Best AI tools for< Customize Results >

The Japanese Name Generator is an AI-powered tool that helps users discover unique Japanese names by offering AI-generated suggestions that respect traditional naming conventions and cultural diversity. It focuses on creating authentic Japanese names for various purposes, such as character development, writing projects, or naming newborns. The tool stands out for its meaningful name generation process that reflects the beauty, history, and depth of Japanese names, providing users with names commonly used in Japan and rooted in cultural significance.

Gencraft is an AI-powered art image and video generator that allows users to create stunning visuals with just a few clicks. With Gencraft, you can generate unique and eye-catching images and videos for your social media, marketing campaigns, or personal projects. The platform is easy to use and requires no prior design experience. Simply enter a text prompt describing the image or video you want to create, and Gencraft's AI will generate multiple options for you to choose from. You can then customize the results to your liking using a variety of editing tools.

EduHunt is an AI-powered search engine that helps users find quality educational content on YouTube. It allows users to search for specific topics and filters the results to show only the most relevant and high-quality videos. EduHunt also offers a variety of features to help users customize their search results, such as the ability to filter by language, duration, and difficulty level.

Comflowy is an AI tool that empowers users to intervene with AI through a workflow approach to achieve better results. It allows users to control the AI's output by connecting nodes and utilizing various open-source AI models and plugins. The tool supports image and video generation, offers a flexible workflow mode, and is designed to be easy to use and learn. Comflowy also provides templates, tutorials, and workflow management features to streamline the AI workflow process.

MyNewLook is an AI-powered platform that allows users to transform their photos into professional headshots with stunning and unique results in seconds. The platform offers a user-friendly experience with no subscription or credit card required. Users can choose from different pricing plans based on their needs, including a free option and various paid plans. MyNewLook also provides answers to common questions regarding photo training, ownership, speed, photo formats, data storage, refunds, security, usage rights, and more. The platform aims to revolutionize how users approach their social media content and personal branding with high-quality AI-generated headshots.

VibePrompts is an online marketplace where users can buy and sell prompts for various AI models and tools. The platform offers a wide range of prompts tailored to different niches, including art and illustrations, logos and icons, graphics and design, productivity and writing, marketing and business, photography, games and 3D. Users can browse through the collection of prompts, select and customize them to fit their specific requirements, and then activate and engage them in their desired application or platform.

Football Predictions AI is a website that provides users with accurate and reliable football match predictions. Users can access a variety of prediction types, including 1x2, BTTS, Over Under, and Correct Score predictions for matches across different leagues. The site also offers live scores, articles, and settings to customize the user experience. With a focus on user privacy and data protection, Football Predictions AI aims to enhance the football betting experience for enthusiasts and fans.

Freed is an AI medical scribe tool designed to assist clinicians in documenting patient encounters efficiently. It listens, transcribes, and writes notes for clinicians, allowing them to focus more on patient care. Freed offers instant clinical notes tailored to each user's style, learns and adapts to user preferences, and simplifies the documentation process. The tool is HIPAA-compliant, easy to use, and supports multiple languages. It aims to make clinicians happier by saving time and reducing the burden of documentation.

QR Diffusion is an AI-powered QR code art generator that allows users to transform their QR codes into visually stunning works of art in seconds. The website offers a variety of templates and customization options to create unique and eye-catching QR codes. With features like dynamic QR data, editable artwork templates, and analytics dashboard, QR Diffusion provides a user-friendly platform for generating artistic QR codes. Users can easily grab attention and increase scan rates with the help of this innovative tool.

Grok AI Image Generator is a cutting-edge AI tool that allows users to create high-quality images in seconds by converting text prompts into captivating visuals. It features advanced models like Flux.1 Pro, Dev, and Schnell for fine control, fast iterations, and superior image quality. The tool is designed to be user-friendly, accessible to both beginners and professionals, and seamlessly integrates with other creative tools and platforms.

ListenMonster is a free video caption generator tool that provides unmatched speech-to-text accuracy. It allows users to generate automatic subtitles in English and other languages, export transcription files, remove background noise, and customize video captions. ListenMonster supports multiple export options, pre-made templates, and smart editing features. The tool is cost-effective, offers instant results, and can generate subtitles in 99 languages. It also features automatic language detection, a smart subtitle editor, and flexible export options.

