earth program hosts geospatial data on Azure that is important to environmental sustainability and Earth science. This repo hosts documentation and demonstration notebooks for all the data that is managed by AI for Earth. It also serves as a "staging ground" for the Planetary Computer Data Catalog.

LLMPerf is a tool designed for evaluating the performance of Language Model APIs. It provides functionalities for conducting load tests to measure inter-token latency and generation throughput, as well as correctness tests to verify the responses. The tool supports various LLM APIs including OpenAI, Anthropic, TogetherAI, Hugging Face, LiteLLM, Vertex AI, and SageMaker. Users can set different parameters for the tests and analyze the results to assess the performance of the LLM APIs. LLMPerf aims to standardize prompts across different APIs and provide consistent evaluation metrics for comparison.

Vidur is a high-fidelity and extensible LLM inference simulator designed for capacity planning, deployment configuration optimization, testing new research ideas, and studying system performance of models under different workloads and configurations. It supports various models and devices, offers chrome trace exports, and can be set up using mamba, venv, or conda. Users can run the simulator with various parameters and monitor metrics using wandb. Contributions are welcome, subject to a Contributor License Agreement and adherence to the Microsoft Open Source Code of Conduct.

Project Miyagi showcases Microsoft's Copilot Stack in an envisioning workshop aimed at designing, developing, and deploying enterprise-grade intelligent apps. By exploring both generative and traditional ML use cases, Miyagi offers an experiential approach to developing AI-infused product experiences that enhance productivity and enable hyper-personalization. Additionally, the workshop introduces traditional software engineers to emerging design patterns in prompt engineering, such as chain-of-thought and retrieval-augmentation, as well as to techniques like vectorization for long-term memory, fine-tuning of OSS models, agent-like orchestration, and plugins or tools for augmenting and grounding LLMs.

The Conversational Azure OpenAI Accelerator is a tool designed to provide rapid, no-cost custom demos tailored to customer use cases, from internal HR/IT to external contact centers. It focuses on top use cases of GenAI conversation and summarization, plus live backend data integration. The tool automates conversations across voice and text channels, providing a valuable way to save money and improve customer and employee experience. By combining Azure OpenAI + Cognitive Search, users can efficiently deploy a ChatGPT experience using web pages, knowledge base articles, and data sources. The tool enables simultaneous deployment of conversational content to chatbots, IVR, voice assistants, and more in one click, eliminating the need for in-depth IT involvement. It leverages Microsoft's advanced AI technologies, resulting in a conversational experience that can converse in human-like dialogue, respond intelligently, and capture content for omni-channel unified analytics.

Microsoft Copilot for Security is a generative AI-powered assistant for daily operations in security and IT that empowers teams to protect at the speed and scale of AI.

The Azure-Analytics-and-AI-Engagement repository provides packaged Industry Scenario DREAM Demos with ARM templates (Containing a demo web application, Power BI reports, Synapse resources, AML Notebooks etc.) that can be deployed in a customer’s subscription using the CAPE tool within a matter of few hours. Partners can also deploy DREAM Demos in their own subscriptions using DPoC.

BitBLAS is a library for mixed-precision BLAS operations on GPUs, for example, the $W_{wdtype}A_{adtype}$ mixed-precision matrix multiplication where $C_{cdtype}[M, N] = A_{adtype}[M, K] \times W_{wdtype}[N, K]$. BitBLAS aims to support efficient mixed-precision DNN model deployment, especially the $W_{wdtype}A_{adtype}$ quantization in large language models (LLMs), for example, the $W_{UINT4}A_{FP16}$ in GPTQ, the $W_{INT2}A_{FP16}$ in BitDistiller, the $W_{INT2}A_{INT8}$ in BitNet-b1.58. BitBLAS is based on techniques from our accepted submission at OSDI'24.

AI Agents Framework is a .NET framework built on Semantic Kernel and Orleans for creating and hosting event-driven AI Agents. It is currently in an experimental phase and not recommended for production use. The framework aims to automate requirements engineering, planning, and coding processes using event-driven agents.

FarmVibes.AI is a repository focused on developing multi-modal geospatial machine learning models for agriculture and sustainability. It enables users to fuse various geospatial and spatiotemporal datasets, such as satellite imagery, drone imagery, and weather data, to generate robust insights for agriculture-related problems. The repository provides fusion workflows, data preparation tools, model training notebooks, and an inference engine to facilitate the creation of geospatial models tailored for agriculture and farming. Users can interact with the tools via a local cluster, REST API, or a Python client, and the repository includes documentation and notebook examples to guide users in utilizing FarmVibes.AI for tasks like harvest date detection, climate impact estimation, micro climate prediction, and crop identification.

