Best AI tools for< Design Researcher >

Kingwei Treasure Bag is a multi-channel search tool that provides quick access to various search scenarios such as regular search, finding visual references, tutorials, authoritative answers, sharing, technical solutions, Mac software, books, movies, AI, AIGC models, and more. It offers a wide range of search channels including Google, Baidu, Bing, Pinterest, Dribbble, and many others. Additionally, it features a self-developed tool called ChatGPT for AI-powered interactions. Users can input keywords, access search history, and utilize various resources available through the platform.

ODDY is a research copilot for UX design that conducts desk research and design reviews in seconds. It provides actionable insights, best practices, and direct references to help UX designers transform their challenges into better designs.

Visily is an AI-powered UI design software that simplifies the process of creating high-fidelity wireframes and prototypes. It leverages AI technology to eliminate complex workflows and design challenges, allowing users to easily convert various design inputs into customizable designs. With over 1,500 prebuilt templates and smart components, Visily offers a unified workflow from ideation to design, making it accessible for both designers and non-designers to collaborate and create visually appealing interfaces.

Trustpilot productai.one is an AI tool designed to provide product reviews and ratings. It utilizes artificial intelligence algorithms to analyze and aggregate customer feedback, helping users make informed purchasing decisions. The platform offers a user-friendly interface where consumers can explore and compare various products based on real customer experiences. With Trustpilot productai.one, users can access valuable insights and recommendations to guide their shopping choices.

Victor Dibia's website showcases his expertise in Applied Machine Learning and Human-Computer Interaction (HCI). He is a Principal Research Software Engineer at Microsoft Research, focusing on Generative AI. The site features his publications, projects, CV, and blog posts, covering topics such as multi-agent systems, recommender systems, and more. Victor's work has been recognized in conferences and media outlets, highlighting his contributions to the field of AI and HCI.

XKool Technology is an AI cloud platform offering comprehensive solutions for the building industry. It provides digital and intelligent empowerment for design, construction, and management processes. The platform integrates AI technology to enhance building industrial upgrades and offers AI-assisted content creation, model marketplace, AI toolbox, and various design and management solutions.

ZekAI is an artificial intelligence platform that provides a suite of tools to help users with a variety of tasks, including writing, designing, exploring documents, and more. The platform is powered by state-of-the-art AI models, including GPT-4, GPT-3.5, and custom models, which enable it to deliver high-quality results and ensure the provision of safe content at all times.

Ludo.ai is a comprehensive AI-powered platform designed to assist game studios in the pre-production stage of game development. It offers a suite of tools that leverage AI text generation, AI image generation, and AI-powered semantic search to streamline the process of researching, generating, and developing game concepts. Ludo.ai empowers game developers with the ability to generate new game ideas, monitor market trends, conduct in-depth research, organize and boost productivity, and access a range of resources to enhance their game design process.

TREND HUNTER is a leading AI-powered platform that offers trend reports, insights, and innovation services to help brands stay ahead in the market. With a vast database of ideas and innovations, the platform provides customized trend reports, newsletters, and exclusive consumer insights. It also offers advisory services, innovation assessment, and training programs to accelerate innovation and spark disruptive thinking. TREND HUNTER's AI technology, combined with a skilled team of researchers and futurists, unlocks valuable insights for businesses to create the future.

UXSquid is a comprehensive UX research software platform and tool that guides users through the user research process with interview question examples, plans, templates, and a cheat sheet. It offers a free trial, requires no credit card, and allows users to cancel anytime. UXSquid's platform makes it easy to conduct user interviews and gather feedback. Users can use its automation tools to set up interviews with their target audience and gather valuable information. UXSquid analyzes user experiences and interactions with a company using cutting-edge artificial intelligence. It then makes important suggestions and enhancements to improve a product for its users.

Hubble is a user research platform that offers a comprehensive suite of tools for conducting user research, gathering insights, and testing prototypes. It leverages the power of AI to streamline the research process, recruit top-quality participants, and generate surveys. With features like in-product surveys, prototype testing, usability tests, and participant recruitment, Hubble provides a one-stop solution for user-centric product development.

