Best AI tools for< Identify Dependencies >

Inkdrop is an AI-powered tool that helps users visualize their cloud infrastructure by automatically generating interactive diagrams of cloud resources and dependencies. It provides a comprehensive overview of the infrastructure to speed up onboarding and understand complex resource relationships for effective troubleshooting. With seamless integration, users can effortlessly update documentation via CI pipeline integration. Meet the founders Antoine Descamps, Cofounder and CEO, and Alberto Schillaci, Cofounder and CTO. Inkdrop is trusted by partners who believe in its mission.

Vilosia is an AI-powered platform that helps medium and large enterprises with internal development teams to visualize their software architecture, simplify migration, and improve system modularity. The platform uses Gen AI to automatically add event triggers to the codebase, enabling users to understand data flow, system dependencies, domain boundaries, and external APIs. Vilosia also offers AI workflow analysis to extract workflows from function call chains and identify database usage. Users can scan their codebase using CLI client & CI/CD integration and stay updated with new features through the newsletter.

Bugpilot is an error monitoring tool specifically designed for React applications. It offers a comprehensive platform for error tracking, debugging, and user communication. With Bugpilot, developers can easily integrate error tracking into their React applications without any code changes or dependencies. The tool provides a user-friendly dashboard that helps developers quickly identify and prioritize errors, understand their root causes, and plan fixes. Bugpilot also includes features such as AI-assisted debugging, session recordings, and customizable error pages to enhance the user experience and reduce support requests.

Pl@ntNet is a citizen science project available as an application that helps you identify plants from your photos. It is a collaborative project that brings together scientists, naturalists, and citizens from all over the world to collect and share data on plant diversity. The app uses artificial intelligence to identify plants from photos, and the data collected is used to create a global database of plant diversity. Pl@ntNet is free to use and is available in over 20 languages.

Retorio is a cutting-edge Behavioral Intelligence (BI) Platform that fuses machine learning with scientific findings from psychology and organizational research to ultimately take learning and development to a new level within organizations. At the core of Retorio’s capabilities are its AI-powered immersive video simulations. Through these engaging role-plays, learners using Retorio get to train and develop the necessary skills through realistic scenarios. Furthermore, the personalized, on-demand feedback learners receive allows for immediate behavior change and performance improvement. Retorio’s training platform transcends the limitation of scalability and redefines how individuals and teams train and develop, bringing talent development to a new dimension.

Siwalu is an AI-based image recognition tool that specializes in identifying animals. The website offers apps that provide specific information about the characteristics and traits of pets, helping pet owners determine the breed of their pets quickly and accurately. By using advanced AI technology, Siwalu aims to increase knowledge about global biodiversity by focusing on animal recognition for dogs, cats, and horses. The apps have garnered millions of downloads and are praised for their accuracy and user-friendly interface.

Signum.AI is a sales intelligence platform that uses artificial intelligence (AI) to help businesses identify customers who are ready to buy. The platform tracks key customer behaviors, such as social media engagement, job changes, product launches, and keyword mentions, to identify the best time to reach out to them. Signum.AI also provides personalized recommendations on how to approach each customer, based on their individual needs and interests.

Dog Identifier is an AI-based application that helps users identify over 170+ dog breeds by simply providing an image or video of a dog. The app predicts the breed of the dog and provides detailed information about characteristics, temperament, and history of the breed. Users can also search for their ideal furry companion by answering a few lifestyle-related questions. Additionally, the app features a comprehensive database of dog breeds, daily fun facts, and a new Dog Mood Detection feature that analyzes a dog's facial expressions and body language to suggest their mood.

Spot a Bot is an AI tool that estimates the number of bot accounts on Twitter by analyzing Twitter trends. Due to recent changes in Twitter's API policy, the tool is unable to provide daily trend analyses at the moment. Users can check today's trends, look for past trends, and choose trends from the UK, USA, or Germany. The tool boasts a model accuracy of 11% and has analyzed a total of 3,871 accounts and 158,540 tweets. Spot a Bot aims to help users identify and understand the prevalence of bot accounts on Twitter.

NeuProScan is an AI platform designed for the early detection of pre-clinical Alzheimer's from MRI scans. It utilizes AI technology to predict the likelihood of developing Alzheimer's years in advance, helping doctors improve diagnosis accuracy and optimize the use of costly PET scans. The platform is fully customizable, user-friendly, and can be run on devices or in the cloud. NeuProScan aims to provide patients and healthcare systems with valuable insights for better planning and decision-making.