User Persona is a free AI-powered tool that allows users to create detailed user personas for their products or services in seconds. It helps businesses in designing and marketing by providing comprehensive profiles based on demographic details, behavior patterns, motivations, and goals. By leveraging research and data from real users, User Persona enables businesses to tailor their offerings to specific target audiences, leading to better user experiences, improved customer satisfaction, and higher engagement rates. The tool is designed to give a competitive edge to businesses by addressing the unique needs of their customers.

LeaseLens is a free AI-based lease abstraction software that offers a cost-effective and efficient solution for extracting relevant data points from real estate and commercial lease documents. By utilizing machine learning technology, LeaseLens can provide accurate lease summaries in minutes, saving time and money compared to traditional manual abstraction services. Users can upload their leases, have the AI identify and extract key information, and export the abstract to Excel or Word for a small fee. The platform ensures data privacy by not sharing information with third parties and deleting leases after abstraction.

The AI-Powered Press Release Generator by ITCOMMS Alexander Likhtman's PR Agency is a cutting-edge tool that leverages advanced artificial intelligence technologies to create high-quality and customized press releases in minutes. By utilizing AI, the tool saves time and money typically spent on manual crafting, enhances your professional image, and offers unique features to streamline the press release creation process.

Brandrly is an AI-powered logo creation tool that enables users to design their perfect logo effortlessly. With advanced algorithms and machine learning capabilities, Brandrly helps individuals and businesses create unique and professional logos in a matter of minutes. The platform offers a user-friendly interface, a wide range of design options, and customization features to suit various branding needs. Whether you are a startup, freelancer, or established company, Brandrly simplifies the logo design process and empowers users to showcase their brand identity effectively.

Kenton Creators is an AI-powered platform that offers a seamless experience for building Discord servers. With effortless setup and instant results, users can customize and launch their servers instantly. The platform caters to various communities such as gamers, music lovers, tech enthusiasts, artists, business owners, anime fans, fitness enthusiasts, foodies, and travel enthusiasts. Kenton Creators provides a user-friendly interface with a wide range of themes and customization options, making server creation quick and easy.

ModernQuery is an AI-powered search solution that enhances website search functionality with ChatGPT's conversational search technology. It offers a no-code solution for easy integration, allowing users to improve their on-site search experience without the need for technical expertise. With features like plug-and-play setup, manual search result adjustments, and autocomplete functionality, ModernQuery aims to provide a seamless and efficient search experience for website visitors. The application supports popular CMS platforms like WordPress and Drupal, as well as custom website integrations through JavaScript embedding.

Typeahead AI is an advanced artificial intelligence tool designed to enhance search functionality on websites and applications. It utilizes machine learning algorithms to predict and suggest search queries as users type, providing a seamless and efficient search experience. By analyzing user behavior and search patterns, Typeahead AI continuously improves its suggestions, leading to higher user engagement and conversion rates. With its intuitive interface and customizable settings, this tool is suitable for a wide range of industries and applications.

Dream Prewedding AI is an AI-powered platform that allows users to create stunning prewedding photos using artificial intelligence technology. By combining the magic of love with cutting-edge AI algorithms, the platform generates personalized prewedding images that capture the essence of each unique love story. Users can upload their photos, customize themes, and receive AI-generated photos with flawless skin, vibrant colors, and breathtaking backgrounds. The platform offers different pricing tiers with varying features and turnaround times, catering to different needs and preferences. Dream Prewedding AI prioritizes user privacy by promptly deleting input photos and results from servers within 7 days. With a focus on delivering high-quality results and personalized experiences, the platform aims to help couples cherish their love stories for a lifetime.

Kusho is an AI-powered tool designed to help software developers build bug-free software efficiently. It offers the capability to transform API specs into exhaustive test suites that seamlessly integrate into the CI/CD pipeline. With KushoAI, developers can generate robust AI-generated test suites, receive AI-analyzed test results, and modify code instantly based on real-time reports. The tool is customizable to meet company's context and understands natural language prompts to produce test case code instantly. KushoAI ensures maximum test coverage in minutes, saves hours of manual effort, and adapts to the codebase to prevent missing any test cases.

