Best AI tools for< Segment Organs >

Spatial.ai is a customer segmentation platform that helps businesses understand their customers' social, mobile, and web behaviors. This data can be used to create targeted marketing campaigns, make better location decisions, and develop predictive models. Spatial.ai's data is built directly from organic consumer behavior, which means richer insights and higher accuracy.

Contify is a comprehensive market and competitive intelligence platform that helps businesses track information on competitors, customers, and industry segments. It enables users to collect, curate, and share actionable intelligence across their organization. Contify delivers 360° market and competitive intelligence, providing insights to make better decisions faster. The platform offers features such as customizable dashboards, contextual knowledge graphs, AI-powered solutions, noise-free news access, and advanced filtering capabilities.

Segment Anything by Meta AI is an advanced AI model that specializes in image segmentation, allowing users to easily 'cut out' any object in an image with a single click. The model, named SAM, offers zero-shot generalization to unfamiliar objects and images without the need for additional training. SAM's promptable design enables a wide range of segmentation tasks through input prompts, making it a versatile tool for various applications.

Segmently is an AI-powered image segmentation tool that allows users to segment images in any desired way and edit them using Generative AI. It eliminates the need for manual pixel-by-pixel image splitting, saving users time and effort. The tool offers extremely accurate segmentation and provides controllability and editability features through text prompts or clicks. Users can segment objects, human figures, body parts, or anything else they desire, and then edit the segmented images with ease. Segmently is designed for post-editability, allowing users to download the segmented images as layered PSD files for further editing.

DeepMake is a powerful AI tool that empowers users to unleash their creativity by providing control over Open Source AI tools for enhancing visual content. With DeepMake, users can create, edit, and enhance images and videos without any usage limits or reliance on cloud services. The application runs locally on the user's computer, offering a higher level of control over AI-generated output and introducing new AI tools regularly to stay at the forefront of AI capabilities.

Cargo is a revenue operations platform that helps businesses grow their revenue by providing them with the tools they need to segment, enrich, score, and assign leads, as well as automate their revenue operations. Cargo is designed to be easy to use, even for non-technical users, and it can be integrated with a variety of other business tools. With Cargo, businesses can improve their sales performance, increase their efficiency, and make better decisions about their revenue operations.

Meta AI is an intelligent assistant that offers a range of AI experiences for users, including answering questions, providing advice, creating images, and more. Users can also create their own AI characters or explore AIs made by others through AI Studio. The platform aims to empower users to connect with what matters to them and discover new possibilities through AI technology.

Zeta Global is an AI-powered marketing cloud that helps businesses acquire, grow, and retain customers more efficiently. The Zeta Marketing Platform (ZMP) is a cloud-based system that provides tools for data management, messaging, activation, and more. ZMP is powered by proprietary data and AI, which enables businesses to create individualized experiences and drive outcomes throughout the customer lifecycle.

Show by Animaker is an AI-powered email marketing tool that helps businesses create personalized and engaging email campaigns. With Show, you can automate interactive email creation, define unlimited custom user journeys and audience segments, and track campaign performance with advanced analytics. Show also offers deliverability features such as in-built hard stops, deliverability alerts, and domain warm-up capabilities.

Inventoro is a smart inventory forecasting and replenishment tool that helps businesses optimize their inventory management processes. By analyzing past sales data, the tool predicts future sales, recommends order quantities, reduces inventory size, identifies profitable inventory items, and ensures customer satisfaction by avoiding stockouts. Inventoro offers features such as sales forecasting, product segmentation, replenishment, system integration, and forecast automations. The tool is designed to help businesses decrease inventory, increase revenue, save time, and improve product availability. It is suitable for businesses of all sizes and industries looking to streamline their inventory management operations.

Nextatlas Generate Suite is a cutting-edge AI-powered trend forecasting service that revolutionizes market research and consumer behavior analysis. It offers a range of specialized AI assistants to provide detailed workflow planning, innovation scouting, trend analysis, and brand strategy advice. The suite combines generative AI technology with real-time data analysis to deliver actionable insights and strategic recommendations for businesses across various industries.

Kursaha is an AI-powered customer engagement and acquisition platform that helps businesses connect with their audiences in a personalized and meaningful way. It offers a range of features such as chat automation, OTP automation, real-time analytics, audience segmentation, and content generation. Kursaha integrates with various tools and systems, making it a comprehensive solution for marketing, data, and product teams.