LanguageGUI is an open-source design system and UI Kit for giving LLMs the flexibility of formatting text outputs into richer graphical user interfaces. It includes dozens of unique UI elements that serve different use cases for rich conversational user interfaces, such as 100+ UI components & customizable screens, 10+ conversational UI widgets, 20+ chat bubbles, 30+ pre-built screens to kickoff your design, 5+ chat sidebars with customizable settings, multi-prompt workflow screen designs, 8+ prompt boxes, and dark mode. LanguageGUI is designed with variables and styles, designed with Figma Auto Layout, and is free to use for both personal and commercial projects without required attribution.

Diagramming AI is an innovative tool that allows users to instantly design and edit UML structures, workflow designs, and various other diagrams with the power of AI. It offers features such as AI-powered automated diagram creation, AI chat for discussions and suggestions, quick edit functionality, project-based diagram code storage, flexible export options, customizable color themes, URL to diagram conversion, image to diagram generation, a library of diagram templates, and more. The tool caters to professionals like software developers, project managers, data analysts, educators, technical writers, business analysts, product managers, researchers, students, and marketing professionals, enhancing their visual representation capabilities across various domains.

Oncora Medical is a healthcare technology company that provides software and data solutions to oncologists and cancer centers. Their products are designed to improve patient care, reduce clinician burnout, and accelerate clinical discoveries. Oncora's flagship product, Oncora Patient Care, is a modern, intelligent user interface for oncologists that simplifies workflow, reduces documentation burden, and optimizes treatment decision making. Oncora Analytics is an adaptive visual and backend software platform for regulatory-grade real world data analytics. Oncora Registry is a platform to capture and report quality data, treatment data, and outcomes data in the oncology space.

MagikKraft is an AI-powered platform that simplifies complex controls by allowing users to create personalized sequences and actions for programmable devices like drones, automated appliances, and self-driving vehicles. Users can craft customized recipes, test them in a virtual environment, and deploy them seamlessly into the real world. MagikKraft prioritizes privacy, user control, and creative freedom, aiming to enhance technology's potential without causing harm or unforeseen consequences.

User Evaluation is an AI-powered insights and analysis tool that offers a comprehensive platform for customer understanding and data analysis. It provides advanced features such as AI-generated reports and presentations, sentiment analysis, transcription solutions, and chat capabilities. The tool helps businesses extract valuable insights from various data sources like audio, video, text, and CSV files, enabling them to make informed decisions and improve customer experiences.

UserTesting is a Human Insight Platform that enables organizations to gather feedback and insights from real users to improve their products and experiences. The platform offers comprehensive testing capabilities, machine-learning powered dashboards, and visualizations to validate findings. UserTesting allows users to target diverse audiences, analyze performance, and benchmark experiences over time. It is trusted by over 3,000 top brands and helps in creating customer empathy throughout the organization.

LLMMM is an AI tool designed to monitor how AI models perceive and present brands. It offers real-time monitoring and cross-model insights to help brands understand their digital presence across various leading AI platforms. With automated analysis and lightning-fast results, LLMMM provides immediate visibility into how AI chatbots interpret brands. The tool focuses on brand intelligence, brand safety monitoring, misalignment detection, and cross-model brand intelligence. Users can create an account in minutes and access a range of features to track and analyze their brand's performance in the AI landscape.

NVIDIA is a world leader in artificial intelligence computing. The company's products and services are used by businesses and governments around the world to develop and deploy AI applications. NVIDIA's AI platform includes hardware, software, and tools that make it easy to build and train AI models. The company also offers a range of cloud-based AI services that make it easy to deploy and manage AI applications. NVIDIA's AI platform is used in a wide variety of industries, including healthcare, manufacturing, retail, and transportation. The company's AI technology is helping to improve the efficiency and accuracy of a wide range of tasks, from medical diagnosis to product design.

Blockade Labs Skybox AI is a powerful tool that allows users to create and explore AI-generated 3D worlds. With Skybox AI, users can quickly and easily create realistic and immersive 3D environments that can be used for a variety of purposes, such as gaming, filmmaking, and architecture. Skybox AI is also a great tool for learning about AI and how it can be used to create new and innovative experiences.

Cool-GenAI-Fashion-Papers is a curated list of resources related to GenAI-Fashion, including papers, workshops, companies, and products. It covers a wide range of topics such as fashion design synthesis, outfit recommendation, fashion knowledge extraction, trend analysis, and more. The repository provides valuable insights and resources for researchers, industry professionals, and enthusiasts interested in the intersection of AI and fashion.