Vectara Answer is a sample app for Vectara-powered Summarized Semantic Search (or question-answering) with advanced configuration options. For examples of what you can build with Vectara Answer, check out Ask News, LegalAid, or any of the other demo applications.

LLM AutoEval is a tool that simplifies the process of evaluating Large Language Models (LLMs) using a convenient Colab notebook. It automates the setup and execution of evaluations using RunPod, allowing users to customize evaluation parameters and generate summaries that can be uploaded to GitHub Gist for easy sharing and reference. LLM AutoEval supports various benchmark suites, including Nous, Lighteval, and Open LLM, enabling users to compare their results with existing models and leaderboards.

This repository contains scripts and tools for evaluating a chat app that uses the RAG architecture. It provides parameters to assess the quality and style of answers generated by the chat app, including system prompt, search parameters, and GPT model parameters. The tools facilitate running evaluations, with examples of evaluations on a sample chat app. The repo also offers guidance on cost estimation, setting up the project, deploying a GPT-4 model, generating ground truth data, running evaluations, and measuring the app's ability to say 'I don't know'. Users can customize evaluations, view results, and compare runs using provided tools.

OpenCompass is a one-stop platform for large model evaluation, aiming to provide a fair, open, and reproducible benchmark for large model evaluation. Its main features include: * Comprehensive support for models and datasets: Pre-support for 20+ HuggingFace and API models, a model evaluation scheme of 70+ datasets with about 400,000 questions, comprehensively evaluating the capabilities of the models in five dimensions. * Efficient distributed evaluation: One line command to implement task division and distributed evaluation, completing the full evaluation of billion-scale models in just a few hours. * Diversified evaluation paradigms: Support for zero-shot, few-shot, and chain-of-thought evaluations, combined with standard or dialogue-type prompt templates, to easily stimulate the maximum performance of various models. * Modular design with high extensibility: Want to add new models or datasets, customize an advanced task division strategy, or even support a new cluster management system? Everything about OpenCompass can be easily expanded! * Experiment management and reporting mechanism: Use config files to fully record each experiment, and support real-time reporting of results.

The Persian License Plate Recognition (PLPR) system is a state-of-the-art solution designed for detecting and recognizing Persian license plates in images and video streams. Leveraging advanced deep learning models and a user-friendly interface, it ensures reliable performance across different scenarios. The system offers advanced detection using YOLOv5 models, precise recognition of Persian characters, real-time processing capabilities, and a user-friendly GUI. It is well-suited for applications in traffic monitoring, automated vehicle identification, and similar fields. The system's architecture includes modules for resident management, entrance management, and a detailed flowchart explaining the process from system initialization to displaying results in the GUI. Hardware requirements include an Intel Core i5 processor, 8 GB RAM, a dedicated GPU with at least 4 GB VRAM, and an SSD with 20 GB of free space. The system can be installed by cloning the repository and installing required Python packages. Users can customize the video source for processing and run the application to upload and process images or video streams. The system's GUI allows for parameter adjustments to optimize performance, and the Wiki provides in-depth information on the system's architecture and model training.

**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.

Cognita is an open-source framework to organize your RAG codebase along with a frontend to play around with different RAG customizations. It provides a simple way to organize your codebase so that it becomes easy to test it locally while also being able to deploy it in a production ready environment. The key issues that arise while productionizing RAG system from a Jupyter Notebook are: 1. **Chunking and Embedding Job** : The chunking and embedding code usually needs to be abstracted out and deployed as a job. Sometimes the job will need to run on a schedule or be trigerred via an event to keep the data updated. 2. **Query Service** : The code that generates the answer from the query needs to be wrapped up in a api server like FastAPI and should be deployed as a service. This service should be able to handle multiple queries at the same time and also autoscale with higher traffic. 3. **LLM / Embedding Model Deployment** : Often times, if we are using open-source models, we load the model in the Jupyter notebook. This will need to be hosted as a separate service in production and model will need to be called as an API. 4. **Vector DB deployment** : Most testing happens on vector DBs in memory or on disk. However, in production, the DBs need to be deployed in a more scalable and reliable way. Cognita makes it really easy to customize and experiment everything about a RAG system and still be able to deploy it in a good way. It also ships with a UI that makes it easier to try out different RAG configurations and see the results in real time. You can use it locally or with/without using any Truefoundry components. However, using Truefoundry components makes it easier to test different models and deploy the system in a scalable way. Cognita allows you to host multiple RAG systems using one app. ### Advantages of using Cognita are: 1. A central reusable repository of parsers, loaders, embedders and retrievers. 2. Ability for non-technical users to play with UI - Upload documents and perform QnA using modules built by the development team. 3. Fully API driven - which allows integration with other systems. > If you use Cognita with Truefoundry AI Gateway, you can get logging, metrics and feedback mechanism for your user queries. ### Features: 1. Support for multiple document retrievers that use `Similarity Search`, `Query Decompostion`, `Document Reranking`, etc 2. Support for SOTA OpenSource embeddings and reranking from `mixedbread-ai` 3. Support for using LLMs using `Ollama` 4. Support for incremental indexing that ingests entire documents in batches (reduces compute burden), keeps track of already indexed documents and prevents re-indexing of those docs.

