Best AI tools for< Parking Lot Attendant >

AllParking is a UK-based company that provides a service to help drivers appeal parking tickets and fines. The company's AI-powered system generates personalized appeal letters that are tailored to each individual case. AllParking has a 60% appeal success rate and has helped over 7,000 drivers appeal their parking tickets. The company's services are available nationwide and cost £3.99 per appeal.

Sttabot.io is a domain parking webpage generated by the domain owner using Sedo. The website provides resources and information related to the domain name. Visitors can find out if the domain name is for sale or contact the domain owner for inquiries. The webpage also includes a disclaimer stating that Sedo, the platform used for domain parking, does not have a relationship with third-party advertisers and does not control or endorse any specific service or trademark mentioned on the page.

Metropolis is an artificial intelligence company that provides checkout-free payment for drivers and revenue-generating operations for real estate owners. Their computer vision technology enables drivers to enter and exit parking facilities without having to search for cash, fumble for a credit card, or reach for a ticket machine. Metropolis also offers tech-enabled facility management services that deliver increased productivity and efficiency. With over 6 million drivers using their platform and a presence in over 40 major metropolitan centers, Metropolis is a leading provider of AI-powered parking solutions.

Metropolis is an artificial intelligence company that provides checkout-free payment for drivers and revenue-generating operations for real estate owners. Metropolis' computer vision technology enables drivers to enter and exit parking facilities without having to stop and pay. Metropolis also offers a variety of other services, including parking management, valet services, and event parking. Metropolis is committed to providing a seamless and efficient parking experience for drivers and real estate owners alike.

DoNotPay is an AI-powered platform that helps consumers fight big corporations, protect their privacy, find hidden money, and beat bureaucracy. It offers a wide range of tools and services to help users with tasks such as disputing traffic tickets, canceling subscriptions, and getting refunds. DoNotPay is not a law firm and is not licensed to practice law. It provides a platform for legal information and self-help.

Ai Drive is an innovative AI-powered tool designed to streamline and enhance the driving experience. It utilizes advanced algorithms and machine learning to provide real-time navigation, traffic updates, and personalized recommendations to optimize routes. With its intuitive interface and smart features, Ai Drive aims to revolutionize the way people navigate and commute, making driving safer, more efficient, and enjoyable.

Octoicons.com is a website that serves as a domain parking page generated by the domain owner using Sedo Domain Parking. It provides information and resources related to octoicons. The webpage includes a disclaimer stating that Sedo, the platform used for domain parking, does not have a relationship with third-party advertisers and does not control or endorse any specific service or trademark mentioned on the page. Additionally, a privacy policy is likely in place to protect user data.

Autopia Labs is a website that serves as a domain parking page created by the domain owner using Sedo Domain Parking. It provides resources and information related to autopia-labs.com. The webpage does not have any specific services or trademarks associated with Sedo, the platform used for domain parking. The website also includes a privacy policy.

Lingobo.com is a website that serves as a domain parking page created by the domain owner using Sedo Domain Parking. It provides resources and information related to domains. The webpage contains a disclaimer stating that Sedo, the platform used for domain parking, does not have any relationship with third-party advertisers. The privacy policy of the website is also mentioned.

Jargonnay.com is a website that provides resources and information. It seems to be a domain parking page generated by the domain owner using Sedo. The site does not have any specific services or trademarks associated with Sedo. It mainly serves as a platform for the domain owner to park their domain and may not offer any active services or products.

Steercode.com is a domain that is currently parked for free, courtesy of GoDaddy.com. The website does not offer any specific AI tool or application but rather serves as a placeholder for potential future use. It is not associated with any specific company, product, or service, and does not imply any endorsement from GoDaddy.com LLC. The site primarily functions as a domain parking page, displaying copyright information and disclaimers.

Peerai.org is a domain parking webpage created by the domain owner using Sedo Domain Parking. It serves as a platform for displaying information and resources related to the domain. The website does not offer any specific AI tools or applications but rather acts as a placeholder for the domain owner. Users visiting the site may find general information about the domain and its owner.