The RISE Journal Club is a bi-weekly reading group that provides a friendly environment for discussing state-of-the-art papers in medical image analysis, AI, and computer vision. The club aims to enhance critical and design thinking skills essential for researchers. Moderators introduce papers for discussion on various topics such as registration, segmentation, federated learning, fairness, and reinforcement learning. The club covers papers from machine and deep learning communities, offering a broad overview of cutting-edge methods.

NeMo Framework is a generative AI framework built for researchers and pytorch developers working on large language models (LLMs), multimodal models (MM), automatic speech recognition (ASR), and text-to-speech synthesis (TTS). The primary objective of NeMo is to provide a scalable framework for researchers and developers from industry and academia to more easily implement and design new generative AI models by being able to leverage existing code and pretrained models.

LLMForEverybody is a comprehensive repository covering various aspects of large language models (LLMs) including pre-training, architecture, optimizers, activation functions, attention mechanisms, tokenization, parallel strategies, training frameworks, deployment, fine-tuning, quantization, GPU parallelism, prompt engineering, agent design, RAG architecture, enterprise deployment challenges, evaluation metrics, and current hot topics in the field. It provides detailed explanations, tutorials, and insights into the workings and applications of LLMs, making it a valuable resource for researchers, developers, and enthusiasts interested in understanding and working with large language models.

EDA-AI is a repository containing implementations of cutting-edge research papers in the field of chip design. It includes DeepPlace, PRNet, HubRouter, and PreRoutGNN models for tasks such as placement, routing, timing prediction, and global routing. Researchers and practitioners can leverage these implementations to explore advanced techniques in chip design.

Awesome-Papers-Autonomous-Agent is a curated collection of recent papers focusing on autonomous agents, specifically interested in RL-based agents and LLM-based agents. The repository aims to provide a comprehensive resource for researchers and practitioners interested in intelligent agents that can achieve goals, acquire knowledge, and continually improve. The collection includes papers on various topics such as instruction following, building agents based on world models, using language as knowledge, leveraging LLMs as a tool, generalization across tasks, continual learning, combining RL and LLM, transformer-based policies, trajectory to language, trajectory prediction, multimodal agents, training LLMs for generalization and adaptation, task-specific designing, multi-agent systems, experimental analysis, benchmarking, applications, algorithm design, and combining with RL.

The Arcade Learning Environment (ALE) is a simple framework that allows researchers and hobbyists to develop AI agents for Atari 2600 games. It is built on top of the Atari 2600 emulator Stella and separates the details of emulation from agent design. The ALE currently supports three different interfaces: C++, Python, and OpenAI Gym.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

Kaapana is an open-source toolkit for state-of-the-art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. Obtaining large amounts of medical data necessary for developing and training modern machine learning methods is an extremely challenging effort that often fails in a multi-center setting, e.g. due to technical, organizational and legal hurdles. A federated approach where the data remains under the authority of the individual institutions and is only processed on-site is, in contrast, a promising approach ideally suited to overcome these difficulties. Following this federated concept, the goal of Kaapana is to provide a framework and a set of tools for sharing data processing algorithms, for standardized workflow design and execution as well as for performing distributed method development. This will facilitate data analysis in a compliant way enabling researchers and clinicians to perform large-scale multi-center studies. By adhering to established standards and by adopting widely used open technologies for private cloud development and containerized data processing, Kaapana integrates seamlessly with the existing clinical IT infrastructure, such as the Picture Archiving and Communication System (PACS), and ensures modularity and easy extensibility.

ai-collective-tools is an open-source community dedicated to creating a comprehensive collection of AI tools for developers, researchers, and enthusiasts. The repository provides a curated selection of AI tools and resources across various categories such as 3D, Agriculture, Art, Audio Editing, Avatars, Chatbots, Code Assistant, Cooking, Copywriting, Crypto, Customer Support, Dating, Design Assistant, Design Generator, Developer, E-Commerce, Education, Email Assistant, Experiments, Fashion, Finance, Fitness, Fun Tools, Gaming, General Writing, Gift Ideas, HealthCare, Human Resources, Image Classification, Image Editing, Image Generator, Interior Designing, Legal Assistant, Logo Generator, Low Code, Models, Music, Paraphraser, Personal Assistant, Presentations, Productivity, Prompt Generator, Psychology, Real Estate, Religion, Research, Resume, Sales, Search Engine, SEO, Shopping, Social Media, Spreadsheets, SQL, Startup Tools, Story Teller, Summarizer, Testing, Text to Speech, Text to Image, Transcriber, Travel, Video Editing, Video Generator, Weather, Writing Generator, and Other Resources.

