Best AI tools for< Visualize Results >

Hepta AI is an AI-powered statistics tool designed for scientific research. It simplifies the process of statistical analysis by allowing users to easily input their data and receive comprehensive results, including tables, graphs, and statistical analysis. With a focus on accuracy and efficiency, Hepta AI aims to streamline the research process for scientists and researchers, providing valuable insights and data visualization. The tool offers a user-friendly interface and advanced AI algorithms to deliver precise and reliable statistical outcomes.

Easify AI is an intelligent data analytics tool that serves as an extension of your team. It allows you to connect your databases, query data using natural language, visualize results, and make informed decisions based on real-time insights. The tool is designed to ensure data protection, security, and compliance with GDPR regulations, offering customized AI solutions to meet your business objectives.

HoloEye.AI is a transformative AI biological intelligence company that leverages cutting-edge artificial intelligence technology to revolutionize the field of biological research. The platform offers advanced AI solutions for analyzing complex biological data, enabling researchers to gain deeper insights and accelerate scientific discoveries.

GaitAnalyzer.health is a web application designed to analyze and assess human gait patterns for healthcare professionals and researchers. The platform utilizes advanced algorithms to process gait data captured through various sensors and devices, providing valuable insights into gait abnormalities and biomechanical characteristics. Users can upload gait data, visualize results, and generate detailed reports to aid in diagnosis and treatment planning. GaitAnalyzer.health aims to improve the understanding of human movement patterns and enhance the quality of care in the field of biomechanics and rehabilitation.

Cybertiks is an AI-powered platform that allows users to monitor and analyze agriculture fields remotely via satellite imagery. The platform offers valuable insights such as nutrients and soil texture, tailored for each field using advanced AI models. Cybertiks specializes in harnessing the power of satellite imagery to provide bespoke solutions for various industries worldwide, with a focus on remote sensing of industrial requirements. The platform integrates accurate AI models trained on thousands of fields to deliver over 80% accuracy in analysis results. Users can create new fields, view historical metrics, monitor field status, and visualize analysis results on a map with high resolution. Cybertiks also offers Sensor Fusion, Certifications, Data Synchronization, Data Integration, and convenient data presentation for clients.

SeeYourBabyAI is an AI-powered platform that offers a unique service to predict the appearance of your future baby based on photos of you and your partner. By leveraging advanced AI technology, the platform generates realistic images of potential sons and daughters with a high level of accuracy. Users can upload their photos, receive multiple AI-generated baby photos, and share them with family and friends. The platform focuses on precision, respects ethnic backgrounds, ensures privacy through encryption, and provides high-resolution, realistic photos for a one-time payment. SeeYourBabyAI aims to provide users with a heartwarming and fun experience of visualizing their future children.

Home Visualizer AI is an AI-powered tool that allows users to visualize their dream home. With a few simple clicks, users can upload a photo of their room and select from a variety of design styles. The AI will then generate a realistic rendering of the room, complete with furniture, décor, and even lighting. Home Visualizer AI is perfect for anyone who is looking to remodel their home, or for anyone who is simply curious about what their dream home could look like.

Beebzi.AI is an all-in-one AI content creation platform that offers a wide array of tools for generating various types of content such as articles, blogs, emails, images, voiceovers, and more. The platform utilizes advanced AI technology and behavioral science to empower businesses and individuals in their marketing and sales endeavors. With features like AI Article Wizard, AI Room Designer, AI Landing Page Generator, and AI Code Generation, Beebzi.AI revolutionizes content creation by providing customizable templates, multiple language support, and real-time data insights. The platform also offers various subscription plans tailored for individual entrepreneurs, teams, and businesses, with flexible pricing models based on word count allocations. Beebzi.AI aims to streamline content creation processes, enhance productivity, and drive organic traffic through SEO-optimized content.

Getfloorplan is an AI-powered platform that allows users to create 2D and 3D floor plans, as well as virtual tours for real estate properties. The application offers various sets of property visuals at different price points, starting from basic 2D plans to high-quality renderings. Users can upload a floor plan and receive realistic and attractive visuals within 24 hours, without the need for human involvement. Getfloorplan guarantees the lowest price and offers a money-back guarantee if users are unsatisfied with the results.

Reflectfy is an AI-powered feedback tool that enables businesses to collect customer feedback, analyze sentiments, and generate actionable insights. It offers a comprehensive dashboard to visualize data, AI-powered sentiment analysis, customizable properties, and user management features. Reflectfy helps businesses make data-driven decisions to enhance customer experience and drive growth.

