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Software Documentation Tools
Software documentation tools are designed to help developers and technical writers create, manage, and share documentation related to software applications. These tools facilitate the writing of user guides, API references, installation instructions, and other types of technical content. They often include features like version control, templates, collaborative editing, and integration with code repositories to streamline the documentation process. Some popular tools offer support for various output formats, such as HTML, PDF, and Markdown, making it easier to distribute documentation to different audiences. By using these tools, teams can ensure that their documentation remains accurate, up-to-date, and accessible throughout the software development lifecycle.
Document Management Software
Document management software is a type of software that helps organizations manage their documents. It allows users to store, index, retrieve and manipulate digital files, as well as organize them in ways that make sense for the organization. Document management software can help an organization keep track of versions and revisions, ensuring the most up-to-date documents are being used. Different document management systems offer different features, so it is important to research which one will best suit the needs of the organization.
Document Generation Software
Document generation software automates the creation of documents, typically by merging data from various sources into predefined templates. It is commonly used to generate reports, contracts, invoices, or proposals with minimal manual effort. The software enables users to define document structures, integrate dynamic fields, and ensure consistent formatting across multiple documents. With features like batch processing and integration with databases or CRM systems, document generation tools can handle large volumes of documents efficiently. This automation reduces errors, speeds up workflows, and ensures that generated documents meet organizational standards.
Document Control Software
Document control software is designed to manage and track documents throughout their lifecycle, ensuring that they are properly stored, organized, and accessible. It provides features like version control, audit trails, and access permissions to maintain document integrity and security. This software helps organizations maintain compliance with industry standards and regulations by ensuring documents are updated and reviewed in a controlled manner. It also facilitates the efficient sharing and retrieval of documents, reducing the risk of errors or outdated information being used. By centralizing document management, document control software streamlines workflows and improves collaboration while minimizing risks associated with document mismanagement.
Document Collaboration Software
Document collaboration software allows multiple users to work on the same document simultaneously, facilitating real-time editing, commenting, and version control. It is designed to enhance teamwork by providing features like access control, activity tracking, and notifications to keep all contributors aligned. These tools often include cloud storage for easy sharing and retrieval, ensuring that documents are accessible from anywhere. Integration with other productivity tools is common, streamlining workflows and improving overall efficiency. By enabling efficient collaboration, document collaboration software improves communication and coordination within teams.
Document Collection Software
Document collection software enables organizations to collect documents from customers and clients. Document collection software streamlines and manages the process of collecting documents.
Document Scanner Software
Document scanner apps are software applications that enable users to scan documents using a device such as a smartphone, tablet, or computer. Document scanning software and apps can scan documents and save them as various file types. Some document scanners come equipped with optical character recognition (OCR) functionality and/or AI that allows for natural language understanding and intelligent document processing and indexing.
Legal Document Management Software
Legal document management software is software that helps law firms, corporate legal departments, and legal professionals organize, store, and manage legal documents efficiently. It provides features such as secure cloud storage, version control, access permissions, and document indexing to streamline legal workflows. Advanced solutions often include OCR (Optical Character Recognition) for searchable PDFs, integration with case management systems, and automation for contract lifecycle management. Compliance and security features ensure adherence to legal regulations like GDPR, HIPAA, or industry-specific guidelines. By reducing manual paperwork and improving collaboration, legal document management software enhances productivity and minimizes risks associated with document handling.
Document Version Control Software
Document version control software is designed to track and manage changes made to documents over time, ensuring that all revisions are properly recorded and organized. It allows users to store multiple versions of a document, making it easy to view, compare, and restore previous versions if needed. The software typically includes features like automated version tracking, timestamps, and user identification to provide a clear history of document edits. By managing versions efficiently, it helps prevent conflicts or errors from outdated or conflicting document versions. This type of software is essential for maintaining accuracy, transparency, and collaboration, especially in environments with frequent document updates and multiple contributors.
IT Documentation Software
IT documentation software is software that enables organizations to create, manage, and organize technical documentation related to their IT systems and infrastructure. It enables users to document processes, configurations, troubleshooting steps, and other essential IT information in a centralized and easily accessible platform. The software often includes collaboration features, version control, and search functionalities to ensure that teams can efficiently update and retrieve documentation. By providing templates and automation options, it simplifies the creation of consistent, accurate, and up-to-date IT documentation. This software improves efficiency, reduces downtime, and ensures that critical IT knowledge is available to support staff and teams.
API Documentation Tools
