Best AI tools for< Find Patterns >

ZenDiary is an AI-powered journal application designed for self-discovery, mindfulness, and personal growth. It offers features such as personalized reflections, mood tracking, daily prompts, customizable AI companion, and secure journaling environment. Users can benefit from increased self-awareness, improved mental well-being, enhanced emotional intelligence, and greater mindfulness. The application provides a supportive and encouraging environment for users to explore their thoughts and emotions.

Everypixel is a stock image search engine powered by AI that provides access to more than 50 best sources of free and premium images. Users can search for images by keywords or by uploading an image URL. The platform offers a wide range of images, including exclusive patterns, vectors, and microstock photos. Everypixel aims to simplify the process of finding high-quality images for personal and commercial use, with both free and paid options available.

Kanaries is an augmented analytics platform that uses AI to automate the process of data exploration and visualization. It offers a variety of features to help users quickly and easily find insights in their data, including: * **RATH:** An AI-powered engine that can automatically generate insights and recommendations based on your data. * **Graphic Walker:** A visual analytics tool that allows you to explore your data in a variety of ways, including charts, graphs, and maps. * **Data Painter:** A data cleaning and transformation tool that makes it easy to prepare your data for analysis. * **Causal Analysis:** A tool that helps you identify and understand the causal relationships between variables in your data. Kanaries is designed to be easy to use, even for users with no prior experience with data analysis. It is also highly scalable, so it can be used to analyze large datasets. Kanaries is a valuable tool for anyone who wants to quickly and easily find insights in their data. It can be used by businesses of all sizes, and it is particularly well-suited for organizations that are looking to improve their data-driven decision-making.

Miros.ai is an AI-powered website that offers a revolutionary product discovery solution called Wordless Search. By leveraging AI technology, Miros.ai enables users to find desired products without the need for text labels or tags. The platform analyzes browsing patterns to understand buying intent and delivers highly relevant product results in a visually engaging manner. With a focus on style-driven products where aesthetics matter, Miros.ai transforms the online shopping experience by providing rapid and personalized product discovery.

MeowTalk is an AI tool that allows users to decode their cat's meows and understand what their feline friends are trying to communicate. By analyzing the sound patterns of your cat's meows, MeowTalk translates them into human language, providing insights into your cat's thoughts and feelings. With MeowTalk, you can bridge the communication gap between you and your cat, leading to a deeper understanding and stronger bond.

Tremello is a market research platform that uses AI to deliver off-market data. It combines a leading AI engine with human experts to provide bespoke intelligence delivered directly to the user's inbox. Tremello's AI analyzes relationships, identifies patterns, and considers the broader context, delivering meaningful and actionable insights on top of a base human layer. It leverages a diverse range of data sources, including public and private databases, industry reports, social media archives, company websites, and government filings, ensuring a complete and comprehensive picture of the research subject.

Tuned Together is an AI-powered platform designed to help individuals find their ideal romantic partner. By utilizing advanced Language Style Matching algorithms, the platform offers a unique compatibility assessment based on users' communication patterns. Backed by scientific research, Tuned Together provides predictive insights on relationship success and stability, empowering users to make informed decisions in their quest for love.

Melon is an AI-powered tool that helps users learn and think more effectively. It allows users to save, organize, and visualize their learning from various sources, including articles, LinkedIn posts, tweets, and YouTube videos. Melon's AI brain can retrieve, summarize, and connect insights from saved content, helping users identify patterns and correlations that might not be immediately apparent to them. Users can also create collections to group saved content based on topic, focus, or area of interest.

Prelto is an AI tool designed to help users discover insights, patterns, and opportunities on Reddit. By leveraging AI technology, users can gain a deeper understanding of their audience by analyzing posts and comments. The tool allows users to ask research questions and find answers derived directly from the content. Prelto also enables users to detect emerging patterns from thousands of comments, providing a comprehensive view of audience behavior. Additionally, the tool offers automatic labeling, allowing users to categorize posts based on custom-defined labels. Prelto aims to streamline the process of audience analysis and provide valuable insights for users.

Lamucal is an AI-powered music application that provides users with accurate chords, beats, lyrics, and tabs for any song. It features AI-generated rhythm patterns and precise lyric synchronization, making it an invaluable tool for musicians and music enthusiasts alike. With Lamucal, users can easily find and play their favorite songs, explore new music, and improve their musical skills.

