Best AI tools for< Catalog Esoteric Texts >

AI Music Catalog is an innovative application that utilizes artificial intelligence to curate and organize music based on user preferences. By leveraging advanced algorithms, the app recommends personalized playlists, suggests new tracks, and helps users discover music tailored to their tastes. With a user-friendly interface, AI Music Catalog simplifies the music discovery process, making it easier for users to explore and enjoy a wide range of genres and artists. Whether you're looking for new music or want to rediscover old favorites, this AI tool offers a seamless and personalized music experience.

Workshop Studio is an AI-powered tool that helps you create and manage your workshops. With Workshop Studio, you can easily create beautiful, engaging workshops that are sure to impress your audience. Our intuitive drag-and-drop interface makes it easy to add content, images, and videos to your workshops. You can also use our built-in templates to get started quickly.

DoMore.ai is a personalized AI tools catalog that offers a wide range of AI-powered tools to enhance productivity, creativity, and efficiency. With DoMore.ai, users can access a curated collection of AI tools tailored to their specific needs and preferences. The platform provides detailed descriptions, ratings, and reviews of each tool, making it easy for users to find the right tool for the job. DoMore.ai also offers a personalized recommendation engine that suggests tools based on user preferences and usage patterns. Whether you're a creative professional, a business owner, or a student, DoMore.ai has the tools you need to achieve your goals.

Epidemic Sound is a platform that offers a vast catalog of music and sound effects for videos, allowing users to bring their stories to life with exclusive soundtracking tools and worry-free publishing worldwide. With over 2.5 billion daily views, Epidemic Sound provides genres, themes, moods, and sound effects for various content types like ads, vlogs, cinematic videos, corporate projects, workouts, sports, and nature. The platform also features a plugin for Adobe and DaVinci Resolve Studio, track suggestions based on video frames, music search based on tone and sound, and an app for on-the-go music discovery. Epidemic Sound is known for its royalty-free music and innovative licensing model that offers users direct licenses with all rights included globally.

Almma.AI is the First A.I. Marketplace offering a variety of AI applications to enhance productivity and innovation. The platform features a range of AI tools for education, marketing, business, lifestyle, and more. Users can access personalized AI solutions for tasks like content generation, interview coaching, and data management. Almma.AI aims to revolutionize various industries by providing cutting-edge AI technologies to streamline workflows and boost efficiency.

Phygital+ is an AI-powered platform that helps businesses bridge the gap between the physical and digital worlds. With Phygital+, businesses can create immersive and interactive experiences for their customers, using a variety of AI-powered tools. These tools include computer vision, natural language processing, and machine learning. Phygital+ is easy to use and can be integrated with a variety of existing systems. It is also scalable, so businesses of all sizes can use it to improve their customer experience.

Skillsoft is an online learning platform that provides a variety of courses and programs to help employees develop their skills and knowledge. The platform uses AI to personalize the learning experience for each user, and it offers a variety of features to help users track their progress and achieve their goals. Skillsoft is used by over 12,000 organizations worldwide, and it has been shown to improve employee engagement, productivity, and retention.

Naper AI is an AI-powered tool designed to simplify Ecommerce SEO by adding SEO to Shopify catalog pages in minutes. It offers features such as automated product enrichment, image-to-product conversion, and category tree generation to help agencies, companies, and freelancers improve indexing, drive more traffic, and boost conversion rates. Naper AI leverages advanced template technology and AI algorithms to create unique, SEO-friendly product listings and enhance product pages with accurate visuals and key details. The tool also provides bulk editing capabilities, SEO-friendly content generation, and seamless integration with platforms like AliExpress and Amazon.

SONOTELLER.AI is an AI song analyzer that analyzes song lyrics and music to provide a comprehensive summary of the song. It can identify musical attributes such as genres, subgenres, moods, instruments, BPM, and key. The tool is designed to simplify the way music lovers understand and organize their music collections, offering features like language recognition, explicit content flagging, and automatic tagging. SONOTELLER.AI is ideal for song analysis, lyric analysis, and music analysis, catering to both music enthusiasts and industry professionals.