Hire Hoc is an AI-powered hiring tool that helps businesses identify and interview only the top applicants. With features like AI shortlisting, one-way video interviews, and interview scheduling, Hire Hoc can help you streamline your hiring process and make better hiring decisions.

watchID is an AI-powered tool that allows users to identify any watch instantly by simply snapping a photo. It leverages the largest watch database to provide comprehensive information about the watch, including its story, reference number, and where to acquire it. watchID also offers a marketplace where users can browse and purchase watches from various sellers. Additionally, it fosters a community of watch enthusiasts where users can share discoveries, get insights, and connect with fellow enthusiasts.

Bichos ID de Fucesa is an AI tool that allows users to explore and identify insects, arachnids, and other arthropods using artificial intelligence. Users can discover the most searched bugs, explore new discoveries made by the community, and view curated organisms. The platform aims to expand knowledge about the fascinating world of arthropods through AI-powered identification.

CvSorter is an AI-powered CV and resume screening tool that streamlines the hiring process by automating screening, improving accuracy, and saving time. It allows users to upload job descriptions and candidate CVs to identify top talent efficiently. With customizable criteria and detailed reporting, CvSorter enhances recruitment workflow by focusing on identifying the best candidates quickly and accurately.

LogRocket is a session replay, product analytics, and issue detection platform that helps software teams deliver the best web and mobile experiences. With LogRocket, you can see exactly what users experienced on your app, as well as DOM playback, console and network logs, errors, and performance data. You can also surface the most impactful user issues with JavaScript errors, network errors, stack traces, automatic triaging, and alerting. LogRocket also provides product analytics to help you understand how users are interacting with your app, and UX analytics to help you visualize how users experience your app at both the individual and aggregate level.

Google Lens is an AI-powered visual search tool developed by Google that allows users to search, shop, translate, and identify objects using their camera or images. With Google Lens, users can find similar clothes, furniture, and home decor, translate text in real-time from over 100 languages, get step-by-step homework help for various subjects, and identify plants and animals. The application is available on all devices and in various Google apps, making it convenient for users to access its features anytime, anywhere.

The website is an AI tool called Google Lens that allows users to search, discover, and explore the world around them using AI-powered technology. Users can identify plants, search for information, shop, translate text, find songs, and more by simply using their camera or voice. Google Lens provides detailed overviews, helps with homework, and offers a unique way to interact with the environment through augmented reality. With 25 years of search history, Google Lens continues to innovate and inspire users worldwide.

Song Identifier is an AI tool that helps users find a song by entering words from the lyrics. The tool utilizes AI technology to match the input lyrics with a vast database of songs, providing users with accurate results. Created with love by Pablo, Song Identifier aims to assist users in identifying songs stuck in their heads quickly and effortlessly.

Medgic is an advanced AI tool designed to scan, analyze, and detect skin problems using powerful AI technology. Users can simply take a photo of their skin condition, and Medgic provides results along with friendly advice. The AI robot aims to reimagine medicine by continuously learning and evolving to contribute towards solving global healthcare challenges. It is available for free on all devices and offers general information for educational purposes only, not as a replacement for physician consultation.

ACHIV is an AI tool for ideas validation and market research. It helps businesses make informed decisions based on real market needs by providing data-driven insights. The tool streamlines the market validation process, allowing quick adaptation and refinement of product development strategies. ACHIV offers a revolutionary approach to data collection and preprocessing, along with proprietary AI models for smart analysis and predictive forecasting. It is designed to assist entrepreneurs in understanding market gaps, exploring competitors, and enhancing investment decisions with real-time data.

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.

Pluto is a development tool dedicated to helping developers **build cloud and AI applications more conveniently** , resolving issues such as the challenging deployment of AI applications and open-source models. Developers are able to write applications in familiar programming languages like **Python and TypeScript** , **directly defining and utilizing the cloud resources necessary for the application within their code base** , such as AWS SageMaker, DynamoDB, and more. Pluto automatically deduces the infrastructure resource needs of the app through **static program analysis** and proceeds to create these resources on the specified cloud platform, **simplifying the resources creation and application deployment process**.

OpenGlass is an open-source project that allows users to transform any regular glasses into smart glasses using affordable off-the-shelf components. With a cost of less than $25, users can enhance their glasses to record their daily activities, recognize people, identify objects, translate text, and more. The project provides detailed instructions on hardware setup and software installation, making it accessible for DIY enthusiasts and tech enthusiasts alike. By following the steps outlined in the repository, users can create their own smart glasses and explore various functionalities offered by the project.

aider.el is an AI pair programming tool for Emacs that provides an interactive interface to communicate with Aider. It offers features such as pop-up menu for commands, Git repository-specific sessions, batch file adding from dired buffer, region-based refactor support, and the ability to add custom Elisp functions. Users can install aider.el and dependencies to enhance their pair programming experience within Emacs.

