Best AI tools for< Curate Data Sets >

tuul.ai is an AI application that specializes in providing custom solutions for AI marketing, AgTech, and data generation-curation. The platform offers innovative AI systems and services tailored to meet the specific needs of clients in various industries. From livestock biometric ID to AI veterinary platforms, tuul.ai leverages cutting-edge technology to deliver impactful solutions for businesses and individuals seeking to harness the power of artificial intelligence.

Pulan is a comprehensive platform designed to assist in collecting, curating, annotating, and evaluating data points for various AI initiatives. It offers services in Natural Language Processing, Data Annotation, and Computer Vision across multiple industries such as Agriculture, Medical, Life Sciences, Government, Automotive, Insurance & Finance, Logistics, Software & Internet, Manufacturing, Retail, Construction, Energy, and Food & Beverage. Pulan provides a one-stop destination for reliable data collection and curation by industry experts, with a vast inventory of millions of datasets available for licensing at a fraction of the cost of creating the data oneself.

Globose Technology Solutions Pvt Ltd (GTS) is an AI data collection company that provides various datasets such as image datasets, video datasets, text datasets, speech datasets, etc., to train machine learning models. They offer premium data collection services with a human touch, aiming to refine AI vision and propel AI forward. With over 25+ years of experience, they specialize in data management, annotation, and effective data collection techniques for AI/ML. The company focuses on unlocking high-quality data, understanding AI's transformative impact, and ensuring data accuracy as the backbone of reliable AI.

Voxel51 is an AI tool that provides open-source computer vision tools for machine learning. It offers solutions for various industries such as agriculture, aviation, driving, healthcare, manufacturing, retail, robotics, and security. Voxel51's main product, FiftyOne, helps users explore, visualize, and curate visual data to improve model performance and accelerate the development of visual AI applications. The platform is trusted by thousands of users and companies, offering both open-source and enterprise-ready solutions to manage and refine data and models for visual AI.

SuperAnnotate is an AI data platform that simplifies and accelerates model-building by unifying the AI pipeline. It enables users to create, curate, and evaluate datasets efficiently, leading to the development of better models faster. The platform offers features like connecting any data source, building customizable UIs, creating high-quality datasets, evaluating models, and deploying models seamlessly. SuperAnnotate ensures global security and privacy measures for data protection.

Appen is a leading provider of high-quality data for training AI models. The company's end-to-end platform, flexible services, and deep expertise ensure the delivery of high-quality, diverse data that is crucial for building foundation models and enterprise-ready AI applications. Appen has been providing high-quality datasets that power the world's leading AI models for decades. The company's services enable it to prepare data at scale, meeting the demands of even the most ambitious AI projects. Appen also provides enterprises with software to collect, curate, fine-tune, and monitor traditionally human-driven tasks, creating massive efficiencies through a trustworthy, traceable process.

Mool Capital is an AI-powered platform that offers elevated investing and high fidelity research capabilities. The platform provides revolutionary AI tools for analyzing vast datasets in seconds, trustworthy analysis for informed investing, and performant portfolios curated for optimal performance. Users can access the latest market analysis, investment ideas, and premium articles to enhance their investment decisions. Mool Capital aims to empower investors with AI superpowers to make better investment choices and navigate the complex world of finance with confidence.

Metamorph Labs is an AI Resources Curation Platform where the AI Community can explore Technical & Non-Technical/General AI Resources gathered from the Internet. It offers a comprehensive resource aggregation platform for the AI Community to unleash the power of AI. Users can discover a curated collection of cutting-edge AI resources consisting of both Technical & Non-technical Materials.

Snorkel AI is a data-centric AI application designed for enterprise use. It offers tools and platforms to programmatically label and curate data, accelerate AI development, and build high-quality generative AI applications. The application aims to help users develop AI models 100x faster by leveraging programmatic data operations and domain knowledge. Snorkel AI is known for its expertise in computer vision, data labeling, generative AI, and enterprise AI solutions. It provides resources, case studies, and research papers to support users in their AI development journey.

The website is a B2B research AI agent that automates manual B2B research processes by curating, refining, and enriching lead databases with AI agents. It offers features like source, curate, aggregate data points, templates, and custom AI-powered enrichment. The application helps users gather the right data, speed up research processes, and target relevant companies. It provides a range of pricing plans, compliance with ISO 9001, and a mobile application. The AI agent is used by companies like UBS, Microsoft, and Airbnb, and utilizes technologies like MongoDB, Flutter, and Next.js.

Labelbox is a data factory platform that empowers AI teams to manage data labeling, train models, and create better data with internet scale RLHF platform. It offers an all-in-one solution comprising tooling and services powered by a global community of domain experts. Labelbox operates a global data labeling infrastructure and operations for AI workloads, providing expert human network for data labeling in various domains. The platform also includes AI-assisted alignment for maximum efficiency, data curation, model training, and labeling services. Customers achieve breakthroughs with high-quality data through Labelbox.