Columns is an AI-powered application designed to automate data storytelling, enabling users to create stunning visual narratives effortlessly. The app offers features such as data integration with various platforms, data transformation using AI, professional storytelling design tools, and automation for staying in sync with data updates. Users can chat with AI for data analysis, generate themes for graphs, and share stories across multiple channels. Columns provides a free trial with AI-assisted data storytelling and premium plans for unlimited features and personalized styles.

MOTIV8 is an AI-powered self-growth planner application designed to help individuals explore ideas, organize life, and complete tasks. It offers a comprehensive platform for setting goals, managing tasks, and staying organized, while also providing personalized guidance and recommendations for personal growth and productivity. With the help of GPT-powered AI, users can break down goals into detailed task lists, discover new ideas, and seamlessly turn ideas into actionable tasks. MOTIV8 aims to enhance users' productivity, efficiency, and overall well-being by unlocking their true potential and empowering them to thrive in all areas of life.

Rubick AI is an advanced AI suite designed to revolutionize the eCommerce landscape for brands and sellers. It offers a comprehensive platform with solutions for cataloging, content generation, marketplace templates, and pricing intelligence. With features like data asset management, product attribute extraction, text analysis, and marketing insights, Rubick AI empowers eCommerce platforms at every stage of their growth. The application is known for its ability to streamline operations, enhance product visibility, and boost conversions through AI-enabled tools and services.

Cyanite.ai is an AI-powered music tagging and similarity search application that revolutionizes the way music is organized, searched, and discovered. It offers a range of AI solutions for music professionals to enhance their music cataloging process, generate descriptive narratives, find similar music, perform free text searches, visualize music data, and gain insights into their music library. With its cutting-edge technology, Cyanite.ai aims to streamline music management and discovery processes for individuals and businesses in the music industry.

GPT Book Club is an AI-powered platform designed for book lovers who wish to stay updated on the latest literary trends without having to read every book. Users can interact with AI-generated guides and explore a wide range of book recommendations. The platform aims to provide a convenient and efficient way for users to discover new books and enhance their reading experience.

Choco is an AI-powered platform designed for distributors and restaurants to streamline order processing and management. With Choco AI, orders from various sources like voicemails, SMS, emails, and third-party providers are automatically processed into the ERP system within seconds. The platform aims to enhance operational efficiency, reduce manual work and errors, improve customer satisfaction, and minimize waste in the food supply industry. Choco offers features such as digital order processing, AI-CRM solutions, marketing assistance, team management, and access to a comprehensive product catalog.

BrowseBuddy is an AI chatbot designed for e-commerce growth, offering personalized assistance to enhance the shopping experience. Powered by advanced GPT algorithms, it understands and recommends products tailored to customer needs. The chatbot simplifies the customer's path to purchase, provides real-time solutions, and supports multiple languages. It acts as a digital sales associate, offering personalized guidance and product recommendations, making online shopping interactive and customer-friendly.

CatalogueFlow is an AI-powered platform that automates the creation of product descriptions for online marketplaces. By utilizing sophisticated artificial intelligence algorithms, CatalogueFlow not only saves time and resources but also significantly enhances the visibility and performance of products online. The platform offers features such as automatic generation of product descriptions in customizable formats, translation into various languages with native context, customization of prompts for volume results, template utilization for PDF catalog generation, and the ability to import product data from Excel to generate thousands of descriptions. Transform your business with CatalogueFlow for efficient and optimized product catalog management.

Context Data is an enterprise data platform designed for Generative AI applications. It enables organizations to build AI apps without the need to manage vector databases, pipelines, and infrastructure. The platform empowers AI teams to create mission-critical applications by simplifying the process of building and managing complex workflows. Context Data also provides real-time data processing capabilities and seamless vector data processing. It offers features such as data catalog ontology, semantic transformations, and the ability to connect to major vector databases. The platform is ideal for industries like financial services, healthcare, real estate, and shipping & supply chain.

AI Toolhouse is a comprehensive AI tools catalog and directory that allows users to explore various categories of AI tools and Generative AI advancements. Users can discover the newest additions, stay updated with daily data updates, and access cutting-edge resources in areas such as General Writing, Art, Code Assistant, SQL, Human Resources, E-Commerce, Productivity, Sales, Image Editing, and Developer Tools. The platform offers a wide range of verified filters to help users find the most suitable tools for their needs.

