Best AI tools for< Share Results >
10 - AI tool Sites
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HotCheck
HotCheck is a fun and interactive website that allows users to discover their hotness rating by uploading a photo of themselves. In addition to providing feedback on your appearance, the tool also offers other fun information about the uploaded picture. With the recent addition of the Style Factor feature, users can now get even more insights into their overall allure. HotCheck is designed to be a lighthearted and entertaining platform for users to engage with and share their results with others.
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HotCheck
HotCheck is a web application that allows users to discover their hotness rating by uploading a photo of themselves. In addition to providing a hotness rating, the app also offers other fun information about the uploaded picture. Users can easily share their results on social media platforms like WhatsApp and Twitter. HotCheck aims to be a fun and entertaining way for users to gauge their allure based on a single photo.
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AI Wordle
This website offers a game where users can play Wordle against an AI. The goal of the game is to guess a 5-letter word in six tries or less. The AI uses Chat GPT to try to guess the word in as few tries as possible. Users can also view a scoreboard to see how they compare to other players.
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Neptune
Neptune is an MLOps stack component for experiment tracking. It allows users to track, compare, and share their models in one place. Neptune is used by scaling ML teams to skip days of debugging disorganized models, avoid long and messy model handovers, and start logging for free.
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DagsHub
DagsHub is an open source data science collaboration platform that helps AI teams build better models and manage data projects. It provides a central location for data, code, experiments, and models, making it easy for teams to collaborate and track their progress. DagsHub also integrates with a variety of popular data science tools and frameworks, making it a powerful tool for data scientists and machine learning engineers.
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Aim
Aim is an open-source, self-hosted AI Metadata tracking tool designed to handle 100,000s of tracked metadata sequences. Two most famous AI metadata applications are: experiment tracking and prompt engineering. Aim provides a performant and beautiful UI for exploring and comparing training runs, prompt sessions.
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PhotoRater
PhotoRater is an AI-powered photo rating application that allows users to upload their photos and receive an AI-driven analysis of their appearance. The AI evaluates various aspects such as dressing, hairstyle, and facial expressions, providing suggestions for improvement. Users can get personalized feedback to enhance their looks for any occasion, whether it's for a special event, professional image enhancement, or simply to look their best. PhotoRater prioritizes user privacy and security, ensuring that all data is securely processed within the user's browser.
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Yoursearch.ai
Yoursearch.ai is an AI-powered search engine web application that aims to revolutionize internet research by providing users with better search results without any advertising. With features like a new Messenger service, summarized and relevant search results, and the ability to share findings with family and friends, Yoursearch.ai offers a user-friendly and efficient search experience. The application also emphasizes user control and personalization, allowing users to get only the most relevant information. Yoursearch.ai is committed to protecting minors and offers a service for age verification on websites with adult content. Overall, Yoursearch.ai is a smart search tool that leverages artificial intelligence to enhance productivity and knowledge discovery.
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Conrad AI
Conrad AI is an AI tool inspired by the fictional app Conrad (short for 'Consequences Eradicator') from an episode of The Simpsons. It predicts the consequences of social media posts and warns users about them. The tool uses a language model to forecast potential outcomes of tweets or posts, aiming to help users make informed decisions about their online content. Created as a semi-serious application, Conrad AI fills the gap left by the absence of a real-world implementation of the original idea. Users can share their results using #ConradAI.
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Doppelganger Finder
The website offers a fun and interactive tool that uses advanced AI to match users' facial features to popular characters from movies, TV shows, and games. Users can upload their photo, find their look-alike character, and even swap their face with the character's. The tool provides a unique way for users to discover characters they resemble and create shareable content for social media.
20 - Open Source AI Tools
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neptune-client
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.
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promptfoo
Promptfoo is a tool for testing and evaluating LLM output quality. With promptfoo, you can build reliable prompts, models, and RAGs with benchmarks specific to your use-case, speed up evaluations with caching, concurrency, and live reloading, score outputs automatically by defining metrics, use as a CLI, library, or in CI/CD, and use OpenAI, Anthropic, Azure, Google, HuggingFace, open-source models like Llama, or integrate custom API providers for any LLM API.
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Wandb.jl
Unofficial Julia Bindings for wandb.ai. Wandb is a platform for tracking and visualizing machine learning experiments. It provides a simple and consistent way to log metrics, parameters, and other data from your experiments, and to visualize them in a variety of ways. Wandb.jl provides a convenient way to use Wandb from Julia.