Encord is a leading data development platform designed for computer vision and multimodal AI teams. It offers a comprehensive suite of tools to manage, clean, and curate data, streamline labeling and workflow management, and evaluate AI model performance. With features like data indexing, annotation, and active model evaluation, Encord empowers users to accelerate their AI data workflows and build robust models efficiently.

Labellerr is a data labeling software that helps AI teams prepare high-quality labels 99 times faster for Vision, NLP, and LLM models. The platform offers automated annotation, advanced analytics, and smart QA to process millions of images and thousands of hours of videos in just a few weeks. Labellerr's powerful analytics provides full control over output quality and project management, making it a valuable tool for AI labeling partners.

Granica AI is an AI data readiness platform that helps users build and manage high-quality data for AI projects at scale. The platform uses AI to continuously improve the AI-readiness of data, making projects faster and more impactful over time. Granica offers features such as data cost optimization, data privacy, data selection & curation, and more. The platform is trusted by category-defining companies for its efficiency in reducing storage costs and improving data security.

AIxBlock is an AI tool that empowers users to unleash their AI initiatives on the Blockchain. The platform offers a comprehensive suite of features for building, deploying, and monitoring AI models, including AI data engine, multimodal-powered data crawler, auto annotation, consensus-driven labeling, MLOps platform, decentralized marketplaces, and more. By harnessing the power of blockchain technology, AIxBlock provides cost-efficient solutions for AI builders, compute suppliers, and freelancers to collaborate and benefit from decentralized supercomputing, P2P transactions, and consensus mechanisms.

KhojGPT is an AI tool that serves as a store and curation platform for GPTs (Generative Pre-trained Transformers). It allows users to submit their GPTs and sign in with Google for easy access. The platform aims to provide a curated collection of GPTs for various purposes, enhancing user experience and productivity in AI-related tasks.

Encord is a complete data development platform designed for AI applications, specifically tailored for computer vision and multimodal AI teams. It offers tools to intelligently manage, clean, and curate data, streamline labeling and workflow management, and evaluate model performance. Encord aims to unlock the potential of AI for organizations by simplifying data-centric AI pipelines, enabling the building of better models and deploying high-quality production AI faster.

Elsevier is an information analytics business that supports researchers and healthcare professionals in advancing science and improving healthcare outcomes. They provide high-quality data and analytics to help researchers, librarians, and research leaders address challenges at every stage of the research journey. Elsevier offers researcher tools, research management solutions, and evaluation services to enhance productivity and research impact.

Plato is an AI-powered platform that provides data intelligence for the digital world. It offers an immersive user experience through a proprietary hashtagging algorithm optimized for search. With over 5 million users since its beta launch in April 2020, Plato organizes public and private data sources to deliver authentic and valuable insights. The platform connects users to sector-specific applications, offering real-time data intelligence in a secure environment. Plato's vertical search and AI capabilities streamline data curation and provide contextual relevancy for users across various industries.

Roboto AI is an advanced platform that allows users to curate, transform, and analyze robotics data at scale. It provides features for data management, actions, events, search capabilities, and SDK integration. The application helps users understand complex machine data through multimodal queries and custom actions, enabling efficient data processing and collaboration within teams.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

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.

The NVIDIA AI Blueprint for Vulnerability Analysis for Container Security showcases accelerated analysis on common vulnerabilities and exposures (CVE) at an enterprise scale, reducing mitigation time from days to seconds. It enables security analysts to determine software package vulnerabilities using large language models (LLMs) and retrieval-augmented generation (RAG). The blueprint is designed for security analysts, IT engineers, and AI practitioners in cybersecurity. It requires NVAIE developer license and API keys for vulnerability databases, search engines, and LLM model services. Hardware requirements include L40 GPU for pipeline operation and optional LLM NIM and Embedding NIM. The workflow involves LLM pipeline for CVE impact analysis, utilizing LLM planner, agent, and summarization nodes. The blueprint uses NVIDIA NIM microservices and Morpheus Cybersecurity AI SDK for vulnerability analysis.

Awesome ML is a curated list of resources and tools related to machine learning, covering a wide range of topics such as large language models, image models, video models, audio models, and marketing data science. It includes open LLM models, tools, GUIs, backends, voice assistants, code generation, libraries, fine tuning, data sets, research, image and video models, audio tasks like compression, speech recognition, and music generation, as well as resources for marketing data science. The repository aims to provide a comprehensive collection of resources for individuals interested in machine learning and its applications.

Awesome Responsible AI is a curated list of academic research, books, code of ethics, courses, data sets, frameworks, institutes, newsletters, principles, podcasts, reports, tools, regulations, and standards related to Responsible, Trustworthy, and Human-Centered AI. It covers various concepts such as Responsible AI, Trustworthy AI, Human-Centered AI, Responsible AI frameworks, AI Governance, and more. The repository provides a comprehensive collection of resources for individuals interested in ethical, transparent, and accountable AI development and deployment.