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

DESIGNOVEL is an AI-powered fashion design platform that provides users with a variety of tools to create and sell their own clothing designs. The platform offers a range of features, including a 3D design tool, a fabric library, and a marketplace where users can sell their designs. DESIGNOVEL also offers a range of educational resources, including tutorials and workshops, to help users learn about fashion design. The platform is designed to be easy to use, even for beginners, and it offers a variety of pricing plans to fit every budget.

Find AI is an AI-powered search engine that provides users with advanced search capabilities to unlock contact details and gain more accurate insights. The platform caters to individuals and companies looking to research people, companies, startups, founders, and more. Users can access email addresses and premium search features to explore a wide range of data related to various industries and sectors. Find AI offers a user-friendly interface and efficient search algorithms to deliver relevant results in a timely manner.

Find your next book is an AI-powered librarian that provides personalized book recommendations based on your preferences. It uses advanced algorithms to analyze your reading history, interests, and other factors to suggest books that you're likely to enjoy. The platform offers a wide range of genres and authors to choose from, making it easy to find your next favorite read.

Find Your AIs is an AI directory website that showcases a wide range of AI tools and applications. It offers a platform for users to explore and discover various AI-powered solutions across different categories such as digital wellness, marketing, text-to-image generation, resume customization, and more. The website aims to connect users with innovative AI technologies to enhance their daily lives and work efficiency.

Find My Remote is an AI-powered job search platform that streamlines the job hunting process by leveraging artificial intelligence to find and structure job postings from various ATS platforms. Users can set their job preferences, receive personalized job matches, and save time by applying to curated job listings. The platform offers exclusive job opportunities not typically found on popular job search websites like LinkedIn. With features such as job discovery, application tracking, and faster application process, Find My Remote aims to revolutionize the way job seekers find and apply for jobs.

Find New AI is a comprehensive platform offering a variety of AI tools and efficiency solutions for different purposes such as SEO, content creation, marketing, link building, image manipulation, and more. The website provides reviews, tutorials, and guides on utilizing AI software effectively to enhance productivity and creativity in various domains.

Find My Size is a web application that provides personalized size recommendations for exclusive deals at hundreds of top retailers. Users can input their measurements and preferences to receive tailored suggestions for clothing items that will fit them perfectly. The platform aims to enhance the online shopping experience by helping customers find the right size and style without the need for multiple returns. Find My Size collaborates with various retailers to offer a wide range of products across different categories, including active & sportswear, young contemporary, business & workwear, lingerie & sleepwear, outerwear, maternity wear, plus size apparel, and swimwear.

Prolific is a platform that allows users to quickly find research participants they can trust. It offers a diverse participant pool, including domain experts and API integration. Prolific ensures high-quality human-powered datasets in less than 2 hours, trusted by over 3000 organizations. The platform is designed for ease of use, with self-serve options and scalability. It provides rich, accurate, and comprehensive responses from engaged participants, verified through manual and algorithmic quality checks.

PimEyes is an online face search engine that uses face recognition technology to find pictures containing given faces. It is a great tool to audit copyright infringement, protect your privacy, and find people.

imodelsX is a Scikit-learn friendly library that provides tools for explaining, predicting, and steering text models/data. It also includes a collection of utilities for getting started with text data. **Explainable modeling/steering** | Model | Reference | Output | Description | |---|---|---|---| | Tree-Prompt | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/tree_prompt) | Explanation + Steering | Generates a tree of prompts to steer an LLM (_Official_) | | iPrompt | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/iprompt) | Explanation + Steering | Generates a prompt that explains patterns in data (_Official_) | | AutoPrompt | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/autoprompt) | Explanation + Steering | Find a natural-language prompt using input-gradients (⌛ In progress)| | D3 | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/d3) | Explanation | Explain the difference between two distributions | | SASC | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/sasc) | Explanation | Explain a black-box text module using an LLM (_Official_) | | Aug-Linear | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/aug_linear) | Linear model | Fit better linear model using an LLM to extract embeddings (_Official_) | | Aug-Tree | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/aug_tree) | Decision tree | Fit better decision tree using an LLM to expand features (_Official_) | **General utilities** | Model | Reference | |---|---| | LLM wrapper| [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/llm) | Easily call different LLMs | | | Dataset wrapper| [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/data) | Download minimially processed huggingface datasets | | | Bag of Ngrams | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/bag_of_ngrams) | Learn a linear model of ngrams | | | Linear Finetune | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/linear_finetune) | Finetune a single linear layer on top of LLM embeddings | | **Related work** * [imodels package](https://github.com/microsoft/interpretml/tree/main/imodels) (JOSS 2021) - interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible). * [Adaptive wavelet distillation](https://arxiv.org/abs/2111.06185) (NeurIPS 2021) - distilling a neural network into a concise wavelet model * [Transformation importance](https://arxiv.org/abs/1912.04938) (ICLR 2020 workshop) - using simple reparameterizations, allows for calculating disentangled importances to transformations of the input (e.g. assigning importances to different frequencies) * [Hierarchical interpretations](https://arxiv.org/abs/1807.03343) (ICLR 2019) - extends CD to CNNs / arbitrary DNNs, and aggregates explanations into a hierarchy * [Interpretation regularization](https://arxiv.org/abs/2006.14340) (ICML 2020) - penalizes CD / ACD scores during training to make models generalize better * [PDR interpretability framework](https://www.pnas.org/doi/10.1073/pnas.1814225116) (PNAS 2019) - an overarching framewwork for guiding and framing interpretable machine learning