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morphic
Morphic is an AI-powered answer engine with a generative UI. It utilizes a stack of Next.js, Vercel AI SDK, OpenAI, Tavily AI, shadcn/ui, Radix UI, and Tailwind CSS. To get started, fork and clone the repo, install dependencies, fill out secrets in the .env.local file, and run the app locally using 'bun dev'. You can also deploy your own live version of Morphic with Vercel. Verified models that can be specified to writers include Groq, LLaMA3 8b, and LLaMA3 70b.
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llmgraph
llmgraph is a tool that enables users to create knowledge graphs in GraphML, GEXF, and HTML formats by extracting world knowledge from large language models (LLMs) like ChatGPT. It supports various entity types and relationships, offers cache support for efficient graph growth, and provides insights into LLM costs. Users can customize the model used and interact with different LLM providers. The tool allows users to generate interactive graphs based on a specified entity type and Wikipedia link, making it a valuable resource for knowledge graph creation and exploration.
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CodeAsk
CodeAsk is a code analysis tool designed to tackle complex issues such as code that seems to self-replicate, cryptic comments left by predecessors, messy and unclear code, and long-lasting temporary solutions. It offers intelligent code organization and analysis, security vulnerability detection, code quality assessment, and other interesting prompts to help users understand and work with legacy code more efficiently. The tool aims to translate 'legacy code mountains' into understandable language, creating an illusion of comprehension and facilitating knowledge transfer to new team members.
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mlflow
MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud). MLflow's current components are:
* `MLflow Tracking
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Qmedia
QMedia is an open-source multimedia AI content search engine designed specifically for content creators. It provides rich information extraction methods for text, image, and short video content. The tool integrates unstructured text, image, and short video information to build a multimodal RAG content Q&A system. Users can efficiently search for image/text and short video materials, analyze content, provide content sources, and generate customized search results based on user interests and needs. QMedia supports local deployment for offline content search and Q&A for private data. The tool offers features like content cards display, multimodal content RAG search, and pure local multimodal models deployment. Users can deploy different types of models locally, manage language models, feature embedding models, image models, and video models. QMedia aims to spark new ideas for content creation and share AI content creation concepts in an open-source manner.
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sql-explorer
SQL Explorer is a Django-based application that simplifies the flow of data between users by providing a user-friendly SQL editor to write and share queries. It supports multiple database connections, AI-powered SQL assistant, schema information access, query snapshots, in-browser statistics, parameterized queries, ad-hoc query running, email query results, and more. Users can upload and query JSON or CSV files, and the tool can connect to various SQL databases supported by Django. It aims for simplicity, stability, and ease of use, offering features like autocomplete, pivot tables, and query history logs.
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vivaria
Vivaria is a web application tool designed for running evaluations and conducting agent elicitation research. Users can interact with Vivaria using a web UI and a command-line interface. It allows users to start task environments based on METR Task Standard definitions, run AI agents, perform agent elicitation research, view API requests and responses, add tags and comments to runs, store results in a PostgreSQL database, sync data to Airtable, test prompts against LLMs, and authenticate using Auth0.
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Torch-Pruning
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.
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DeepBI
DeepBI is an AI-native data analysis platform that leverages the power of large language models to explore, query, visualize, and share data from any data source. Users can use DeepBI to gain data insight and make data-driven decisions.
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dvc
DVC, or Data Version Control, is a command-line tool and VS Code extension that helps you develop reproducible machine learning projects. With DVC, you can version your data and models, iterate fast with lightweight pipelines, track experiments in your local Git repo, compare any data, code, parameters, model, or performance plots, and share experiments and automatically reproduce anyone's experiment.
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llm4regression
This project explores the capability of Large Language Models (LLMs) to perform regression tasks using in-context examples. It compares the performance of LLMs like GPT-4 and Claude 3 Opus with traditional supervised methods such as Linear Regression and Gradient Boosting. The project provides preprints and results demonstrating the strong performance of LLMs in regression tasks. It includes datasets, models used, and experiments on adaptation and contamination. The code and data for the experiments are available for interaction and analysis.