AIHUBB is a comprehensive catalog of top-notch AI tools offering a range of software to streamline your workflow and enhance productivity, including chatbots, speech-to-text software, and more. The platform aims to provide a wide array of categories such as art, image, chat, video, voice, music, prompts, productivity, avatar, social, content writing, SEO, and many others to help users excel in their endeavors.

AIA Podcast's AI Tools Catalog is a collection of AI-powered tools mentioned in the podcast. These tools can be beneficial for programming, content creation, and enhancing productivity. To contribute, users can add services by providing a brief description in the Telegram chat or suggest improvements by forking the repository and submitting a PR. Users can also report closed or inoperative tools through the creation of an Issue. The catalog is a valuable resource for discovering innovative AI tools and services.

model-catalog is a repository containing standardized JSON descriptors for Large Language Model (LLM) model files. Each model is described in a JSON file with details about the model, authors, additional resources, available model files, and providers. The format captures factors like model size, architecture, file format, and quantization format. A Github action merges individual JSON files from the `models/` directory into a `catalog.json` file, which is validated using a JSON schema. Contributors can help by adding new model JSON files following the contribution process.

AI-Catalog is a curated list of AI tools, platforms, and resources across various domains. It serves as a comprehensive repository for users to discover and explore a wide range of AI applications. The catalog includes tools for tasks such as text-to-image generation, summarization, prompt generation, writing assistance, code assistance, developer tools, low code/no code tools, audio editing, video generation, 3D modeling, search engines, chatbots, email assistants, fun tools, gaming, music generation, presentation tools, website builders, education assistants, autonomous AI agents, photo editing, AI extensions, deep face/deep fake detection, text-to-speech, startup tools, SQL-related AI tools, education tools, and text-to-video conversion.

Unity Catalog is an open and interoperable catalog for data and AI, supporting multi-format tables, unstructured data, and AI assets. It offers plugin support for extensibility and interoperates with Delta Sharing protocol. The catalog is fully open with OpenAPI spec and OSS implementation, providing unified governance for data and AI with asset-level access control enforced through REST APIs.

DataHub is an open-source data catalog designed for the modern data stack. It provides a platform for managing metadata, enabling users to discover, understand, and collaborate on data assets within their organization. DataHub offers features such as data lineage tracking, data quality monitoring, and integration with various data sources. It is built with contributions from Acryl Data and LinkedIn, aiming to streamline data management processes and enhance data discoverability across different teams and departments.

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.

Top AI Tools is a comprehensive, community-curated directory that aims to catalog and showcase the most outstanding AI-powered products. This index is not exhaustive, but rather a compilation of our research and contributions from the community.

This repository contains various examples of using Spring AI. Users can clone the entire project or use SpringCLI to select individual projects and create them locally. It includes a project-catalog.yml for adding as a project catalog to Spring CLI. Users can create projects locally using 'spring boot new' or mix a project's functionality into an existing project using 'spring boot add'. Be cautious about building against newer versions of Spring Boot than your project, as it may lead to build or test errors.

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.

Podman AI Lab is an open source extension for Podman Desktop designed to work with Large Language Models (LLMs) on a local environment. It features a recipe catalog with common AI use cases, a curated set of open source models, and a playground for learning, prototyping, and experimentation. Users can quickly and easily get started bringing AI into their applications without depending on external infrastructure, ensuring data privacy and security.

AI Toolkit for Visual Studio Code simplifies generative AI app development by bringing together cutting-edge AI development tools and models from Azure AI Studio Catalog and other catalogs like Hugging Face. Users can browse the AI models catalog, download them locally, fine-tune, test, and deploy them to the cloud. The toolkit offers actions such as finding supported models, testing model inference, fine-tuning models locally or remotely, and deploying fine-tuned models to the cloud. It also provides optimized AI models for Windows and a Q&A section for common issues and resolutions.

Arena Breakout AI is a repository that offers detailed information and resources for downloading, installing, and using the ExCheats tool. Users can access premium plan functionalities and ensure the safety of their Windows system. The tool supports various Windows systems, including Windows 8, 8.1, 10, and 11 (x32/64). To get started, users need to visit the provided website, navigate to the cheats catalog, select CheatSquad Loader 3.5 for any games, download the tool, open the archive, and choose the game to continue.