AiTimeline is a comprehensive timeline showcasing the evolution and advancements in artificial intelligence technologies from 2022 to 2024. It provides a detailed overview of key milestones, releases, and developments in the AI industry, organized chronologically by year. The timeline offers a responsive design for seamless viewing on various devices and includes brief descriptions for each event, making it a valuable resource for researchers, enthusiasts, and anyone interested in tracking the progress of AI technologies.

The Open MatSci ML Toolkit is a flexible framework for machine learning in materials science. It provides a unified interface to a variety of materials science datasets, as well as a set of tools for data preprocessing, model training, and evaluation. The toolkit is designed to be easy to use for both beginners and experienced researchers, and it can be used to train models for a wide range of tasks, including property prediction, materials discovery, and materials design.

SWE-agent is a tool that turns language models (e.g. GPT-4) into software engineering agents capable of fixing bugs and issues in real GitHub repositories. It achieves state-of-the-art performance on the full test set by resolving 12.29% of issues. The tool is built and maintained by researchers from Princeton University. SWE-agent provides a command line tool and a graphical web interface for developers to interact with. It introduces an Agent-Computer Interface (ACI) to facilitate browsing, viewing, editing, and executing code files within repositories. The tool includes features such as a linter for syntax checking, a specialized file viewer, and a full-directory string searching command to enhance the agent's capabilities. SWE-agent aims to improve prompt engineering and ACI design to enhance the performance of language models in software engineering tasks.

llmc is an off-the-shell tool designed for compressing LLM, leveraging state-of-the-art compression algorithms to enhance efficiency and reduce model size without compromising performance. It provides users with the ability to quantize LLMs, choose from various compression algorithms, export transformed models for further optimization, and directly infer compressed models with a shallow memory footprint. The tool supports a range of model types and quantization algorithms, with ongoing development to include pruning techniques. Users can design their configurations for quantization and evaluation, with documentation and examples planned for future updates. llmc is a valuable resource for researchers working on post-training quantization of large language models.

UNav-Sim is an open-source underwater robotics simulator tool that leverages the power of Unreal Engine 5 (UE5) and AirSim to provide highly detailed rendering and simulation capabilities. With UNav-Sim, you can explore underwater terrains, design and test autonomous underwater vehicles (AUVs), and accelerate your learning and experimentation process in the field of underwater robotics.

CrewAI is a cutting-edge framework designed to orchestrate role-playing autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks. It enables AI agents to assume roles, share goals, and operate in a cohesive unit, much like a well-oiled crew. Whether you're building a smart assistant platform, an automated customer service ensemble, or a multi-agent research team, CrewAI provides the backbone for sophisticated multi-agent interactions. With features like role-based agent design, autonomous inter-agent delegation, flexible task management, and support for various LLMs, CrewAI offers a dynamic and adaptable solution for both development and production workflows.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

LLM4Opt is a collection of references and papers focusing on applying Large Language Models (LLMs) for diverse optimization tasks. The repository includes research papers, tutorials, workshops, competitions, and related collections related to LLMs in optimization. It covers a wide range of topics such as algorithm search, code generation, machine learning, science, industry, and more. The goal is to provide a comprehensive resource for researchers and practitioners interested in leveraging LLMs for optimization tasks.

AI-Drug-Discovery-Design is a repository focused on Artificial Intelligence-assisted Drug Discovery and Design. It explores the use of AI technology to accelerate and optimize the drug development process. The advantages of AI in drug design include speeding up research cycles, improving accuracy through data-driven models, reducing costs by minimizing experimental redundancies, and enabling personalized drug design for specific patients or disease characteristics.

A catalog of design patterns for building generative AI applications, capturing current best practices in the field. The repository serves as a living catalog on GitHub to help practitioners navigate through the noise and identify areas for improvement. It is too early for a book due to the evolving nature of generative AI in production and the lack of concrete evidence to support certain claims.

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I'm the Mixed Methods Design Decision Tool, offering guidance on mixed methods research designs, their implementation, and effective communication in studies.

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