API documentation tools are software tools that help developers create, maintain, and publish documentation for their Application Programming Interfaces (APIs). These tools streamline the process of explaining how to use an API, providing code examples, and outlining endpoints, parameters, and response formats. Many API documentation tools automatically generate docs from the codebase or integrate with frameworks to keep documentation up to date with API changes. They often include interactive features, like live testing or sandbox environments, allowing developers to experiment with API requests directly from the documentation. Ultimately, these tools improve the developer experience by making it easier to understand and use APIs effectively.
Process Documentation Software
Process documentation software is designed to assist businesses in the organization and storage of their company's procedures. It provides a digital platform to store, organize, and share step-by-step instructions for any task or project. Process documentation software helps streamline existing processes with easily accessible data that can be referenced quickly. This type of software ensures that all employees are on the same page by providing clear procedural guidelines so everyone is working from the same source of information. Finally, process documentation software provides an efficient way for businesses to keep accurate records of their internal activities over time without having to manually enter data into written documents.
Document Workflow Software
Document workflow software is software designed to streamline the process of creating, editing, and sharing documents within an organization. It typically includes features such as document management, version control, and collaboration capabilities. This software can be used by teams of any size and allows for efficient communication and tracking of document progress. Many businesses find this type of software beneficial in increasing productivity and reducing errors in document processing. Overall, document workflow software offers a centralized platform for managing documents throughout their entire lifecycle.
Document Databases
Document databases are a type of NoSQL database designed to store, manage, and retrieve semi-structured data in the form of documents, typically using formats like JSON, BSON, or XML. Unlike traditional relational databases, document databases do not require a fixed schema, allowing for greater flexibility in handling diverse and evolving data structures. Each document in the database can contain different fields and data types, making it ideal for applications where data is complex and varied. These databases excel at scaling horizontally, making them well-suited for handling large volumes of data across distributed systems. Document databases are commonly used in modern web and mobile applications, where they provide efficient storage and fast access to rich, nested data structures.
Clinical Documentation Software
Clinical documentation software is designed to streamline the process of capturing, storing, and managing patient health information in a digital format. It allows healthcare professionals to input data such as patient histories, diagnoses, treatments, and progress notes, improving accuracy and efficiency. These systems are often integrated with electronic health records (EHR) to provide seamless access to comprehensive patient data. By digitizing clinical records, the software also enhances collaboration between care teams and supports compliance with regulatory standards like HIPAA. Ultimately, clinical documentation software helps improve patient care quality and reduces administrative burden for healthcare providers.
Document Automation Software
Document automation software is a type of software designed to help automate the creation, management, and distribution of documents. It can be used for a variety of different document types, from simple text documents to complex forms and reports. Document automation tools often include features such as automated data capture, template creation and management, workflow integrations and more. The goal of document automation software is to simplify document processes by removing the manual steps needed in typical document creation processes. Additionally, document automation tools can offer benefits such as faster processing times and improved accuracy due to fewer errors or omissions caused by manual entry and proofreading processes.
Document Parsers Software
Document parsers are tools that extract, interpret, and structure information from documents like PDFs, Word files, and scanned images. They use techniques such as natural language processing (NLP), optical character recognition (OCR), and machine learning to improve accuracy across diverse document types. Modern systems often incorporate retrieval-augmented generation (RAG), which combines data extraction with AI-driven question-answering for smarter, context-aware outputs.
Restoration Documentation Software
Restoration documentation software is designed to streamline and organize the process of documenting restoration projects, particularly in fields like construction, disaster recovery, and historical preservation. It allows professionals to capture detailed information about the restoration process, including photographs, materials used, timelines, and costs, ensuring thorough and accurate records. The software often features customizable templates, checklists, and reporting tools to enhance workflow efficiency and compliance with industry standards. It can also integrate with other software tools like project management and accounting systems for seamless project tracking.
File and Document Comparison Software
File and document comparison software enables users to compare the difference between two or more files or documents. File comparison tools can detect differences between files such as images, code, PDFs, media files, and more. Document comparison tools can detect the differences between two or more documents.
Intelligent Document Processing Software
Intelligent document processing (IDP) software uses artificial intelligence (AI) and machine learning (ML) to automate the extraction, classification, and processing of data from various types of documents, such as invoices, contracts, forms, and receipts. These platforms typically leverage optical character recognition (OCR) technology, natural language processing (NLP), and pattern recognition to understand and extract relevant data from unstructured content. IDP software helps businesses reduce manual data entry, improve accuracy, streamline workflows, and ensure compliance by automating document-related tasks. By using this software, organizations can save time, increase productivity, and enhance document processing efficiency.
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  • 1
    Krista