Rupa.AI is an AI-powered photo enhancement tool that leverages the latest advancements in artificial intelligence to enhance your photos effortlessly. With Rupa.AI, you can transform your ordinary photos into stunning visuals with just a few clicks. Whether you want to improve the lighting, colors, or overall quality of your images, Rupa.AI provides intuitive tools to help you achieve professional-level results. Say goodbye to complex editing software and hello to a seamless photo enhancement experience with Rupa.AI.

Tinder Glowup is an AI application that helps users visualize themselves with abs using artificial intelligence technology. By uploading a picture, the AI model generates custom abs pictures in minutes, providing users with motivation for the gym and enhancing their online dating profiles. The application ensures data privacy by deleting uploaded pictures after 24 hours. With a one-time payment model and quick results, Tinder Glowup offers a convenient solution for those looking to transform their appearance digitally.

Pool Planner AI is a cutting-edge AI application that allows users to design and visualize their dream pool in their backyard with realistic results. By uploading a high-quality photo of their backyard, users can explore over 70 different pool designs generated by AI technology. The application helps users make informed decisions, avoid costly mistakes, and confidently choose the perfect pool design for their space. With features like realistic visualizations, time and money-saving benefits, and unlimited design possibilities, Pool Planner AI is revolutionizing the pool planning experience.

ChartPixel is an AI-assisted data analysis platform that empowers users to effortlessly generate charts, insights, and actionable statistics in just 30 seconds. The platform is designed to demystify data and analysis, making it accessible to users of all skill levels. ChartPixel combines the power of AI with domain expertise to provide secure and reliable output, ensuring trustworthy results without compromising data privacy. With user-friendly features and educational tools, ChartPixel helps users clean, wrangle, visualize, and present data with ease, catering to both beginners and professionals.

RTutor is an AI-powered tool developed by Orditus LLC that allows users to analyze and interpret data using natural language. It leverages OpenAI's large language models to translate user queries into R or Python code, which is then executed to provide analysis results. Users can upload data in various formats, ask questions, and receive results in seconds. RTutor offers a comprehensive Exploratory Data Analysis (EDA) report, supports data cleaning and preparation, and provides code chunks for analysis. It is designed for users to interact with data in their own languages, making data analysis accessible and efficient.

Defog.ai provides fine-tuned AI models for enterprise SQL. It helps businesses speed up data analyses in SQL, Python, and R with AI assistants and agents tailored for their business - without sharing their data. Defog.ai's key features include the ability to ask questions of data in natural language, get results when needed, integrate with any SQL database or data warehouse, automatically visualize data as tables and charts, and fine-tune on your metadata to give results you can trust.

Change Clothes AI is an innovative AI-powered online tool that revolutionizes the way we try on clothes. By utilizing cutting-edge AI algorithms, the application analyzes user photos and garment images to seamlessly create realistic images of individuals wearing new outfits. With a user-friendly interface and hyperrealistic results, Change Clothes AI eliminates the guesswork in online shopping, allowing users to visualize themselves in different styles effortlessly. The application offers a free trial and aims to provide a fun and functional experience for exploring endless outfit possibilities.

Kolors Virtual Try On is an AI-powered fashion fitting tool that allows users to virtually try on clothing and accessories. By uploading images of themselves and the garments they want to try, users can quickly generate realistic virtual try-on results. The cutting-edge AI technology behind Kolors Virtual Try On ensures fast and accurate processing, providing users with a diverse range of clothing options to experiment with. The tool offers a secure platform with advanced encryption to protect user privacy, making it a convenient and reliable solution for exploring different fashion styles.

VoxCraft is a free 3D AI generator that allows users to create realistic 3D models using artificial intelligence technology. With VoxCraft, users can easily generate detailed 3D models without the need for advanced design skills or software. The application leverages AI algorithms to streamline the modeling process and produce high-quality results. Whether you are a beginner or an experienced designer, VoxCraft offers a user-friendly platform to bring your creative ideas to life in the world of 3D modeling.

Dressplay is an AI-powered outfit product that allows users to virtually change their clothing styles effortlessly. By selecting target clothing areas, target persons, and desired clothing items, users can generate realistic outfit combinations. The application leverages advanced AI technology to provide accurate and visually appealing results, making it a convenient tool for fashion enthusiasts and individuals looking to experiment with different looks.