BeeAI is an open platform that helps users discover, run, and compose AI agents from any framework and language. It offers a framework-agnostic approach, allowing seamless integration of AI agents regardless of the language or platform. Users can build complex workflows using simple building blocks, explore a catalog of powerful agents with integrated search, and benefit from the BeeAI ecosystem with first-class support for Python and TypeScript agent developers.

Collective Mind (CM) is a collection of portable, extensible, technology-agnostic and ready-to-use automation recipes with a human-friendly interface (aka CM scripts) to unify and automate all the manual steps required to compose, run, benchmark and optimize complex ML/AI applications on any platform with any software and hardware: see online catalog and source code. CM scripts require Python 3.7+ with minimal dependencies and are continuously extended by the community and MLCommons members to run natively on Ubuntu, MacOS, Windows, RHEL, Debian, Amazon Linux and any other operating system, in a cloud or inside automatically generated containers while keeping backward compatibility - please don't hesitate to report encountered issues here and contact us via public Discord Server to help this collaborative engineering effort! CM scripts were originally developed based on the following requirements from the MLCommons members to help them automatically compose and optimize complex MLPerf benchmarks, applications and systems across diverse and continuously changing models, data sets, software and hardware from Nvidia, Intel, AMD, Google, Qualcomm, Amazon and other vendors: * must work out of the box with the default options and without the need to edit some paths, environment variables and configuration files; * must be non-intrusive, easy to debug and must reuse existing user scripts and automation tools (such as cmake, make, ML workflows, python poetry and containers) rather than substituting them; * must have a very simple and human-friendly command line with a Python API and minimal dependencies; * must require minimal or zero learning curve by using plain Python, native scripts, environment variables and simple JSON/YAML descriptions instead of inventing new workflow languages; * must have the same interface to run all automations natively, in a cloud or inside containers. CM scripts were successfully validated by MLCommons to modularize MLPerf inference benchmarks and help the community automate more than 95% of all performance and power submissions in the v3.1 round across more than 120 system configurations (models, frameworks, hardware) while reducing development and maintenance costs.

Unitxt is a customizable library for textual data preparation and evaluation tailored to generative language models. It natively integrates with common libraries like HuggingFace and LM-eval-harness and deconstructs processing flows into modular components, enabling easy customization and sharing between practitioners. These components encompass model-specific formats, task prompts, and many other comprehensive dataset processing definitions. The Unitxt-Catalog centralizes these components, fostering collaboration and exploration in modern textual data workflows. Beyond being a tool, Unitxt is a community-driven platform, empowering users to build, share, and advance their pipelines collaboratively.

Browser Copilot is a browser extension that enables users to utilize AI assistants for various web application tasks. It provides a versatile UI and framework to implement copilots that can automate tasks, extract information, interact with web applications, and utilize service APIs. Users can easily install copilots, start chats, save prompts, and toggle the copilot on or off. The project also includes a sample copilot implementation for testing purposes and encourages community contributions to expand the catalog of copilots.

Contoso Chat is a Python sample demonstrating how to build, evaluate, and deploy a retail copilot application with Azure AI Studio using Promptflow with Prompty assets. The sample implements a Retrieval Augmented Generation approach to answer customer queries based on the company's product catalog and customer purchase history. It utilizes Azure AI Search, Azure Cosmos DB, Azure OpenAI, text-embeddings-ada-002, and GPT models for vectorizing user queries, AI-assisted evaluation, and generating chat responses. By exploring this sample, users can learn to build a retail copilot application, define prompts using Prompty, design, run & evaluate a copilot using Promptflow, provision and deploy the solution to Azure using the Azure Developer CLI, and understand Responsible AI practices for evaluation and content safety.

GOAT (Great Onchain Agent Toolkit) is an open-source framework designed to simplify the process of making AI agents perform onchain actions by providing a provider-agnostic solution that abstracts away the complexities of interacting with blockchain tools such as wallets, token trading, and smart contracts. It offers a catalog of ready-made blockchain actions for agent developers and allows dApp/smart contract developers to develop plugins for easy access by agents. With compatibility across popular agent frameworks, support for multiple blockchains and wallet providers, and customizable onchain functionalities, GOAT aims to streamline the integration of blockchain capabilities into AI agents.