    Krista

    Krista

    Krista is a nothing-like-code intelligent automation platform that orchestrates your people, apps, and AI so you can optimize business outcomes. Krista builds and integrates machine learning and apps more simply than you can imagine. Krista is purpose-built to automate business outcomes, not just back-office tasks. Optimizing outcomes requires spanning departments of people & apps, deploying AI/ML for autonomous decision-making, leveraging your existing task automation, and enabling constant...
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  • 2
    QC Ware Forge
    Unique and efficient turn-key algorithms for data scientists. Powerful circuit building blocks for quantum engineers. Turn-key algorithm implementations for data scientists, financial analysts, and engineers. Explore problems in binary optimization, machine learning, linear algebra, and monte carlo sampling on simulators and real quantum hardware. No prior experience with quantum computing is required. Use NISQ data loader circuits to load classical data into quantum states to use with your...
    Starting Price: $2,500 per hour
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  • 3
    Dagster

    Dagster

    Dagster Labs

    Dagster is a next-generation orchestration platform for the development, production, and observation of data assets. Unlike other data orchestration solutions, Dagster provides you with an end-to-end development lifecycle. Dagster gives you control over your disparate data tools and empowers you to build, test, deploy, run, and iterate on your data pipelines. It makes you and your data teams more productive, your operations more robust, and puts you in complete control of your data...
    Starting Price: $0
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  • 4
    navio

    navio

    craftworks GmbH

    Seamless machine learning model management, deployment, and monitoring for supercharging MLOps for any organization on the best AI platform. Use navio to perform various machine learning operations across an organization's entire artificial intelligence landscape. Take your experiments out of the lab and into production, and integrate machine learning into your workflow for a real, measurable business impact. navio provides various Machine Learning operations (MLOps) to support you during...
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  • 5
    Edge Impulse

    Edge Impulse

    Edge Impulse

    Build advanced embedded machine learning applications without a PhD. Collect sensor, audio, or camera data directly from devices, files, or cloud integrations to build custom datasets. Leverage automatic labeling tools from object detection to audio segmentation. Set up and run reusable scripted operations that transform your input data on large sets of data in parallel by using our cloud infrastructure. Integrate custom data sources, CI/CD tools, and deployment pipelines with open APIs....
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  • 6
    Google Cloud TPU
    Machine learning has produced business and research breakthroughs ranging from network security to medical diagnoses. We built the Tensor Processing Unit (TPU) in order to make it possible for anyone to achieve similar breakthroughs. Cloud TPU is the custom-designed machine learning ASIC that powers Google products like Translate, Photos, Search, Assistant, and Gmail. Here’s how you can put the TPU and machine learning to work accelerating your company’s success, especially at scale. Cloud...
    Starting Price: $0.97 per chip-hour
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  • 7
    Predibase