Trinity is an Explainable AI (XAI) Analysis and Visualization tool designed for Deep Learning systems or other models performing complex classification or decoding. It provides performance analysis through interactive 3D projections that are hyper-dimensional aware, allowing users to explore hyperspace, hypersurface, projections, and manifolds. Trinity primarily works with JSON data formats and supports the visualization of FeatureVector objects. Users can analyze and visualize data points, correlate inputs with classification results, and create custom color maps for better data interpretation. Trinity has been successfully applied to various use cases including Deep Learning Object detection models, COVID gene/tissue classification, Brain Computer Interface decoders, and Large Language Model (ChatGPT) Embeddings Analysis.

Gemini Pro Vision Playground is a simple project aimed at assisting developers in utilizing the Gemini Pro Vision and Gemini Pro AI models for building applications. It provides a playground environment for experimenting with these models and integrating them into apps. The project includes instructions for setting up the Google AI API key and running the development server to visualize the results. Developers can learn more about the Gemini API documentation and Next.js framework through the provided resources. The project encourages contributions and feedback from the community.

ChainForge is a visual programming environment for battle-testing prompts to LLMs. It is geared towards early-stage, quick-and-dirty exploration of prompts, chat responses, and response quality that goes beyond ad-hoc chatting with individual LLMs. With ChainForge, you can: * Query multiple LLMs at once to test prompt ideas and variations quickly and effectively. * Compare response quality across prompt permutations, across models, and across model settings to choose the best prompt and model for your use case. * Setup evaluation metrics (scoring function) and immediately visualize results across prompts, prompt parameters, models, and model settings. * Hold multiple conversations at once across template parameters and chat models. Template not just prompts, but follow-up chat messages, and inspect and evaluate outputs at each turn of a chat conversation. ChainForge comes with a number of example evaluation flows to give you a sense of what's possible, including 188 example flows generated from benchmarks in OpenAI evals. This is an open beta of Chainforge. We support model providers OpenAI, HuggingFace, Anthropic, Google PaLM2, Azure OpenAI endpoints, and Dalai-hosted models Alpaca and Llama. You can change the exact model and individual model settings. Visualization nodes support numeric and boolean evaluation metrics. ChainForge is built on ReactFlow and Flask.

Nitrain is a framework for medical imaging AI that provides tools for sampling and augmenting medical images, training models on medical imaging datasets, and visualizing model results in a medical imaging context. It supports using pytorch, keras, and tensorflow.

This repository contains data and code for the experiments in the SummHay paper. It includes publicly released Haystacks in conversational and news domains, along with scripts for running the pipeline, visualizing results, and benchmarking automatic evaluation. The data structure includes topics, subtopics, insights, queries, retrievers, summaries, evaluation summaries, and documents. The pipeline involves scripts for retriever scores, summaries, and evaluation scores using GPT-4o. Visualization scripts are provided for compiling and visualizing results. The repository also includes annotated samples for benchmarking and citation information for the SummHay paper.

Cognee is an open-source framework designed for creating self-improving deterministic outputs for Large Language Models (LLMs) using graphs, LLMs, and vector retrieval. It provides a platform for AI engineers to enhance their models and generate more accurate results. Users can leverage Cognee to add new information, utilize LLMs for knowledge creation, and query the system for relevant knowledge. The tool supports various LLM providers and offers flexibility in adding different data types, such as text files or directories. Cognee aims to streamline the process of working with LLMs and improving AI models for better performance and efficiency.

Uncheatable Eval is a tool designed to assess the language modeling capabilities of LLMs on real-time, newly generated data from the internet. It aims to provide a reliable evaluation method that is immune to data leaks and cannot be gamed. The tool supports the evaluation of Hugging Face AutoModelForCausalLM models and RWKV models by calculating the sum of negative log probabilities on new texts from various sources such as recent papers on arXiv, new projects on GitHub, news articles, and more. Uncheatable Eval ensures that the evaluation data is not included in the training sets of publicly released models, thus offering a fair assessment of the models' performance.

GOLEM is an open-source AI framework focused on optimization and learning of structured graph-based models using meta-heuristic methods. It emphasizes the potential of meta-heuristics in complex problem spaces where gradient-based methods are not suitable, and the importance of structured models in various problem domains. The framework offers features like structured model optimization, metaheuristic methods, multi-objective optimization, constrained optimization, extensibility, interpretability, and reproducibility. It can be applied to optimization problems represented as directed graphs with defined fitness functions. GOLEM has applications in areas like AutoML, Bayesian network structure search, differential equation discovery, geometric design, and neural architecture search. The project structure includes packages for core functionalities, adapters, graph representation, optimizers, genetic algorithms, utilities, serialization, visualization, examples, and testing. Contributions are welcome, and the project is supported by ITMO University's Research Center Strong Artificial Intelligence in Industry.