Holohub is a central repository for the NVIDIA Holoscan AI sensor processing community to share reference applications, operators, tutorials, and benchmarks. It includes example applications, community components, package configurations, and tutorials. Users and developers of the Holoscan platform are invited to reuse and contribute to this repository. The repository provides detailed instructions on prerequisites, building, running applications, contributing, and glossary terms. It also offers a searchable catalog of available components on the Holoscan SDK User Guide website.

**deep** doctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated framework for fine-tuning, evaluating and running models. For more specific text processing tasks use one of the many other great NLP libraries. **deep** doctection focuses on applications and is made for those who want to solve real world problems related to document extraction from PDFs or scans in various image formats. **deep** doctection provides model wrappers of supported libraries for various tasks to be integrated into pipelines. Its core function does not depend on any specific deep learning library. Selected models for the following tasks are currently supported: * Document layout analysis including table recognition in Tensorflow with **Tensorpack**, or PyTorch with **Detectron2**, * OCR with support of **Tesseract**, **DocTr** (Tensorflow and PyTorch implementations available) and a wrapper to an API for a commercial solution, * Text mining for native PDFs with **pdfplumber**, * Language detection with **fastText**, * Deskewing and rotating images with **jdeskew**. * Document and token classification with all LayoutLM models provided by the **Transformer library**. (Yes, you can use any LayoutLM-model with any of the provided OCR-or pdfplumber tools straight away!). * Table detection and table structure recognition with **table-transformer**. * There is a small dataset for token classification available and a lot of new tutorials to show, how to train and evaluate this dataset using LayoutLMv1, LayoutLMv2, LayoutXLM and LayoutLMv3. * Comprehensive configuration of **analyzer** like choosing different models, output parsing, OCR selection. Check this notebook or the docs for more infos. * Document layout analysis and table recognition now runs with **Torchscript** (CPU) as well and **Detectron2** is not required anymore for basic inference. * [**new**] More angle predictors for determining the rotation of a document based on **Tesseract** and **DocTr** (not contained in the built-in Analyzer). * [**new**] Token classification with **LiLT** via **transformers**. We have added a model wrapper for token classification with LiLT and added a some LiLT models to the model catalog that seem to look promising, especially if you want to train a model on non-english data. The training script for LayoutLM can be used for LiLT as well and we will be providing a notebook on how to train a model on a custom dataset soon. **deep** doctection provides on top of that methods for pre-processing inputs to models like cropping or resizing and to post-process results, like validating duplicate outputs, relating words to detected layout segments or ordering words into contiguous text. You will get an output in JSON format that you can customize even further by yourself. Have a look at the **introduction notebook** in the notebook repo for an easy start. Check the **release notes** for recent updates. **deep** doctection or its support libraries provide pre-trained models that are in most of the cases available at the **Hugging Face Model Hub** or that will be automatically downloaded once requested. For instance, you can find pre-trained object detection models from the Tensorpack or Detectron2 framework for coarse layout analysis, table cell detection and table recognition. Training is a substantial part to get pipelines ready on some specific domain, let it be document layout analysis, document classification or NER. **deep** doctection provides training scripts for models that are based on trainers developed from the library that hosts the model code. Moreover, **deep** doctection hosts code to some well established datasets like **Publaynet** that makes it easy to experiment. It also contains mappings from widely used data formats like COCO and it has a dataset framework (akin to **datasets** so that setting up training on a custom dataset becomes very easy. **This notebook** shows you how to do this. **deep** doctection comes equipped with a framework that allows you to evaluate predictions of a single or multiple models in a pipeline against some ground truth. Check again **here** how it is done. Having set up a pipeline it takes you a few lines of code to instantiate the pipeline and after a for loop all pages will be processed through the pipeline.

Expert in esoteric knowledge such as Neoplatonism, Gnosticsim, Hermeticism, Mythology, and more!

Provides comprehensive guidance on educational standards and assessments.

A tool for historians to analyze and catalog historical images and documents.

GPT expert on CISA's KEV Catalog and CVE existence check

Pokémon card cataloging assistant with Zapier integration.