    Predibase

    Predibase

    Declarative machine learning systems provide the best of flexibility and simplicity to enable the fastest-way to operationalize state-of-the-art models. Users focus on specifying the “what”, and the system figures out the “how”. Start with smart defaults, but iterate on parameters as much as you’d like down to the level of code. Our team pioneered declarative machine learning systems in industry, with Ludwig at Uber and Overton at Apple. Choose from our menu of prebuilt data connectors that...
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  • 8
    Comet

    Comet

    Comet

    Manage and optimize models across the entire ML lifecycle, from experiment tracking to monitoring models in production. Achieve your goals faster with the platform built to meet the intense demands of enterprise teams deploying ML at scale. Supports your deployment strategy whether it’s private cloud, on-premise servers, or hybrid. Add two lines of code to your notebook or script and start tracking your experiments. Works wherever you run your code, with any machine learning library, and for...
    Starting Price: $179 per user per month
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  • 9
    Nyckel

    Nyckel

    Nyckel

    Nyckel makes it easy to auto-label images and text using AI. We say ‘easy’ because trying to do classification through complex “we-do-it-all” AI/ML tools is hard. Especially if you’re not a machine learning expert. That’s why Nyckel built a platform that makes image and text classification easy for everyone. In just a few minutes, you can train an AI model to identify attributes of any image or text. Whether you’re sorting through images, moderating text, or needing real-time content...
    Starting Price: Free
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  • 10
    TrueFoundry

    TrueFoundry

    TrueFoundry

    TrueFoundry is a Cloud-native Machine Learning Training and Deployment PaaS on top of Kubernetes that enables Machine learning teams to train and Deploy models at the speed of Big Tech with 100% reliability and scalability - allowing them to save cost and release Models to production faster. We abstract out the Kubernetes for Data Scientists and enable them to operate in a way they are comfortable. It also allows teams to deploy and fine-tune large language models seamlessly with full...
    Starting Price: $5 per month
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  • 11
    Arthur AI
    Track model performance to detect and react to data drift, improving model accuracy for better business outcomes. Build trust, ensure compliance, and drive more actionable ML outcomes with Arthur’s explainability and transparency APIs. Proactively monitor for bias, track model outcomes against custom bias metrics, and improve the fairness of your models. See how each model treats different population groups, proactively 
identify bias, and use Arthur's proprietary bias mitigation techniques....
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  • 12
    Superwise

    Superwise

    Superwise

    Get in minutes what used to take years to build. Simple, customizable, scalable, secure, ML monitoring. Everything you need to deploy, maintain and improve ML in production. Superwise is an open platform that integrates with any ML stack and connects to your choice of communication tools. Want to take it further? Superwise is API-first and everything (and we mean everything) is accessible via our APIs. All from the comfort of the cloud of your choice. When it comes to ML monitoring you have...
    Starting Price: Free
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  • 13
    Replicate

    Replicate

    Replicate

    Replicate is a platform that enables developers and businesses to run, fine-tune, and deploy machine learning models at scale with minimal effort. It offers an easy-to-use API that allows users to generate images, videos, speech, music, and text using thousands of community-contributed models. Users can fine-tune existing models with their own data to create custom versions tailored to specific tasks. Replicate supports deploying custom models using its open-source tool Cog, which handles...
    Starting Price: Free
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  • 14
    Materials Zone

    Materials Zone

    Materials Zone

    From materials data to better products, faster! Accelerates R&D, scale-up, and optimizes manufacturing QC and supply chain decisions. Discover new materials, use ML guidance to forecast outcomes, and achieve faster and improved results. Build a model on your way to production. Test the model's limits behind your products to design cost-efficient and robust production lines. Use models to predict future failures based on supplied materials informatics and production line parameters. The...
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  • 15
    WEKA