The Looker GenAI Extension provides code examples and resources for building a Looker Extension that integrates with Vertex AI Large Language Models (LLMs). Users can leverage the power of LLMs to enhance data exploration and analysis within Looker. The extension offers generative explore functionality to ask natural language questions about data and generative insights on dashboards to analyze data by asking questions. It leverages components like BQML Remote Models, BQML Remote UDF with Vertex AI, and Custom Fine Tune Model for different integration options. Deployment involves setting up infrastructure with Terraform and deploying the Looker Extension by creating a Looker project, copying extension files, configuring BigQuery connection, connecting to Git, and testing the extension. Users can save example prompts and configure user settings for the extension. Development of the Looker Extension environment includes installing dependencies, starting the development server, and building for production.

FastTrackML is an experiment tracking server focused on speed and scalability, fully compatible with MLFlow. It provides a user-friendly interface to track and visualize your machine learning experiments, making it easy to compare different models and identify the best performing ones. FastTrackML is open source and can be easily installed and run with pip or Docker. It is also compatible with the MLFlow Python package, making it easy to integrate with your existing MLFlow workflows.

This tool is a fork of the 3D Gaussian Splatting code. It allows users to create a dataset ready to be trained with the Gaussian Splatting code. The dataset can be used for various experiments, such as creating orthogonal images, steganography, and lenticular effects. The tool also includes a visualizer that allows users to visualize the "painting" process during the Gaussian Splatting optimization.

Streamline Analyst is a cutting-edge, open-source application powered by Large Language Models (LLMs) designed to revolutionize data analysis. This Data Analysis Agent effortlessly automates tasks such as data cleaning, preprocessing, and complex operations like identifying target objects, partitioning test sets, and selecting the best-fit models based on your data. With Streamline Analyst, results visualization and evaluation become seamless. It aims to expedite the data analysis process, making it accessible to all, regardless of their expertise in data analysis. The tool is built to empower users to process data and achieve high-quality visualizations with unparalleled efficiency, and to execute high-performance modeling with the best strategies. Future enhancements include Natural Language Processing (NLP), neural networks, and object detection utilizing YOLO, broadening its capabilities to meet diverse data analysis needs.

Neptune is a scalable experiment tracker for teams training foundation models. Log millions of runs, effortlessly monitor and visualize model training, and deploy on your infrastructure. Track 100% of metadata to accelerate AI breakthroughs. Log and display any framework and metadata type from any ML pipeline. Organize experiments with nested structures and custom dashboards. Compare results, visualize training, and optimize models quicker. Version models, review stages, and access production-ready models. Share results, manage users, and projects. Integrate with 25+ frameworks. Trusted by great companies to improve workflow.

PyTorch Lightning is a framework for training and deploying AI models. It provides a high-level API that abstracts away the low-level details of PyTorch, making it easier to write and maintain complex models. Lightning also includes a number of features that make it easy to train and deploy models on multiple GPUs or TPUs, and to track and visualize training progress. PyTorch Lightning is used by a wide range of organizations, including Google, Facebook, and Microsoft. It is also used by researchers at top universities around the world. Here are some of the benefits of using PyTorch Lightning: * **Increased productivity:** Lightning's high-level API makes it easy to write and maintain complex models. This can save you time and effort, and allow you to focus on the research or business problem you're trying to solve. * **Improved performance:** Lightning's optimized training loops and data loading pipelines can help you train models faster and with better performance. * **Easier deployment:** Lightning makes it easy to deploy models to a variety of platforms, including the cloud, on-premises servers, and mobile devices. * **Better reproducibility:** Lightning's logging and visualization tools make it easy to track and reproduce training results.

SuperSonic is a next-generation BI platform that integrates Chat BI (powered by LLM) and Headless BI (powered by semantic layer) paradigms. This integration ensures that Chat BI has access to the same curated and governed semantic data models as traditional BI. Furthermore, the implementation of both paradigms benefits from the integration: * Chat BI's Text2SQL gets augmented with context-retrieval from semantic models. * Headless BI's query interface gets extended with natural language API. SuperSonic provides a Chat BI interface that empowers users to query data using natural language and visualize the results with suitable charts. To enable such experience, the only thing necessary is to build logical semantic models (definition of metric/dimension/tag, along with their meaning and relationships) through a Headless BI interface. Meanwhile, SuperSonic is designed to be extensible and composable, allowing custom implementations to be added and configured with Java SPI. The integration of Chat BI and Headless BI has the potential to enhance the Text2SQL generation in two dimensions: 1. Incorporate data semantics (such as business terms, column values, etc.) into the prompt, enabling LLM to better understand the semantics and reduce hallucination. 2. Offload the generation of advanced SQL syntax (such as join, formula, etc.) from LLM to the semantic layer to reduce complexity. With these ideas in mind, we develop SuperSonic as a practical reference implementation and use it to power our real-world products. Additionally, to facilitate further development we decide to open source SuperSonic as an extensible framework.