FastTrackML is an experiment tracking server focused on speed and scalability, fully compatible with MLFlow. It provides a user-friendly interface to track and visualize your machine learning experiments, making it easy to compare different models and identify the best performing ones. FastTrackML is open source and can be easily installed and run with pip or Docker. It is also compatible with the MLFlow Python package, making it easy to integrate with your existing MLFlow workflows.

Zshot is a highly customizable framework for performing Zero and Few shot named entity and relationships recognition. It can be used for mentions extraction, wikification, zero and few shot named entity recognition, zero and few shot named relationship recognition, and visualization of zero-shot NER and RE extraction. The framework consists of two main components: the mentions extractor and the linker. There are multiple mentions extractors and linkers available, each serving a specific purpose. Zshot also includes a relations extractor and a knowledge extractor for extracting relations among entities and performing entity classification. The tool requires Python 3.6+ and dependencies like spacy, torch, transformers, evaluate, and datasets for evaluation over datasets like OntoNotes. Optional dependencies include flair and blink for additional functionalities. Zshot provides examples, tutorials, and evaluation methods to assess the performance of the components.

Aiogram & Django API Template is a robust and secure Django template with advanced features like Docker integration, Celery for asynchronous tasks, Sentry for error tracking, Django Rest Framework for building APIs, and more. It provides scalability options, up-to-date dependencies, and integration with AWS S3 for storage. The template includes configuration guides for secrets, ports, performance tuning, application settings, CORS and CSRF settings, and database configuration. Security, scalability, and monitoring are emphasized for efficient Django API development.

Momentum is an open-source behavioral auditor for backend code that helps developers generate powerful insights into their codebase. It analyzes code behavior, tests it at every git push, and ensures readiness for production. Momentum understands backend code, visualizes dependencies, identifies behaviors, generates test code, runs code in the local environment, and provides debugging solutions. It aims to improve code quality, streamline testing processes, and enhance developer productivity.

Moonshot is a simple and modular tool developed by the AI Verify Foundation to evaluate Language Model Models (LLMs) and LLM applications. It brings Benchmarking and Red-Teaming together to assist AI developers, compliance teams, and AI system owners in assessing LLM performance. Moonshot can be accessed through various interfaces including User-friendly Web UI, Interactive Command Line Interface, and seamless integration into MLOps workflows via Library APIs or Web APIs. It offers features like benchmarking LLMs from popular model providers, running relevant tests, creating custom cookbooks and recipes, and automating Red Teaming to identify vulnerabilities in AI systems.

Mutahunter is an open-source language-agnostic mutation testing tool maintained by CodeIntegrity. It leverages LLM models to inject context-aware faults into codebase, ensuring comprehensive testing. The tool aims to empower companies and developers to enhance test suites and improve software quality by verifying the effectiveness of test cases through creating mutants in the code and checking if the test cases can catch these changes. Mutahunter provides detailed reports on mutation coverage, killed mutants, and survived mutants, enabling users to identify potential weaknesses in their test suites.

Dravid (DRD) is an advanced, AI-powered CLI coding framework designed to follow user instructions until the job is completed, including fixing errors. It can generate code, fix errors, handle image queries, manage file operations, integrate with external APIs, and provide a development server with error handling. Dravid is extensible and requires Python 3.7+ and CLAUDE_API_KEY. Users can interact with Dravid through CLI commands for various tasks like creating projects, asking questions, generating content, handling metadata, and file-specific queries. It supports use cases like Next.js project development, working with existing projects, exploring new languages, Ruby on Rails project development, and Python project development. Dravid's project structure includes directories for source code, CLI modules, API interaction, utility functions, AI prompt templates, metadata management, and tests. Contributions are welcome, and development setup involves cloning the repository, installing dependencies with Poetry, setting up environment variables, and using Dravid for project enhancements.

Bugbug is a tool developed by Mozilla that leverages machine learning techniques to assist with bug and quality management, as well as other software engineering tasks like test selection and defect prediction. It provides various classifiers to suggest assignees, detect patches likely to be backed-out, classify bugs, assign product/components, distinguish between bugs and feature requests, detect bugs needing documentation, identify invalid issues, verify bugs needing QA, detect regressions, select relevant tests, track bugs, and more. Bugbug can be trained and tested using Python scripts, and it offers the ability to run model training tasks on Taskcluster. The project structure includes modules for data mining, bug/commit feature extraction, model implementations, NLP utilities, label handling, bug history playback, and GitHub issue retrieval.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

Lingo is an interactive platform for language learning that provides a modern UI/UX experience. It offers features like courses, quests, and a shop for users to engage with. The tech stack includes React JS, Next JS, Typescript, Tailwind CSS, Vercel, and Postgresql. Users can contribute to the project by submitting changes via pull requests. The platform utilizes resources from CodeWithAntonio, Kenney Assets, Freesound, Elevenlabs AI, and Flagpack. Key dependencies include @clerk/nextjs, @neondatabase/serverless, @radix-ui/react-avatar, and more. Users can follow the project creator on GitHub and Twitter, as well as subscribe to their YouTube channel for updates. To learn more about Next.js, users can refer to the Next.js documentation and interactive tutorial.