KLING AI is an advanced artificial intelligence tool designed to streamline and enhance various business processes. It leverages cutting-edge machine learning algorithms to provide accurate insights and predictions for data analysis, customer segmentation, and personalized recommendations. With a user-friendly interface, KLING AI empowers users to make informed decisions and optimize their operations efficiently.

ActiveCampaign is an all-in-one marketing automation platform that helps businesses create and automate personalized customer experiences. It offers a wide range of features, including email marketing, dynamic content, segmentation, sales CRM, landing pages, and forms. ActiveCampaign also integrates with over 900 other marketing apps, making it a powerful tool for businesses of all sizes.

Roboflow is a platform that provides tools for building and deploying computer vision models. It offers a range of features, including data annotation, model training, and deployment. Roboflow is used by over 250,000 engineers to create datasets, train models, and deploy to production.

ScoreApp is a quiz marketing platform that helps businesses attract warm leads, gain powerful insights, and increase sales. With ScoreApp, businesses can create customized quiz funnels that engage customers and deliver personalized results based on their answers. ScoreApp also offers a variety of features to help businesses promote their quizzes and track their results.

Landing AI is a computer vision platform and AI software company that provides a cloud-based platform for building and deploying computer vision applications. The platform includes a library of pre-trained models, a set of tools for data labeling and model training, and a deployment service that allows users to deploy their models to the cloud or edge devices. Landing AI's platform is used by a variety of industries, including automotive, electronics, food and beverage, medical devices, life sciences, agriculture, manufacturing, infrastructure, and pharma.

Fibr AI is a personalized landing page platform that uses AI to deliver ultra-personalized experiences for every ad, email, or audience. With Fibr, businesses can create relevant landing pages for every ad and deliver personalized experiences dynamically, without any coding or hassle. Fibr's key features include a WYSIWYG editor, dynamic web personalization, ad connect, bulk creation, audience building, AI personalizations at scale, A/B testing, reporting and analytics, and integrations with popular marketing platforms. Fibr's benefits include increased conversions, reduced customer acquisition costs, and improved ROI. Fibr is suitable for businesses of all sizes and industries, and is particularly beneficial for businesses with high customer acquisition costs or low conversion rates.

MeDA School is an educational platform dedicated to promoting and nurturing talents in the field of Medical Artificial Intelligence (AI). The platform aims to establish a solid foundation for intelligent and precision medical talent pools in Taiwan and globally. MeDA School facilitates interaction and communication among members of the intelligent medical ecosystem, fostering deep understanding and trust in the operation and tasks of medical AI. The platform offers a blend of virtual and physical courses, inviting domain experts to share cutting-edge knowledge and integrating interdisciplinary knowledge to be practically applied in various fields.

Evolv AI is an AI-powered platform that focuses on enhancing e-commerce operations and customer experience through the implementation of artificial intelligence. The platform offers solutions for personalization, audience segmentation, marketing strategies, and user experience design, aiming to optimize e-commerce websites and drive revenue growth for businesses.

MOOSE 2.0 is a leaner, meaner, and stronger tool for 3D medical image segmentation. It is built on the principles of data-centric AI and offers a wide range of segmentation models for both clinical and preclinical settings. MOOSE 2.0 is also versatile, allowing users to use it as a command-line tool for batch processing or as a library package for individual processing in Python projects. With its improved speed, accuracy, and flexibility, MOOSE 2.0 is the go-to tool for segmentation tasks.

TotalSegmentator is a 3D Slicer extension designed for fully automatic whole body CT segmentation using the 'TotalSegmentator' AI model. The computation time is less than one minute, making it efficient for research purposes. Users can set up GPU acceleration for faster segmentation. The tool provides a user-friendly interface for loading CT images, creating segmentations, and displaying results in 3D. Troubleshooting steps are available for common issues such as failed computation, GPU errors, and inaccurate segmentations. Contributions to the extension are welcome, following 3D Slicer contribution guidelines.

SurveyX is an advanced academic survey automation system that leverages Large Language Models (LLMs) to generate high-quality, domain-specific academic papers and surveys. Users can request comprehensive academic papers or surveys tailored to specific topics by providing a paper title and keywords for literature retrieval. The system streamlines academic research by automating paper creation, saving users time and effort in compiling research content.