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Code-Interpreter-Api
Code Interpreter API is a project that combines a scheduling center with a sandbox environment, dedicated to creating the world's best code interpreter. It aims to provide a secure, reliable API interface for remotely running code and obtaining execution results, accelerating the development of various AI agents, and being a boon to many AI enthusiasts. The project innovatively combines Docker container technology to achieve secure isolation and execution of Python code. Additionally, the project supports storing generated image data in a PostgreSQL database and accessing it through API endpoints, providing rich data processing and storage capabilities.
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swirl-search
Swirl is an open-source software that allows users to simultaneously search multiple content sources and receive AI-ranked results. It connects to various data sources, including databases, public data services, and enterprise sources, and utilizes AI and LLMs to generate insights and answers based on the user's data. Swirl is easy to use, requiring only the download of a YML file, starting in Docker, and searching with Swirl. Users can add credentials to preloaded SearchProviders to access more sources. Swirl also offers integration with ChatGPT as a configured AI model. It adapts and distributes user queries to anything with a search API, re-ranking the unified results using Large Language Models without extracting or indexing anything. Swirl includes five Google Programmable Search Engines (PSEs) to get users up and running quickly. Key features of Swirl include Microsoft 365 integration, SearchProvider configurations, query adaptation, synchronous or asynchronous search federation, optional subscribe feature, pipelining of Processor stages, results stored in SQLite3 or PostgreSQL, built-in Query Transformation support, matching on word stems and handling of stopwords, duplicate detection, re-ranking of unified results using Cosine Vector Similarity, result mixers, page through all results requested, sample data sets, optional spell correction, optional search/result expiration service, easily extensible Connector and Mixer objects, and a welcoming community for collaboration and support.
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spellbook-docker
The Spellbook Docker Compose repository contains the Docker Compose files for running the Spellbook AI Assistant stack. It requires ExLlama and a Nvidia Ampere or better GPU for real-time results. The repository provides instructions for installing Docker, building and starting containers with or without GPU, additional workers, Nvidia driver installation, port forwarding, and fresh installation steps. Users can follow the detailed guidelines to set up the Spellbook framework on Ubuntu 22, enabling them to run the UI, middleware, and additional workers for resource access.
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FunClip
FunClip is an open-source, locally deployable automated video editing tool that utilizes the FunASR Paraformer series models from Alibaba DAMO Academy for speech recognition in videos. Users can select text segments or speakers from the recognition results and click the clip button to obtain the corresponding video segments. FunClip integrates advanced features such as the Paraformer-Large model for accurate Chinese ASR, SeACo-Paraformer for customized hotword recognition, CAM++ speaker recognition model, Gradio interactive interface for easy usage, support for multiple free edits with automatic SRT subtitles generation, and segment-specific SRT subtitles.
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FunClip
FunClip is an open-source, locally deployed automated video clipping tool that leverages Alibaba TONGYI speech lab's FunASR Paraformer series models for speech recognition on videos. Users can select text segments or speakers from recognition results to obtain corresponding video clips. It integrates industrial-grade models for accurate predictions and offers hotword customization and speaker recognition features. The tool is user-friendly with Gradio interaction, supporting multi-segment clipping and providing full video and target segment subtitles. FunClip is suitable for users looking to automate video clipping tasks with advanced AI capabilities.
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crewAI
CrewAI is a cutting-edge framework designed to orchestrate role-playing autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks. It enables AI agents to assume roles, share goals, and operate in a cohesive unit, much like a well-oiled crew. Whether you're building a smart assistant platform, an automated customer service ensemble, or a multi-agent research team, CrewAI provides the backbone for sophisticated multi-agent interactions. With features like role-based agent design, autonomous inter-agent delegation, flexible task management, and support for various LLMs, CrewAI offers a dynamic and adaptable solution for both development and production workflows.
20 - OpenAI Gpts
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Earnings Analyzer
I assist you in understanding the details of a company's financial results based on provided earnings data. If you have an earnings report you'd like me to analyze, feel free to share it, and I'll provide detailed insights and interpretations!
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LI Article Share
Writes LI posts from article links you share, and you give tone and style for personalization, Then copy and paste to LI social profile, or via sharing tool
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Cloudy with a Chance of Creation
Share a shape and 3 colours and I will generate a beautiful generative art.
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Past Year Highlights
I share well-documented global news events from the same date last year, in a friendly, professional tone.
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Geo Explorer
I'm a geography enthusiast eager to share fun and interesting facts about our world!
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Proposal Agent
Hello! Could you share some details about the proposal you're working on? I'll then assist further in crafting your proposal.