Holloway's Upscaler is a consolidation of various compiled open-source AI image/video upscaling products for a CLI-friendly image and video upscaling program. It provides low-cost AI upscaling software that can run locally on a laptop, programmable for albums and videos, reliable for large video files, and works without GUI overheads. The repository supports hardware testing on various systems and provides important notes on GPU compatibility, video types, and image decoding bugs. Dependencies include ffmpeg and ffprobe for video processing. The user manual covers installation, setup pathing, calling for help, upscaling images and videos, and contributing back to the project. Benchmarks are provided for performance evaluation on different hardware setups.

Flyte is an open-source orchestrator that facilitates building production-grade data and ML pipelines. It is built for scalability and reproducibility, leveraging Kubernetes as its underlying platform. With Flyte, user teams can construct pipelines using the Python SDK, and seamlessly deploy them on both cloud and on-premises environments, enabling distributed processing and efficient resource utilization.

PatchWork is an open-source framework designed for automating development tasks using large language models. It enables users to automate workflows such as PR reviews, bug fixing, security patching, and more through a self-hosted CLI agent and preferred LLMs. The framework consists of reusable atomic actions called Steps, customizable LLM prompts known as Prompt Templates, and LLM-assisted automations called Patchflows. Users can run Patchflows locally in their CLI/IDE or as part of CI/CD pipelines. PatchWork offers predefined patchflows like AutoFix, PRReview, GenerateREADME, DependencyUpgrade, and ResolveIssue, with the flexibility to create custom patchflows. Prompt templates are used to pass queries to LLMs and can be customized. Contributions to new patchflows, steps, and the core framework are encouraged, with chat assistants available to aid in the process. The roadmap includes expanding the patchflow library, introducing a debugger and validation module, supporting large-scale code embeddings, parallelization, fine-tuned models, and an open-source GUI. PatchWork is licensed under AGPL-3.0 terms, while custom patchflows and steps can be shared using the Apache-2.0 licensed patchwork template repository.

Langroid-examples is a repository containing examples of using the Langroid Multi-Agent Programming framework to build LLM applications. It provides a collection of scripts and instructions for setting up the environment, working with local LLMs, using OpenAI LLMs, and running various examples. The repository also includes optional setup instructions for integrating with Qdrant, Redis, Momento, GitHub, and Google Custom Search API. Users can explore different scenarios and functionalities of Langroid through the provided examples and documentation.

What are the specific tasks? / 具体的なタスクを教えてください。

Just send us an image of a scene from a video work and i will guess the name of the work!

Identify and explain mental models for various scenarios.

Analyzes images to identify landmarks and shares historical insights and captivating facts.

Identify and cherish your vintage

Food diary to help you identify food intolerance

Identify and clarify personal values to cultivate a strong sense of purpose and self-confidence

Identify key claims and sniff past the BS with your personal AI Logic Checker and Fallacy Expert.

I confidently identify plants from photos, diagnose issues, and offer advice.

Enables sales & marketing leadership to identify high-value AI use cases

I identify various rocks from images and advise consulting a geologist for certainty.

This interactive inquiry will help identify your relationship attachment style.

Identify your sources of fear and anger and convert those emotions into concrete next steps. Tested and approved by the real Matt Mochary!

Identify the best SaaS sales organizations. Click on the prompt to receive a full report that includes: G2, Glassdoor, and Repvue reviews.

AI Detector GPT is powered by Winston AI and created to help identify AI generated content. It is designed to help you detect use of AI Writing Chatbots such as ChatGPT, Claude and Bard and maintain integrity in academia and publishing. Winston AI is the most trusted AI content detector.

Plagiarism Checker GPT is powered by Winston AI and created to help identify plagiarized content. It is designed to help you detect instances of plagiarism and maintain integrity in academia and publishing. Winston AI is the most trusted AI and Plagiarism Checker.

Identify and Confirm Interior Signage Code Details & Requirements. Federal, California ADA Signage Codes (NY Coming Soon)

I identify fonts, offer both free and premium options, and match user's tone.

I identify flaws in debates and outline reasoning errors.

I identify clothes in photos and find where to buy them online.