Cleochat.com is a website that serves as a domain parking page created by Sedo. It provides resources and information related to the domain. The page contains a disclaimer stating that Sedo, the domain parking service, does not have any relationship with third-party advertisers and does not control or endorse any specific service or trademark mentioned on the page. The website also includes a privacy policy.

imbazix.co is a website that is currently for sale. The webpage seems to have been generated by the domain owner using Sedo Domain Parking. The site provides resources and information related to the domain name 'imbazix.co'. It is important to note that Sedo, the platform used for domain parking, does not have a direct relationship with third-party advertisers. The website does not offer any specific services or products but serves as a placeholder for the domain. Visitors should refer to the Privacy Policy for more information.

Getbito.com is a domain parking service provided by GoDaddy.com. It allows users to temporarily park their domain names without setting up a website. The service is free and managed by GoDaddy, a well-known domain registrar and web hosting company. Users can reserve their desired domain names for future use or resale. Getbito.com is a convenient solution for individuals or businesses looking to secure domain names without the need for immediate website development.

Posturenet.app is a website that appears to be a domain parking page, indicating that the domain name 'posturenet.app' may be for sale. The page provides limited information and mainly serves as a placeholder for the domain owner. It is generated by Sedo Domain Parking, a service that allows domain owners to monetize their unused domains by displaying advertisements. The webpage includes a disclaimer stating that Sedo has no relationship with third-party advertisers and does not control or endorse any specific services or trademarks.

stupidgpt.lol is a website that is currently for sale. The domain owner has generated this webpage using Sedo Domain Parking. The website does not offer any specific AI tool or application but serves as a platform for selling the domain. It is important to note that Sedo, the service used for domain parking, is not associated with any third-party advertisers. The website provides information about the domain being for sale and includes a disclaimer regarding Sedo's relationship with advertisers and trademarks.

CommentAnalyzer is a website that provides resources and information related to comment analysis. The webpage is generated by the domain owner using Sedo Domain Parking. It is important to note that Sedo, the platform used for domain parking, does not have a direct relationship with third-party advertisers. The website does not offer any AI tool or application for comment analysis. Instead, it serves as a platform for domain parking and does not imply any association, endorsement, or recommendation of specific services or trademarks.

cheapgpt.xyz is a website that is currently for sale. The domain owner is offering the domain for sale at a price of 1911 USD. The webpage was generated using Sedo Domain Parking. Please note that Sedo, the platform used for domain parking, does not have any relationship with third-party advertisers. The website does not imply any association, endorsement, or recommendation of specific services or trademarks by Sedo. Visitors are advised to refer to the privacy policy for more information.

Qikpm.com is a domain that is currently for sale. The website serves as a platform for the owner to sell the domain. It was generated using Sedo Domain Parking. The site provides information about the domain and offers it for sale to potential buyers. Please note that Sedo, the platform hosting the sale, does not have any relationship with third-party advertisers and does not control or endorse any specific services or trademarks.

This repository includes papers and blogs about Efficient Transformers, Length Extrapolation, Long Term Memory, Retrieval Augmented Generation(RAG), and Evaluation for Long Context Modeling.

searchGPT is an open-source project that aims to build a search engine based on Large Language Model (LLM) technology to provide natural language answers. It supports web search with real-time results, file content search, and semantic search from sources like the Internet. The tool integrates LLM technologies such as OpenAI and GooseAI, and offers an easy-to-use frontend user interface. The project is designed to provide grounded answers by referencing real-time factual information, addressing the limitations of LLM's training data. Contributions, especially from frontend developers, are welcome under the MIT License.

x-crawl is a flexible Node.js AI-assisted crawler library that offers powerful AI assistance functions to make crawler work more efficient, intelligent, and convenient. It consists of a crawler API and various functions that can work normally even without relying on AI. The AI component is currently based on a large AI model provided by OpenAI, simplifying many tedious operations. The library supports crawling dynamic pages, static pages, interface data, and file data, with features like control page operations, device fingerprinting, asynchronous sync, interval crawling, failed retry handling, rotation proxy, priority queue, crawl information control, and TypeScript support.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

