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.

Upword is an AI-powered research assistant that allows users to control the AI research process, trust the results, and customize every step of the AI research process. Users can summarize various content types, create reports, manage research papers, and collaborate on research projects. Upword offers personalized AI chatbots, research templates, content curation, and a command center for managing research tasks efficiently.

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.

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.

ListenMonster is a free video caption generator tool that provides unmatched speech-to-text accuracy. It allows users to generate automatic subtitles in multiple languages, customize video captions, remove background noise, and export results in various formats. ListenMonster aims to offer high accuracy transcription at affordable prices, with instant results and support for 99 languages. The tool features a smart editor for easy customization, flexible export options, and automatic language detection. Subtitles are emphasized as a necessity in today's world, offering benefits such as global reach, SEO boost, accessibility, and content repurposing.

LeaseLens is a free AI-based lease abstraction software that helps users extract relevant data points from real estate and commercial lease documents quickly and accurately. The application uses award-winning machine learning technology to produce lease abstracts in minutes, saving time and cost for users. LeaseLens offers customizable lease summaries and the option to export results to Excel or Word for a small fee.

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.

Freed is an AI medical scribe tool designed to assist clinicians in transcribing and documenting patient encounters efficiently. It listens, transcribes, and writes notes for clinicians, saving them time and allowing them to focus more on patient care. With over 15,000 clinicians and 400+ health organizations trusting Freed, it aims to improve clinician happiness and streamline the documentation process in healthcare settings. The platform is HIPAA compliant, ensuring data security and privacy for users.

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.

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.

LipDub AI is an advanced AI tool that offers the most realistic AI lip sync and video translation capabilities. It allows users to add new audio to any video and perfectly lip syncs to match, delivering high-quality results. The tool is developed by an experienced in-house research team, led by Chief Scientist Daniel Cohen-Or, ensuring unmatched realism and quality in video content production. LipDub AI also enables users to localize video content into any language, replace dialogue effortlessly, and personalize content for various audiences, making it a versatile and powerful tool for creators and marketers alike.

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 advanced AI algorithms, the platform helps users capture the essence of their unique love story in beautifully crafted photos. Users can upload their photos, customize themes, and receive AI-generated prewedding photos with flawless skin, vibrant colors, and breathtaking backgrounds. The platform offers different pricing tiers with varying themes and photo quantities, ensuring a personalized experience for each user. Dream Prewedding AI prioritizes user privacy by promptly deleting input photos and results from servers within 7 days, and provides users with complete commercial license and ownership of the generated photos.

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.

Multi-AI is a Chrome extension designed to enhance productivity by allowing users to easily compare results from over 30 AI websites. The extension enables users to open multiple AI sites with just one click, saving time and effort. Users can also customize the sites they want to open and the tool continuously adds support for more AI sites and search engines. Multi-AI is completely free to use and provides a convenient way to access various AI platforms for comparison and analysis.

This repository provides code for extracting image and text features using OpenAI CLIP models, supporting both global and local grid visual features. It aims to facilitate multi visual-and-language downstream tasks by allowing users to customize input and output grid resolution easily. The extracted features have shown comparable or superior results in image captioning tasks without hyperparameter tuning. The repo supports various CLIP models and provides detailed information on supported settings and results on MSCOCO image captioning. Users can get started by setting up experiments with the extracted features using X-modaler.

SinkFinder + LLM is a closed-source semi-automatic vulnerability discovery tool that performs static code analysis on jar/war/zip files. It enhances the capability of LLM large models to verify path reachability and assess the trustworthiness score of the path based on the contextual code environment. Users can customize class and jar exclusions, depth of recursive search, and other parameters through command-line arguments. The tool generates rule.json configuration file after each run and requires configuration of the DASHSCOPE_API_KEY for LLM capabilities. The tool provides detailed logs on high-risk paths, LLM results, and other findings. Rules.json file contains sink rules for various vulnerability types with severity levels and corresponding sink methods.

Open Deep Research is an open-source tool designed to generate AI-powered reports from web search results efficiently. It combines Bing Search API for search results retrieval, JinaAI for content extraction, and customizable report generation. Users can customize settings, export reports in multiple formats, and benefit from rate limiting for stability. The tool aims to streamline research and report creation in a user-friendly platform.

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.

VectorCode is a code repository indexing tool that helps users write better prompts for coding LLMs by providing information about the code repository being worked on. It includes a neovim plugin and supports multiple embedding engines. The tool enhances completion results by providing project context and improves understanding of close-source or cutting edge projects.

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.

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.