Best AI tools for< Find Domain >

Gotely.com is a domain registration website where users can search for available domain names and purchase them. The platform allows individuals and businesses to find the perfect domain name for their website or online presence. With a focus on privacy and data protection, Gotely.com ensures that users' personal information is not sold. The website provides technical support and is available in multiple languages, including English.

Naming Magic is a tool that uses AI to help you name your company and find an available domain. It was created by Swift Ventures, a venture capital firm that invests in AI and data-first businesses. The tool is designed to help entrepreneurs and business owners come up with creative and memorable names for their companies. It can also help you find a domain name that is available and relevant to your business.

Domain-o-tron is a domain name generator service that utilizes AI and ChatGPT to help users generate unique and creative domain name ideas for businesses and products. Users can favorite domain names, explore available options, and register their chosen domains. The tool simplifies the process of finding the perfect domain name by leveraging artificial intelligence technology.

Domain Name Generator PRO is an AI-powered tool that helps users generate unique and creative domain names for their websites. By leveraging artificial intelligence technology, the tool provides users with personalized suggestions based on their input. Whether you are starting a new business or launching a website, Domain Name Generator PRO simplifies the process of finding the perfect domain name that resonates with your brand identity and target audience.

This website is an auction platform for expired .ai domains. It allows users to bid on and purchase expired .ai domains. The website provides a variety of features to help users find and bid on the perfect domain name, including a search bar, a watchlist, and an auction calendar. The website also provides a variety of resources to help users learn more about .ai domains and the auction process.

AI Domain Genius is a free domain name generator that uses the power of artificial intelligence to help you find the perfect domain name for your website or business. With AI Domain Genius, you can generate random domain names, descriptive domain names, clever domain names, alliterative domain names, and metaphorical domain names. You can also use AI Domain Genius to search for domains that are available for purchase. AI Domain Genius is the leading task manager for teams on Google Workspace.

Tunes for Tales is a website dedicated to providing a platform for users to buy and sell domain names. With a focus on simplicity and efficiency, the site allows individuals and businesses to easily acquire the perfect domain for their online presence. Tunes for Tales ensures a smooth and secure transaction process, offering a wide range of domain options to suit various needs and preferences.

Side Hustle is an AI-powered platform that helps entrepreneurs and small business owners generate business ideas, find domain names, and create branding and marketing materials. With over 15 years of experience in e-commerce consulting, Side Hustle has helped over 1,000 businesses succeed. The platform is used by over 20,000 individuals and remote teams and is supported by trusted e-commerce solutions.

DroppedHub is an AI-powered platform that simplifies the process of finding valuable expired domain names for domain flipping or brandable business names. The platform filters, analyzes, and rates over 100,000 dropped domains daily, providing users with a curated list of high-quality domains. With a focus on .com domains and recognizable keywords, DroppedHub aims to offer clean, professional, and brandable domain options to its users.

NameHassle is the most popular Free AI-Powered Domain Name Generator in the world. Search for new company name ideas and get the domain name instantly (before someone else does).

OnlyComs is a website that uses artificial intelligence to generate .com domain names for your next project. It is powered by GPT, a large language model from OpenAI. You can use OnlyComs to find an available .com domain for your next project by describing your project or using a random idea. OnlyComs will then generate a list of available .com domains that match your criteria.

DomainsGPT is a powerful tool that helps you generate brandable one-word domain names for your next startup idea. With a database of over 1,294,245 available and brandable one-word domain names, DomainsGPT makes it easy to find the perfect domain name for your business. Simply enter a few keywords related to your business, and DomainsGPT will generate a list of available domain names that match your criteria. You can then filter the results by popularity, length, and other factors to find the perfect domain name for your business.

Namy.ai is a domain generator that uses AI technology to help users create website domain names quickly and efficiently. With Namy.ai, users can describe their business or idea, and the tool generates relevant domain name suggestions in just 30 seconds. The tool is designed to handle both short and long prompts, making it suitable for various business needs. Namy.ai also allows users to check domain availability and browse pre-generated domain options. Overall, Namy.ai simplifies the process of finding the perfect domain name for any business or project.

Rush Analytics is an all-in-one SEO platform offering a suite of powerful tools for search engine optimization and pay-per-click automation. It provides features such as rank tracking, keyword research, site audit, PBN tools, and more, all aimed at helping users improve their website's visibility and performance. With a focus on automation and analytics, Rush Analytics streamlines SEO tasks and offers valuable insights to enhance online presence and competitiveness. Trusted by top digital brands, Rush Analytics is a comprehensive solution for SEO professionals and marketers seeking efficient and effective tools for their projects.

NameSnack is a free business name generator that uses machine learning and other naming techniques to help entrepreneurs and business owners find unique and memorable names for their brands. It offers a variety of features, including industry-specific naming, instant domain search, and logo design. NameSnack is easy to use and can help you generate names for a variety of businesses, including startups, apps, shops, restaurants, podcasts, products, and more.