Azure HPC On-Demand Platform (az-hop) provides an end-to-end deployment mechanism for a base HPC infrastructure on Azure. It delivers a complete HPC cluster solution ready for users to run applications, which is easy to deploy and manage for HPC administrators. az-hop leverages various Azure building blocks and can be used as-is or easily customized and extended to meet any uncovered requirements. Industry-standard tools like Terraform, Ansible, and Packer are used to provision and configure this environment, which contains: - An HPC OnDemand Portal for all user access, remote shell access, remote visualization access, job submission, file access, and more - An Active Directory for user authentication and domain control - Open PBS or SLURM as a Job Scheduler - Dynamic resources provisioning and autoscaling is done by Azure CycleCloud pre-configured job queues and integrated health-checks to quickly avoid non-optimal nodes - A Jumpbox to provide admin access - A common shared file system for home directory and applications is delivered by Azure Netapp Files - Grafana dashboards to monitor your cluster - Remote Visualization with noVNC and GPU acceleration with VirtualGL

TypeChat is a library that simplifies the creation of natural language interfaces using types. Traditionally, building natural language interfaces has been challenging, often relying on complex decision trees to determine intent and gather necessary inputs for action. Large language models (LLMs) have simplified this process by allowing us to accept natural language input from users and match it to intent. However, this has introduced new challenges, such as the need to constrain the model's response for safety, structure responses from the model for further processing, and ensure the validity of the model's response. Prompt engineering aims to address these issues, but it comes with a steep learning curve and increased fragility as the prompt grows in size.

A fine-tuning guide for both OpenAI and Open-Source Large Language Models on Azure. Fine-Tuning retrains an existing pre-trained LLM using example data, resulting in a new 'custom' fine-tuned LLM optimized for task-specific examples. Use cases include improving LLM performance on specific tasks and introducing information not well represented by the base LLM model. Suitable for cases where latency is critical, high accuracy is required, and clear evaluation metrics are available. Learning path includes labs for fine-tuning GPT and Llama2 models via Dashboards and Python SDK.

MInference is a tool designed to accelerate pre-filling for long-context Language Models (LLMs) by leveraging dynamic sparse attention. It achieves up to a 10x speedup for pre-filling on an A100 while maintaining accuracy. The tool supports various decoding LLMs, including LLaMA-style models and Phi models, and provides custom kernels for attention computation. MInference is useful for researchers and developers working with large-scale language models who aim to improve efficiency without compromising accuracy.

RecAI is a project that explores the integration of Large Language Models (LLMs) into recommender systems, addressing the challenges of interactivity, explainability, and controllability. It aims to bridge the gap between general-purpose LLMs and domain-specific recommender systems, providing a holistic perspective on the practical requirements of LLM4Rec. The project investigates various techniques, including Recommender AI agents, selective knowledge injection, fine-tuning language models, evaluation, and LLMs as model explainers, to create more sophisticated, interactive, and user-centric recommender systems.

Guides users in budget-friendly home decoration.

A house layout expert focusing on Chinese style, Feng Shui, and optimization.

A landscaping guide focusing on gravel types, uses, and projects.

A digital housing developer aiding in sustainable house model selection based on local regulations and preferences.

A domestic GPT, providing practical advice and insights on homemaking.

Expert on the color white in design, fashion, and art.

Supportive advice on home care and organization

Discover your aesthetic and style preferences based on images you like.

Informative guide on tiny house design and minimalist living

Visualize and inform on bouquets.

Artistic and informative guide on colors and their significance.

Creates the perfect floral arrangement for whatever is on the menu.

Creative ideas for plating dishes, focusing on visual appeal and practicality.

Assisting with Home Decoration and Interior Design

VS Code API expert with TypeScript examples

The ultimate assistant for our hard working teachers that will allow lesson planning, adapting that lesson plan to kids with different special needs, creating amazing picture and illustration files for decorating your classroom, as well as photo grading possibilities and more!!

Guides men in creating a 'den' that shows maturity and style for life partnership.

Transforming everyday items into stylish decor. Offering budget-friendly, creative living space makeovers with eco-conscious materials and trending designs.

Suggests art subjects/styles and creates TV art.

Creates unique birthday cakes with privacy