A website that tries to make sense of those three-letter airport codes. It provides detailed information about each airport, including its name, location, and a description. The site also includes a search function that allows users to find airports by name, city, or country. Airport content can be found in `/data` in individual files. Use the three-letter airport code as the filename (e.g. `phx.json`). Content in each `json` file: `id` = three-letter code (e.g. phx), `name` = airport name (Sky Harbor International Airport), `city` = primary city name (Phoenix), `state` = state name, if applicable (Arizona), `stateShort` = state abbreviation, if applicable (AZ), `country` = country name (USA), `description` = description, accepts markdown, use * for emphasis on letters, `imageCredit` = name of photographer, `imageCreditLink` = URL of photographer's Flickr page. You can also optionally add for aid in searching: `city2` = another city or country the airport may be known for. Adding a `json` file to `/data` will automatically render it. You do not need to manually add the path anywhere.

Qlib is an open-source, AI-oriented quantitative investment platform that supports diverse machine learning modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning. It covers the entire chain of quantitative investment, from alpha seeking to order execution. The platform empowers researchers to explore ideas and implement productions using AI technologies in quantitative investment. Qlib collaboratively solves key challenges in quantitative investment by releasing state-of-the-art research works in various paradigms. It provides a full ML pipeline for data processing, model training, and back-testing, enabling users to perform tasks such as forecasting market patterns, adapting to market dynamics, and modeling continuous investment decisions.

code2prompt is a command-line tool that converts your codebase into a single LLM prompt with a source tree, prompt templating, and token counting. It automates generating LLM prompts from codebases of any size, customizing prompt generation with Handlebars templates, respecting .gitignore, filtering and excluding files using glob patterns, displaying token count, including Git diff output, copying prompt to clipboard, saving prompt to an output file, excluding files and folders, adding line numbers to source code blocks, and more. It helps streamline the process of creating LLM prompts for code analysis, generation, and other tasks.

Invariant Analyzer is an open-source scanner designed for LLM-based AI agents to find bugs, vulnerabilities, and security threats. It scans agent execution traces to identify issues like looping behavior, data leaks, prompt injections, and unsafe code execution. The tool offers a library of built-in checkers, an expressive policy language, data flow analysis, real-time monitoring, and extensible architecture for custom checkers. It helps developers debug AI agents, scan for security violations, and prevent security issues and data breaches during runtime. The analyzer leverages deep contextual understanding and a purpose-built rule matching engine for security policy enforcement.

SuperPrompt is an open-source project designed to help users understand AI agents. The project includes a prompt with theoretical, mathematical, and binary instructions for users to follow. It aims to serve as a universal catalyst for infinite conceptual evolution, focusing on metamorphic abstract reasoning and self-transcending objectives. The prompt encourages users to explore fundamental truths, create order from cognitive chaos, and prepare for paradigm shifts in understanding. It provides guidelines for analyzing multidimensional states, synthesizing emergent patterns, and integrating new paradigms.

The Azure Open AI Application Landing Zone Solution Accelerator aims to assist in setting up development and production environments for Generative AI solutions using Azure Open AI and Azure Services. It provides deployment templates for common Gen AI solution patterns and offers customization options. The solution accelerator also offers best practices for technology usage in various scenarios.

Vertex AI is a platform for end-to-end model development. It consist of core components that make the processes of MLOps possible for design patterns of all types.