**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.

Eden AI aims to simplify the use and deployment of AI technologies by providing a unique API that connects to all the best AI engines. With the rise of **AI as a Service** , a lot of companies provide off-the-shelf trained models that you can access directly through an API. These companies are either the tech giants (Google, Microsoft , Amazon) or other smaller, more specialized companies, and there are hundreds of them. Some of the most known are : DeepL (translation), OpenAI (text and image analysis), AssemblyAI (speech analysis). There are **hundreds of companies** doing that. We're regrouping the best ones **in one place** !

The llms-txt repository proposes a standardization on using an `/llms.txt` file to provide information to help large language models (LLMs) use a website at inference time. The `llms.txt` file is a markdown file that offers brief background information, guidance, and links to more detailed information in markdown files. It aims to provide concise and structured information for LLMs to access easily, helping users interact with websites via AI helpers. The repository also includes tools like a CLI and Python module for parsing `llms.txt` files and generating LLM context from them, along with a sample JavaScript implementation. The proposal suggests adding clean markdown versions of web pages alongside the original HTML pages to facilitate LLM readability and access to essential information.

aiortc is a Python library for Web Real-Time Communication (WebRTC) and Object Real-Time Communication (ORTC). It provides a simple and readable implementation for programmers to understand and tinker with WebRTC internals. The library allows for exchanging audio, video, and data channels, supports SDP generation/parsing, ICE, DTLS, SRTP, SCTP, and various audio/video codecs. It also enables creating innovative products by leveraging Python ecosystem modules, such as computer vision algorithms with OpenCV. Extensive testing ensures high code quality.

Pythagora is an automated testing tool designed to generate unit tests using GPT-4. By running a single command, users can create tests for specific functions in their codebase. The tool leverages AST parsing to identify related functions and sends them to the Pythagora server for test generation. Pythagora primarily focuses on JavaScript code and supports Jest testing framework. Users can expand existing tests, increase code coverage, and find bugs efficiently. It is recommended to review the generated tests before committing them to the repository. Pythagora does not store user code on its servers but sends it to GPT and OpenAI for test generation.

Chat Nio is a next-generation AI one-stop solution that provides a rich and user-friendly interface for interacting with various AI models. It offers features such as AI chat conversation, rich format compatibility, markdown support, message menu support, multi-platform adaptation, dialogue memory, full-model file parsing, full-model DuckDuckGo online search, full-screen large text editing, model marketplace, preset support, site announcements, preference settings, internationalization support, and a rich admin system. Chat Nio also boasts a powerful channel management system that utilizes a self-developed channel distribution algorithm, supports multi-channel management, is compatible with multiple formats, allows for custom models, supports channel retries, enables balanced load within the same channel, and provides channel model mapping and user grouping. Additionally, Chat Nio offers forwarding API services that are compatible with multiple formats in the OpenAI universal format and support multiple model compatible layers. It also provides a custom build and install option for highly customizable deployments. Chat Nio is an open-source project licensed under the Apache License 2.0 and welcomes contributions from the community.

ell is a command-line interface for Language Model Models (LLMs) written in Bash. It allows users to interact with LLMs from the terminal, supports piping, context bringing, and chatting with LLMs. Users can also call functions and use templates. The tool requires bash, jq for JSON parsing, curl for HTTPS requests, and perl for PCRE. Configuration involves setting variables for different LLM models and APIs. Usage examples include asking questions, specifying models, recording input/output, running in interactive mode, and using templates. The tool is lightweight, easy to install, and pipe-friendly, making it suitable for interacting with LLMs in a terminal environment.