AirspeedVelocity.jl is a tool designed to simplify benchmarking of Julia packages over their lifetime. It provides a CLI to generate benchmarks, compare commits/tags/branches, plot benchmarks, and run benchmark comparisons for every submitted PR as a GitHub action. The tool freezes the benchmark script at a specific revision to prevent old history from affecting benchmarks. Users can configure options using CLI flags and visualize benchmark results. AirspeedVelocity.jl can be used to benchmark any Julia package and offers features like generating tables and plots of benchmark results. It also supports custom benchmarks and can be integrated into GitHub actions for automated benchmarking of PRs.

Alice is an agentic workflow framework that integrates task execution and intelligent chat capabilities. It provides a flexible environment for creating, managing, and deploying AI agents for various purposes, leveraging a microservices architecture with MongoDB for data persistence. The framework consists of components like APIs, agents, tasks, and chats that interact to produce outputs through files, messages, task results, and URL references. Users can create, test, and deploy agentic solutions in a human-language framework, making it easy to engage with by both users and agents. The tool offers an open-source option, user management, flexible model deployment, and programmatic access to tasks and chats.

KVCache-Factory is a unified framework for KV Cache compression of diverse models. It supports multi-GPUs inference with big LLMs and various attention implementations. The tool enables KV cache compression without Flash Attention v2, multi-GPU inference, and specific models like Mistral. It also provides functions for KV cache budget allocation and batch inference. The visualization tools help in understanding the attention patterns of models.

AgentLab is an open, easy-to-use, and extensible framework designed to accelerate web agent research. It provides features for developing and evaluating agents on various benchmarks supported by BrowserGym. The framework allows for large-scale parallel agent experiments using ray, building blocks for creating agents over BrowserGym, and a unified LLM API for OpenRouter, OpenAI, Azure, or self-hosted using TGI. AgentLab also offers reproducibility features, a unified LeaderBoard, and supports multiple benchmarks like WebArena, WorkArena, WebLinx, VisualWebArena, AssistantBench, GAIA, Mind2Web-live, and MiniWoB.

MINT benchmark aims to evaluate LLMs' ability to solve tasks with multi-turn interactions by (1) using tools and (2) leveraging natural language feedback.

Script Examples and Resource Center for Helping with LAMMPS Input Generation and High-quality Tutorials (SERCHLIGHT)

Expert in data analysis and visualization, offering clear explanations and guidance.

I'm the data, image, or document you uploaded, talking to you.

Your go-to for designing, analyzing, and recording experiments, and generate your lab report.

I craft visuals for medical concepts.

Visualize and inform on bouquets.

This GPT will help you set and visualize an intention for a spiritual ceremony

Visualize & learn about history

I'm an interior decorator using DALL-E 3 to visualize your space's potential.

Visualize D&D adventures with stunning, lore-accurate art. Huzzah!

A film director helping to visualize scripts into storyboards.

Helps character artists visualize items for characters with photo-realistic images.

Visualize your dreams at night.밤에 꾼 꿈을 시각화 해드립니다..จินตนาการความฝันของคุณในเวลากลางคืน.夜の夢を視覚化する.रात में अपने सपनों को दिखाएं.Hãy hình dung giấc mơ của bạn vào ban đêm.Bayangkan mimpimu di malam hari.在夜間可視化您的夢境

I craft and visualize 'what if' histories.

I craft and visualize 2x2 strategy frameworks.

A guide to visualize and manifest your desires through the Law of Attraction.

International Time Zone Meeting Planner / Converter (independently verify info received). Meet your AI assistant for managing international time zones, specializing in coordinating meetings & events across different regions. Effortlessly plan & visualize physical & digital global engagements.

I guide chess strategy and visualize board states.

Explore & interpret the Eurostat database. Type in requests for statistics, also ask to visualize it. Works best wish specific datasets. It's meant for professionals familiar with the Eurostat database looking for a faster way to explore it.

Master the art of Google Sheets with an assistant who can do everything from answer questions about basic features, explain functions in an eloquent and succinct manner, simplify the most complex formulas into easy steps, and help you identify techniques to effectively visualize your data.