Awesome Generative AI is a curated list of modern Generative Artificial Intelligence projects and services. Generative AI technology creates original content like images, sounds, and texts using machine learning algorithms trained on large data sets. It can produce unique and realistic outputs such as photorealistic images, digital art, music, and writing. The repo covers a wide range of applications in art, entertainment, marketing, academia, and computer science.

Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.

The 'awesome-sound_event_detection' repository is a curated reading list focusing on sound event detection and Sound AI. It includes research papers covering various sub-areas such as learning formulation, network architecture, pooling functions, missing or noisy audio, data augmentation, representation learning, multi-task learning, few-shot learning, zero-shot learning, knowledge transfer, polyphonic sound event detection, loss functions, audio and visual tasks, audio captioning, audio retrieval, audio generation, and more. The repository provides a comprehensive collection of papers, datasets, and resources related to sound event detection and Sound AI, making it a valuable reference for researchers and practitioners in the field.

The Microsoft AI for Earth program hosts geospatial data on Azure that is important to environmental sustainability and Earth science. This repo hosts documentation and demonstration notebooks for all the data that is managed by AI for Earth. It also serves as a "staging ground" for the Planetary Computer Data Catalog.

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.

Scientific Large Language Models (Sci-LLMs) is a repository that collects papers on scientific large language models, focusing on biology and chemistry domains. It includes textual, molecular, protein, and genomic languages, as well as multimodal language. The repository covers various large language models for tasks such as molecule property prediction, interaction prediction, protein sequence representation, protein sequence generation/design, DNA-protein interaction prediction, and RNA prediction. It also provides datasets and benchmarks for evaluating these models. The repository aims to facilitate research and development in the field of scientific language modeling.

L3AGI is an open-source tool that enables AI Assistants to collaborate together as effectively as human teams. It provides a robust set of functionalities that empower users to design, supervise, and execute both autonomous AI Assistants and Teams of Assistants. Key features include the ability to create and manage Teams of AI Assistants, design and oversee standalone AI Assistants, equip AI Assistants with the ability to retain and recall information, connect AI Assistants to an array of data sources for efficient information retrieval and processing, and employ curated sets of tools for specific tasks. L3AGI also offers a user-friendly interface, APIs for integration with other systems, and a vibrant community for support and collaboration.

The 'awesome-ai4db-paper' repository is a curated paper list focusing on AI for database (AI4DB) theory, frameworks, resources, and tools for data engineers. It includes a collection of research papers related to learning-based query optimization, training data set preparation, cardinality estimation, query-driven approaches, data-driven techniques, hybrid methods, pretraining models, plan hints, cost models, SQL embedding, join order optimization, query rewriting, end-to-end systems, text-to-SQL conversion, traditional database technologies, storage solutions, learning-based index design, and a learning-based configuration advisor. The repository aims to provide a comprehensive resource for individuals interested in AI applications in the field of database management.

A public repository collecting links to state-of-the-art training sets, QA, benchmarks and other evaluations for various ML and LLM applications in materials science and chemistry. It includes datasets related to chemistry, materials, multimodal data, and knowledge graphs in the field. The repository aims to provide resources for training and evaluating machine learning models in the materials science and chemistry domains.

This project provides Rust code that follows the text 'Build An LLM From Scratch' by Sebastian Raschka. It translates PyTorch code into Rust using the Candle crate, aiming to build a GPT-style LLM. Users can clone the repo, run examples/exercises, and access the same datasets as in the book. The project includes chapters on understanding large language models, working with text data, coding attention mechanisms, implementing a GPT model, pretraining unlabeled data, fine-tuning for classification, and fine-tuning to follow instructions.

AI and Data Science news curator providing latest updates and insights.

companies, trends, tech and data

Searches Mastodon for accounts matching a user's interests.

In-depth analysis of historical events

Curates concise country data, suggests further inquiries.

Receive trusted and up-to-date information on the metaverse and spatial computing, sourced from a curated database by Tom Ffiske. Updated weekly with the latest data, and current in Beta.

Curates AI news with summaries

The Public APIs Explorer GPT is a specialized chatbot providing curated, user-friendly information and guidance on a wide range of public APIs for developers and tech enthusiasts.

The most advanced API finder, available for over 2000 manually curated tasks. Chat with me to find the best AI tools for any use case.

I curate and comment on the latest tech news with strategic insights.

I curate and report top local news, ensuring accuracy and relevance.

Expert in GRE/GMAT with up-to-date strategies, tricks, answers and explanations to questions. Identifies strengths and weaknesses to curate a tailored study plan. Upload materials or questions for immediate answers and explanations.

Your go-to tool for curating newsletter Snippets on creator trends, tech news, tools updates, and internet culture.

Concise, elite art critic for NFTs.

Content Curation Done Using ChatGPT

Specialist in art and gallery management, aiding in curation and organization.

I'm a pretentious art critic showcasing MetalisaNFT's art.

I find positive news stories for you.

Focused on images and their descriptions in news contexts.