Numpy.NET is the most complete .NET binding for NumPy, empowering .NET developers with extensive functionality for scientific computing, machine learning, and AI. It provides multi-dimensional arrays, matrices, linear algebra, FFT, and more via a strong typed API. Numpy.NET does not require a local Python installation, as it uses Python.Included to package embedded Python 3.7. Multi-threading must be handled carefully to avoid deadlocks or access violation exceptions. Performance considerations include overhead when calling NumPy from C# and the efficiency of data transfer between C# and Python. Numpy.NET aims to match the completeness of the original NumPy library and is generated using CodeMinion by parsing the NumPy documentation. The project is MIT licensed and supported by JetBrains.

This package integrates Large Language Models (LLMs) into spaCy, featuring a modular system for **fast prototyping** and **prompting** , and turning unstructured responses into **robust outputs** for various NLP tasks, **no training data** required. It supports open-source LLMs hosted on Hugging Face 🤗: Falcon, Dolly, Llama 2, OpenLLaMA, StableLM, Mistral. Integration with LangChain 🦜️🔗 - all `langchain` models and features can be used in `spacy-llm`. Tasks available out of the box: Named Entity Recognition, Text classification, Lemmatization, Relationship extraction, Sentiment analysis, Span categorization, Summarization, Entity linking, Translation, Raw prompt execution for maximum flexibility. Soon: Semantic role labeling. Easy implementation of **your own functions** via spaCy's registry for custom prompting, parsing and model integrations. For an example, see here. Map-reduce approach for splitting prompts too long for LLM's context window and fusing the results back together

aiohomekit is a Python library that implements the HomeKit protocol for controlling HomeKit accessories using asyncio. It is primarily used with Home Assistant, targeting the same versions of Python and following their code standards. The library is still under development and does not offer API guarantees yet. It aims to match the behavior of real HAP controllers, even when not strictly specified, and works around issues like JSON formatting, boolean encoding, header sensitivity, and TCP packet splitting. aiohomekit is primarily tested with Phillips Hue and Eve Extend bridges via Home Assistant, but is known to work with many more devices. It does not support BLE accessories and is intended for client-side use only.

Aiohttp pydantic is an aiohttp view to easily parse and validate requests. You define using function annotations what your methods for handling HTTP verbs expect, and Aiohttp pydantic parses the HTTP request for you, validates the data, and injects the parameters you want. It provides features like query string, request body, URL path, and HTTP headers validation, as well as Open API Specification generation.

qlora-pipe is a pipeline parallel training script designed for efficiently training large language models that cannot fit on one GPU. It supports QLoRA, LoRA, and full fine-tuning, with efficient model loading and the ability to load any dataset that Axolotl can handle. The script allows for raw text training, resuming training from a checkpoint, logging metrics to Tensorboard, specifying a separate evaluation dataset, training on multiple datasets simultaneously, and supports various models like Llama, Mistral, Mixtral, Qwen-1.5, and Cohere (Command R). It handles pipeline- and data-parallelism using Deepspeed, enabling users to set the number of GPUs, pipeline stages, and gradient accumulation steps for optimal utilization.

WDoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It supports querying tens of thousands of documents simultaneously, offers tailored summaries to efficiently manage large amounts of information, and includes features like supporting multiple file types, various LLMs, local and private LLMs, advanced RAG capabilities, advanced summaries, trust verification, markdown formatted answers, sophisticated embeddings, extensive documentation, scriptability, type checking, lazy imports, caching, fast processing, shell autocompletion, notification callbacks, and more. WDoc is ideal for researchers, students, and professionals dealing with extensive information sources.

Generates a unique parking lot scenario with each response.

Give me the time + day of week and upload your parking sign photo for a simple explanation.

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Answers questions about Hempstead, NY's code with diagrams and sources.

Your motorcycle journey planner, from routes to packing.

Travel expert offering advice on travel, travel insurance, packing, and ticket buying. Contact: [email protected]

中文交流的韩语句子解析助手。

Going on or planning a business trip to Riyadh and don't know what to do to prepare? or how to start?I can help you out!Type help for more commands