model.nvim is a tool designed for Neovim users who want to utilize AI models for completions or chat within their text editor. It allows users to build prompts programmatically with Lua, customize prompts, experiment with multiple providers, and use both hosted and local models. The tool supports features like provider agnosticism, programmatic prompts in Lua, async and multistep prompts, streaming completions, and chat functionality in 'mchat' filetype buffer. Users can customize prompts, manage responses, and context, and utilize various providers like OpenAI ChatGPT, Google PaLM, llama.cpp, ollama, and more. The tool also supports treesitter highlights and folds for chat buffers.

Jailbreak is a comprehensive guide exploring iOS 17 and its various versions, discussing the benefits, status, possibilities, and future impact of jailbreaking iOS devices. It covers topics such as preparation, safety measures, differences between tethered and untethered jailbreaks, best practices, and FAQs. The guide also provides information on specific jailbreak tools like Palera1n, Serotonin, NekoJB, Redensa, and Dopamine, along with their features and download links. Users can learn about supported devices, the latest updates, and the status of jailbreaking for different iOS versions. The tool aims to empower users to unlock new possibilities and customize their devices beyond Apple's restrictions.

AIO Launcher Scripts is a collection of Lua scripts that can be used with AIO Launcher to enhance its functionality. These scripts can be used to create widget scripts, search scripts, and side menu scripts. They provide various functions such as displaying text, buttons, progress bars, charts, and interacting with app widgets. The scripts can be used to customize the appearance and behavior of the launcher, add new features, and interact with external services.

LLM Finetuning toolkit is a config-based CLI tool for launching a series of LLM fine-tuning experiments on your data and gathering their results. It allows users to control all elements of a typical experimentation pipeline - prompts, open-source LLMs, optimization strategy, and LLM testing - through a single YAML configuration file. The toolkit supports basic, intermediate, and advanced usage scenarios, enabling users to run custom experiments, conduct ablation studies, and automate fine-tuning workflows. It provides features for data ingestion, model definition, training, inference, quality assurance, and artifact outputs, making it a comprehensive tool for fine-tuning large language models.

A huge blocklist of sites containing AI generated content (~950 sites) for cleaning image search engines with uBlock Origin or uBlacklist. Includes hosts file for pi-hole/adguard. Provides instructions for importing blocklists and additional lists for specific content. Allows users to create allowlists and customize filtering based on keywords. Offers tips and tricks for advanced filtering and comparison between uBlock Origin and uBlacklist implementations.

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

Torch-Pruning (TP) is a library for structural pruning that enables pruning for a wide range of deep neural networks. It uses an algorithm called DepGraph to physically remove parameters. The library supports pruning off-the-shelf models from various frameworks and provides benchmarks for reproducing results. It offers high-level pruners, dependency graph for automatic pruning, low-level pruning functions, and supports various importance criteria and modules. Torch-Pruning is compatible with both PyTorch 1.x and 2.x versions.

llm-colosseum is a tool designed to evaluate Language Model Models (LLMs) in real-time by making them fight each other in Street Fighter III. The tool assesses LLMs based on speed, strategic thinking, adaptability, out-of-the-box thinking, and resilience. It provides a benchmark for LLMs to understand their environment and take context-based actions. Users can analyze the performance of different LLMs through ELO rankings and win rate matrices. The tool allows users to run experiments, test different LLM models, and customize prompts for LLM interactions. It offers installation instructions, test mode options, logging configurations, and the ability to run the tool with local models. Users can also contribute their own LLM models for evaluation and ranking.