The `sec-parser` project simplifies extracting meaningful information from SEC EDGAR HTML documents by organizing them into semantic elements and a tree structure. It helps in parsing SEC filings for financial and regulatory analysis, analytics and data science, AI and machine learning, causal AI, and large language models. The tool is especially beneficial for AI, ML, and LLM applications by streamlining data pre-processing and feature extraction.

This repository provides a systematic and comprehensive review of efficient LLMs research. We organize the literature in a taxonomy consisting of three main categories, covering distinct yet interconnected efficient LLMs topics from **model-centric** , **data-centric** , and **framework-centric** perspective, respectively. We hope our survey and this GitHub repository can serve as valuable resources to help researchers and practitioners gain a systematic understanding of the research developments in efficient LLMs and inspire them to contribute to this important and exciting field.

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.

FinRobot is an open-source AI agent platform designed for financial applications using large language models. It transcends the scope of FinGPT, offering a comprehensive solution that integrates a diverse array of AI technologies. The platform's versatility and adaptability cater to the multifaceted needs of the financial industry. FinRobot's ecosystem is organized into four layers, including Financial AI Agents Layer, Financial LLMs Algorithms Layer, LLMOps and DataOps Layers, and Multi-source LLM Foundation Models Layer. The platform's agent workflow involves Perception, Brain, and Action modules to capture, process, and execute financial data and insights. The Smart Scheduler optimizes model diversity and selection for tasks, managed by components like Director Agent, Agent Registration, Agent Adaptor, and Task Manager. The tool provides a structured file organization with subfolders for agents, data sources, and functional modules, along with installation instructions and hands-on tutorials.

This repository contains a simple blog application built using Python and Flask framework. It allows users to create, read, update, and delete blog posts. The application uses SQLite database for storing blog data and provides a basic user interface for interacting with the blog. The code is well-organized and easy to understand, making it suitable for beginners looking to learn web development with Python and Flask.

X-AnyLabeling is a robust annotation tool that seamlessly incorporates an AI inference engine alongside an array of sophisticated features. Tailored for practical applications, it is committed to delivering comprehensive, industrial-grade solutions for image data engineers. This tool excels in swiftly and automatically executing annotations across diverse and intricate tasks.

This repository provides a hands-on approach to Retrieval-Augmented Generation (RAG) techniques, simplifying advanced concepts into understandable implementations using Python libraries like openai, numpy, and matplotlib. It offers a collection of Jupyter Notebooks with concise explanations, step-by-step implementations, code examples, evaluations, and visualizations for various RAG techniques. The goal is to make RAG more accessible and demystify its workings for educational purposes.

ReVA (Reverse Engineering Assistant) is a project aimed at building a disassembler agnostic AI assistant for reverse engineering tasks. It utilizes a tool-driven approach, providing small tools to the user to empower them in completing complex tasks. The assistant is designed to accept various inputs, guide the user in correcting mistakes, and provide additional context to encourage exploration. Users can ask questions, perform tasks like decompilation, class diagram generation, variable renaming, and more. ReVA supports different language models for online and local inference, with easy configuration options. The workflow involves opening the RE tool and program, then starting a chat session to interact with the assistant. Installation includes setting up the Python component, running the chat tool, and configuring the Ghidra extension for seamless integration. ReVA aims to enhance the reverse engineering process by breaking down actions into small parts, including the user's thoughts in the output, and providing support for monitoring and adjusting prompts.

Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. Griptape's core components include Structures (Agents, Pipelines, and Workflows), Tasks, Tools, Memory (Conversation Memory, Task Memory, and Meta Memory), Drivers (Prompt and Embedding Drivers, Vector Store Drivers, Image Generation Drivers, Image Query Drivers, SQL Drivers, Web Scraper Drivers, and Conversation Memory Drivers), Engines (Query Engines, Extraction Engines, Summary Engines, Image Generation Engines, and Image Query Engines), and additional components (Rulesets, Loaders, Artifacts, Chunkers, and Tokenizers). Griptape enables developers to create AI-powered applications with ease and efficiency.

Marlin is a highly optimized FP16xINT4 matmul kernel designed for large language model (LLM) inference, offering close to ideal speedups up to batchsizes of 16-32 tokens. It is suitable for larger-scale serving, speculative decoding, and advanced multi-inference schemes like CoT-Majority. Marlin achieves optimal performance by utilizing various techniques and optimizations to fully leverage GPU resources, ensuring efficient computation and memory management.