Neurite is an innovative project that combines chaos theory and graph theory to create a digital interface that explores hidden patterns and connections for creative thinking. It offers a unique workspace blending fractals with mind mapping techniques, allowing users to navigate the Mandelbrot set in real-time. Nodes in Neurite represent various content types like text, images, videos, code, and AI agents, enabling users to create personalized microcosms of thoughts and inspirations. The tool supports synchronized knowledge management through bi-directional synchronization between mind-mapping and text-based hyperlinking. Neurite also features FractalGPT for modular conversation with AI, local AI capabilities for multi-agent chat networks, and a Neural API for executing code and sequencing animations. The project is actively developed with plans for deeper fractal zoom, advanced control over node placement, and experimental features.

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

Evals provide a framework for evaluating large language models (LLMs) or systems built using LLMs. We offer an existing registry of evals to test different dimensions of OpenAI models and the ability to write your own custom evals for use cases you care about. You can also use your data to build private evals which represent the common LLMs patterns in your workflow without exposing any of that data publicly.

The Enterprise Azure OpenAI Hub is a comprehensive repository designed to guide users through the world of Generative AI on the Azure platform. It offers a structured learning experience to accelerate the transition from concept to production in an Enterprise context. The hub empowers users to explore various use cases with Azure services, ensuring security and compliance. It provides real-world examples and playbooks for practical insights into solving complex problems and developing cutting-edge AI solutions. The repository also serves as a library of proven patterns, aligning with industry standards and promoting best practices for secure and compliant AI development.

The 'awesome-deliberative-prompting' repository focuses on how to ask Large Language Models (LLMs) to produce reliable reasoning and make reason-responsive decisions through deliberative prompting. It includes success stories, prompting patterns and strategies, multi-agent deliberation, reflection and meta-cognition, text generation techniques, self-correction methods, reasoning analytics, limitations, failures, puzzles, datasets, tools, and other resources related to deliberative prompting. The repository provides a comprehensive overview of research, techniques, and tools for enhancing reasoning capabilities of LLMs.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

Pieces for Developers is a closed-source Obsidian plugin designed to revolutionize coding workflows by incorporating key capabilities and favorite features directly into the Obsidian environment. The plugin, Pieces Copilot for Obsidian, enhances coding and problem-solving experiences by providing insights on code snippets, generating samples, and facilitating navigation through PRs. Users can capture, manage, share, and discover code snippets and developer materials with ease, bringing efficiency and organization to their coding experience.

AutoWebGLM is a project focused on developing a language model-driven automated web navigation agent. It extends the capabilities of the ChatGLM3-6B model to navigate the web more efficiently and address real-world browsing challenges. The project includes features such as an HTML simplification algorithm, hybrid human-AI training, reinforcement learning, rejection sampling, and a bilingual web navigation benchmark for testing AI web navigation agents.

The .NET Conf Focus on AI 2024 repository contains content from the event focusing on incorporating AI into .NET applications and services. It includes slides and demos showcasing various AI-powered web apps, AI models, generative AI apps, and more. The repository serves as a resource for developers looking to explore AI integration with .NET technologies.

The collection is actively updated with the help of an internal literature search engine.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

AI Code Reviewer is a GitHub Action that utilizes OpenAI's GPT-4 API to provide intelligent feedback and suggestions on pull requests. It helps enhance code quality and streamline the code review process by offering insightful comments and filtering out specified files. The tool is easy to set up and integrate into GitHub workflows.

Discover the hidden connection of a number.

I clean and explain data.

Calculates division remainders, emphasizing Euclidean division principles.

Database of roulette strategies with risk and probability details

AI expert in creating unique washi tape patterns.

Expert in terracotta tile designs, utilizing DALL-E 3 for visual creativity.

I match students with PhD advisors.

I find the best GPT-powered service for you

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

Find the perfect match for your design needs

Analyzes manuscripts and recommends journals.

I help you find a Show or Sporting Event on a Streaming Platform or Channel.

Finds best remote jobs at top startups

A job assistant for CS grads, managing job applications and tracking in Excel.

A specialist in recognizing flight tickets and providing terminal information.

Finds and provides RSS feed URLs for given website links.

I assist with finding businesses on Yellowpages, providing factual and updated information.

I help you find the perfect GPT model for your needs. From GPT Design, GPT Business, SEO, Content Creation or GPTs for Social Media we have you covered.

Expert in art and design.

The best studios, not the chains