Unfetch is an online IDE that enables users to generate, deploy, and run AI agents to automate various tasks. It combines coding capabilities with an online deployment platform, making it easy to create AI agents. Unfetch agents are designed specifically for AI tasks and are compatible with tools like Open AI GPT Store and Langchain. Users can build and deploy AI agents to solve a wide range of tasks efficiently.

Namewizard is an AI-powered domain name generator that helps you find the perfect domain name for your business or project. With Namewizard, you can generate unlimited domain name suggestions, check domain availability, and use advanced search filters to narrow down your results. Namewizard also offers a history of your domain name suggestions so you can easily track your progress. Namewizard is the perfect tool for anyone who is looking for a creative and unique domain name.

The AI Domain Name Generator is an AI-powered tool that helps users craft unique domain names for various categories such as business, travel, technology, education, clothing, finance, food, real estate, fashion, photography, digital marketing, personal branding, and more. It uses artificial intelligence to generate creative and brandable domain names tailored to specific industries and niches.

DomainHuntAI is an AI-powered domain name generator that helps users find unique and catchy domain names for their websites or businesses. By utilizing advanced algorithms and machine learning techniques, DomainHuntAI generates domain name suggestions based on user input and desired keywords. The platform provides a user-friendly interface for easy navigation and domain name selection. With DomainHuntAI, users can save time and effort in brainstorming domain names and increase the chances of finding an available domain that suits their needs.

MyEmailExtractor is a free email extractor tool that helps you find and save emails from web pages to a CSV file. It's a great way to quickly increase your leads and grow your business. With MyEmailExtractor, you can extract emails from any website, including search engine results pages (SERPs), social media sites, and professional networking sites. The extracted emails are accurate and up-to-date, and you can export them to a CSV file for easy use.

The vscode-pddl extension provides comprehensive support for Planning Domain Description Language (PDDL) in Visual Studio Code. It enables users to model planning domains, validate them, industrialize planning solutions, and run planners. The extension offers features like syntax highlighting, auto-completion, plan visualization, plan validation, plan happenings evaluation, search debugging, and integration with Planning.Domains. Users can create PDDL files, run planners, visualize plans, and debug search algorithms efficiently within VS Code.

Awesome-Lists is a curated list of awesome lists across various domains of computer science and beyond, including programming languages, web development, data science, and more. It provides a comprehensive index of articles, books, courses, open source projects, and other resources. The lists are organized by topic and subtopic, making it easy to find the information you need. Awesome-Lists is a valuable resource for anyone looking to learn more about a particular topic or to stay up-to-date on the latest developments in the field.

ChatGPT Shortcut is an AI tool designed to maximize efficiency and productivity by providing a concise list of AI instructions. Users can easily find prompts suitable for various scenarios, boosting productivity and work efficiency. The tool offers one-click prompts, optimization for non-English languages, prompt saving and sharing, and a community voting system. It includes a browser extension compatible with Chrome, Edge, Firefox, and other Chromium-based browsers, as well as a Tampermonkey script for custom domain use. The tool is open-source, allowing users to modify the website's nomenclature, usage directives, and prompts for different languages.

Tianji is a free, non-commercial artificial intelligence system developed by SocialAI for tasks involving worldly wisdom, such as etiquette, hospitality, gifting, wishes, communication, awkwardness resolution, and conflict handling. It includes four main technical routes: pure prompt, Agent architecture, knowledge base, and model training. Users can find corresponding source code for these routes in the tianji directory to replicate their own vertical domain AI applications. The project aims to accelerate the penetration of AI into various fields and enhance AI's core competencies.

The Octopus-v4 project aims to build the world's largest graph of language models, integrating specialized models and training Octopus models to connect nodes efficiently. The project focuses on identifying, training, and connecting specialized models. The repository includes scripts for running the Octopus v4 model, methods for managing the graph, training code for specialized models, and inference code. Environment setup instructions are provided for Linux with NVIDIA GPU. The Octopus v4 model helps users find suitable models for tasks and reformats queries for effective processing. The project leverages Language Large Models for various domains and provides benchmark results. Users are encouraged to train and add specialized models following recommended procedures.

**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.

Upgini is an intelligent data search engine with a Python library that helps users find and add relevant features to their ML pipeline from various public, community, and premium external data sources. It automates the optimization of connected data sources by generating an optimal set of machine learning features using large language models, GraphNNs, and recurrent neural networks. The tool aims to simplify feature search and enrichment for external data to make it a standard approach in machine learning pipelines. It democratizes access to data sources for the data science community.