Dataflow-oriented robotic application (dora-rs) is a framework that makes creation of robotic applications fast and simple. Building a robotic application can be summed up as bringing together hardwares, algorithms, and AI models, and make them communicate with each others. At dora-rs, we try to: make integration of hardware and software easy by supporting Python, C, C++, and also ROS2. make communication low latency by using zero-copy Arrow messages. dora-rs is still experimental and you might experience bugs, but we're working very hard to make it stable as possible.

Zep is a long-term memory service for AI Assistant apps. With Zep, you can provide AI assistants with the ability to recall past conversations, no matter how distant, while also reducing hallucinations, latency, and cost. Zep persists and recalls chat histories, and automatically generates summaries and other artifacts from these chat histories. It also embeds messages and summaries, enabling you to search Zep for relevant context from past conversations. Zep does all of this asyncronously, ensuring these operations don't impact your user's chat experience. Data is persisted to database, allowing you to scale out when growth demands. Zep also provides a simple, easy to use abstraction for document vector search called Document Collections. This is designed to complement Zep's core memory features, but is not designed to be a general purpose vector database. Zep allows you to be more intentional about constructing your prompt: 1. automatically adding a few recent messages, with the number customized for your app; 2. a summary of recent conversations prior to the messages above; 3. and/or contextually relevant summaries or messages surfaced from the entire chat session. 4. and/or relevant Business data from Zep Document Collections.

HuggingFists is a low-code data flow tool that enables convenient use of LLM and HuggingFace models. It provides functionalities similar to Langchain, allowing users to design, debug, and manage data processing workflows, create and schedule workflow jobs, manage resources environment, and handle various data artifact resources. The tool also offers account management for users, allowing centralized management of data source accounts and API accounts. Users can access Hugging Face models through the Inference API or locally deployed models, as well as datasets on Hugging Face. HuggingFists supports breakpoint debugging, branch selection, function calls, workflow variables, and more to assist users in developing complex data processing workflows.

Simple-OpenAI is a Java library that provides a simple way to interact with the OpenAI API. It offers consistent interfaces for various OpenAI services like Audio, Chat Completion, Image Generation, and more. The library uses CleverClient for HTTP communication, Jackson for JSON parsing, and Lombok to reduce boilerplate code. It supports asynchronous requests and provides methods for synchronous calls as well. Users can easily create objects to communicate with the OpenAI API and perform tasks like text-to-speech, transcription, image generation, and chat completions.

Neural Network Compression Framework (NNCF) provides a suite of post-training and training-time algorithms for optimizing inference of neural networks in OpenVINO™ with a minimal accuracy drop. It is designed to work with models from PyTorch, TorchFX, TensorFlow, ONNX, and OpenVINO™. NNCF offers samples demonstrating compression algorithms for various use cases and models, with the ability to add different compression algorithms easily. It supports GPU-accelerated layers, distributed training, and seamless combination of pruning, sparsity, and quantization algorithms. NNCF allows exporting compressed models to ONNX or TensorFlow formats for use with OpenVINO™ toolkit, and supports Accuracy-Aware model training pipelines via Adaptive Compression Level Training and Early Exit Training.

ViGenAiR is a tool that harnesses the power of Generative AI models on Google Cloud Platform to automatically transform long-form Video Ads into shorter variants, targeting different audiences. It generates video, image, and text assets for Demand Gen and YouTube video campaigns. Users can steer the model towards generating desired videos, conduct A/B testing, and benefit from various creative features. The tool offers benefits like diverse inventory, compelling video ads, creative excellence, user control, and performance insights. ViGenAiR works by analyzing video content, splitting it into coherent segments, and generating variants following Google's best practices for effective ads.

Expert in medical imaging AI, adept in machine learning tools.

Guides B2B startups in a structured customer segment evaluation process. Stop guessing! Ideate, Evaluate & Make data-driven decision.

A storyteller AI that draws a new illustration for every story segment.

Assists with biological image processing tools.

Summarizes academic books by chapters or segments, with user prompts.

Assists with personalized, effective email marketing for e-commerce, focusing on engaging content and trends.

Creates detailed, data-driven buyer personas.

I assist salespeople in crafting industry-specific outreach emails.

Guides asset allocation in family segments, focusing on investments.