Instructor for PHP is a library designed for structured data extraction in PHP, powered by Large Language Models (LLMs). It simplifies the process of extracting structured, validated data from unstructured text or chat sequences. Instructor enhances workflow by providing a response model, validation capabilities, and max retries for requests. It supports classes as response models and provides features like partial results, string input, extracting scalar and enum values, and specifying data models using PHP type hints or DocBlock comments. The library allows customization of validation and provides detailed event notifications during request processing. Instructor is compatible with PHP 8.2+ and leverages PHP reflection, Symfony components, and SaloonPHP for communication with LLM API providers.

SemanticFinder is a frontend-only live semantic search tool that calculates embeddings and cosine similarity client-side using transformers.js and SOTA embedding models from Huggingface. It allows users to search through large texts like books with pre-indexed examples, customize search parameters, and offers data privacy by keeping input text in the browser. The tool can be used for basic search tasks, analyzing texts for recurring themes, and has potential integrations with various applications like wikis, chat apps, and personal history search. It also provides options for building browser extensions and future ideas for further enhancements and integrations.

The discourse-chatbot is an original AI chatbot for Discourse forums that allows users to converse with the bot in posts or chat channels. Users can customize the character of the bot, enable RAG mode for expert answers, search Wikipedia, news, and Google, provide market data, perform accurate math calculations, and experiment with vision support. The bot uses cutting-edge Open AI API and supports Azure and proxy server connections. It includes a quota system for access management and can be used in RAG mode or basic bot mode. The setup involves creating embeddings to make the bot aware of forum content and setting up bot access permissions based on trust levels. Users must obtain an API token from Open AI and configure group quotas to interact with the bot. The plugin is extensible to support other cloud bots and content search beyond the provided set.

PowerPointer For Local LLMs is a PowerPoint generator that uses python-pptx and local llm's via the Oobabooga Text Generation WebUI api to create beautiful and informative presentations. It runs locally on your computer, eliminating privacy concerns. The tool allows users to select from 7 designs, make placeholders for images, and easily customize presentations within PowerPoint. Users provide information for the PowerPoint, which is then used to generate text using optimized prompts and the text generation webui api. The generated text is converted into a PowerPoint presentation using the python-pptx library.

ProbSem is a repository that provides a framework to leverage large language models (LLMs) for assigning context-conditional probability distributions over queried strings. It supports OpenAI engines and HuggingFace CausalLM models, and is flexible for research applications in linguistics, cognitive science, program synthesis, and NLP. Users can define prompts, contexts, and queries to derive probability distributions over possible completions, enabling tasks like cloze completion, multiple-choice QA, semantic parsing, and code completion. The repository offers CLI and API interfaces for evaluation, with options to customize models, normalize scores, and adjust temperature for probability distributions.

Refines GPT prompts for optimal results, focusing on user's specific needs.

Elevate your fitness with dynamic bootcamp workouts tailored to your goals. Feel the burn and achieve results with your virtual high-energy trainer! 💪🔥

Customizes website project plans for various industries.

Crea pruebas técnicas para programadores.

Helps design and customize tattoos, recommends artists, and provides aftercare advice.

Create, Customize, and Track Stunning QR Codes Art with Our Free QR Code AI Art Generator. Seamlessly integrate these artistic codes into your marketing materials, packaging, and digital platforms.

I will help you develop, customize and launch your custom GPTs!

Executes tasks via short commands instantly, using a single seesion to customize commands.

Welcome to GAPP Store: Chat, create, customize—your all-in-one AI app universe

I generate themed video call backgrounds with a central focus.

Avatar customizer GPT

定制张家界旅行计划的旅游指南助手

Expert in sneaker customization, buying, collecting, and offering detailed advice on painting techniques and design inspiration

A virtual chef expert in customizing recipes, drink pairings, and cooking advice.

Adaptable Dead by Daylight expert, tailoring responses to player styles.

Adapts news tone for demographics

I create 3D doll head models from photos or descriptions.

Generates detailed orthopedic surgery cards using uploaded formats.

I create artistic EDM visuals and assist with video customization.

Guides in creating, customizing Airtable scripts with user-friendly explanations.