The DALM (Domain Adapted Language Modeling) toolkit is designed to unify general LLMs with vector stores to ground AI systems in efficient, factual domains. It provides developers with tools to build on top of Arcee's open source Domain Pretrained LLMs, enabling organizations to deeply tailor AI according to their unique intellectual property and worldview. The toolkit contains code for fine-tuning a fully differential Retrieval Augmented Generation (RAG-end2end) architecture, incorporating in-batch negative concept alongside RAG's marginalization for efficiency. It includes training scripts for both retriever and generator models, evaluation scripts, data processing codes, and synthetic data generation code.

DiagrammerGPT is an official implementation of a two-stage text-to-diagram generation framework that utilizes the layout guidance capabilities of LLMs to create accurate open-domain, open-platform diagrams. The tool first generates a diagram plan based on a prompt, which includes dense entities, fine-grained relationships, and precise layouts. Then, it refines the plan iteratively before generating the final diagram. DiagrammerGPT has been used to create various diagrams such as layers of the earth, Earth's position around the sun, and different types of rocks with labels.

Awesome-Robotics-3D is a curated list of 3D Vision papers related to Robotics domain, focusing on large models like LLMs/VLMs. It includes papers on Policy Learning, Pretraining, VLM and LLM, Representations, and Simulations, Datasets, and Benchmarks. The repository is maintained by Zubair Irshad and welcomes contributions and suggestions for adding papers. It serves as a valuable resource for researchers and practitioners in the field of Robotics and Computer Vision.

LLoCO is a technique that learns documents offline through context compression and in-domain parameter-efficient finetuning using LoRA, which enables LLMs to handle long context efficiently.

Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency. It helps users improve AI output quality through data quality, take control of their data and models, and improve efficiency by quickly iterating on the right data and models. Argilla is an open-source community-driven project that provides tools for achieving and maintaining high-quality data standards, with a focus on NLP and LLMs. It is used by AI teams from companies like the Red Cross, Loris.ai, and Prolific to improve the quality and efficiency of AI projects.

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.

The llama-recipes repository provides a scalable library for fine-tuning Llama 2, along with example scripts and notebooks to quickly get started with using the Llama 2 models in a variety of use-cases, including fine-tuning for domain adaptation and building LLM-based applications with Llama 2 and other tools in the LLM ecosystem. The examples here showcase how to run Llama 2 locally, in the cloud, and on-prem.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

The serverless-rag-demo repository showcases a solution for building a Retrieval Augmented Generation (RAG) system using Amazon Opensearch Serverless Vector DB, Amazon Bedrock, Llama2 LLM, and Falcon LLM. The solution leverages generative AI powered by large language models to generate domain-specific text outputs by incorporating external data sources. Users can augment prompts with relevant context from documents within a knowledge library, enabling the creation of AI applications without managing vector database infrastructure. The repository provides detailed instructions on deploying the RAG-based solution, including prerequisites, architecture, and step-by-step deployment process using AWS Cloudshell.

This repository contains the code for the paper Fine-Tuned Language Models Generate Stable Inorganic Materials as Text. It demonstrates how finetuned LLMs can be used to generate stable materials, match or exceed the performance of domain specific models, mutate existing materials, and sample crystal structures conditioned on text descriptions. The method is distinct from CrystaLLM, which trains language models from scratch on CIF-formatted crystals.

Build-your-own-AI-Assistant-Solution-Accelerator is a pre-release and preview solution that helps users create their own AI assistants. It leverages Azure Open AI Service, Azure AI Search, and Microsoft Fabric to identify, summarize, and categorize unstructured information. Users can easily find relevant articles and grants, generate grant applications, and export them as PDF or Word documents. The solution accelerator provides reusable architecture and code snippets for building AI assistants with enterprise data. It is designed for researchers looking to explore flu vaccine studies and grants to accelerate grant proposal submissions.

Assists in ethically finding domain emails, keeping methods confidential.

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Ranks .ai domains for brevity, simplicity, and market relevance.

Expert in ENS domains, offering factual counterarguments.

Dive into the roots of ENS with PrePunk Guru. Discover the tales and treasures of vintage ENS domains and learn what makes PrePunk names a unique piece of blockchain history.

Public Domain PDF Books Finder GPT offers an expansive library of PDFs for easy search and download. It now specializes in finding public domain books from trusted sources.

AI Recruiter for AI Engineering roles

Systematically analyzes ENS domains & hex colors, calculating their ETH value.

Efficient Public Domain music suggestions for projects.

A comprehensive guide for finding themed public domain images with a vast resource list.

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A custom GPT for Brandable Domain Name suggestions.

Enter a software vendor's domain or company name to receive comprehensive company analysis and insight. Let VendorInsights bootstrap your research.

Sharp, humorous, and honest ENS appraiser.

A creative assistant for brainstorming project names.

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Assists in finding suitable lawyers based on user needs. Disclaimer - always do your own extra research