    WEKA

    WEKA

    WEKA provides a high-performance data platform optimized for AI and machine learning, offering scalable solutions for businesses and research labs. With the ability to handle vast amounts of data across on-premises, cloud, and hybrid environments, WEKA accelerates data workflows, enabling faster AI training, inference, and high-performance computing (HPC). The platform features infinite scalability, simplifying data storage, and providing seamless access to data across multiple locations....
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  • 16
    Apache PredictionIO
    Apache PredictionIO® is an open-source machine learning server built on top of a state-of-the-art open-source stack for developers and data scientists to create predictive engines for any machine learning task. It lets you quickly build and deploy an engine as a web service on production with customizable templates. Respond to dynamic queries in real-time once deployed as a web service, evaluate and tune multiple engine variants systematically, and unify data from multiple platforms in batch...
    Starting Price: Free
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  • 17
    Amazon Lookout for Metrics
    Reduce false positives and use machine learning (ML) to accurately detect anomalies in business metrics. Diagnose the root cause of anomalies by grouping related outliers together. Summarize root causes and rank them by severity. Seamlessly integrate AWS databases, storage services, and third-party SaaS applications to monitor metrics and detect anomalies. Automate customized alerts and actions when anomalies are detected. Automatically detect anomalies within metrics and identify their root...
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  • 18
    Openlayer

    Openlayer

    Openlayer

    Onboard your data and models to Openlayer and collaborate with the whole team to align expectations surrounding quality and performance. Breeze through the whys behind failed goals to solve them efficiently. The information to diagnose the root cause of issues is at your fingertips. Generate more data that looks like the subpopulation and retrain the model. Test new commits against your goals to ensure systematic progress without regressions. Compare versions side-by-side to make informed...
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  • 19
    Core ML

    Core ML

    Apple

    Core ML applies a machine learning algorithm to a set of training data to create a model. You use a model to make predictions based on new input data. Models can accomplish a wide variety of tasks that would be difficult or impractical to write in code. For example, you can train a model to categorize photos or detect specific objects within a photo directly from its pixels. After you create the model, integrate it in your app and deploy it on the user’s device. Your app uses Core ML APIs...
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  • 20
    UnionML

    UnionML

    Union

    Creating ML apps should be simple and frictionless. UnionML is an open-source Python framework built on top of Flyte™, unifying the complex ecosystem of ML tools into a single interface. Combine the tools that you love using a simple, standardized API so you can stop writing so much boilerplate and focus on what matters: the data and the models that learn from them. Fit the rich ecosystem of tools and frameworks into a common protocol for machine learning. Using industry-standard machine...
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  • 21
    Union Cloud

    Union Cloud

    Union.ai

    Union.ai is an award-winning, Flyte-based data and ML orchestrator for scalable, reproducible ML pipelines. With Union.ai, you can write your code locally and easily deploy pipelines to remote Kubernetes clusters. “Flyte’s scalability, data lineage, and caching capabilities enable us to train hundreds of models on petabytes of geospatial data, giving us an edge in our business.” — Arno, CTO at Blackshark.ai “With Flyte, we want to give the power back to biologists. We want to stand up...
    Starting Price: Free (Flyte)
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  • 22
    ZenML

    ZenML

    ZenML

    Simplify your MLOps pipelines. Manage, deploy, and scale on any infrastructure with ZenML. ZenML is completely free and open-source. See the magic with just two simple commands. Set up ZenML in a matter of minutes, and start with all the tools you already use. ZenML standard interfaces ensure that your tools work together seamlessly. Gradually scale up your MLOps stack by switching out components whenever your training or deployment requirements change. Keep up with the latest changes in the...
    Starting Price: Free
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  • 23
    Nethone

    Nethone

    Nethone

    Our AI-powered fraud prevention solution exhaustively screens every single user to stop all the risky ones without friction to the good ones, your customers. Passively and in real-time. Know your users, on your website, Android, and iOS. Maximize the acceptance rate and reduce your fraud/chargeback ratio with the most accurate financial transaction fraud detection solutions. No manual review if you don't need it and no bothering your customers, just fraud protection. We bring you more...
    Starting Price: $0.03 per month
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  • 24
    Vaex

    Vaex

    Vaex

    At Vaex.io we aim to democratize big data and make it available to anyone, on any machine, at any scale. Cut development time by 80%, your prototype is your solution. Create automatic pipelines for any model. Empower your data scientists. Turn any laptop into a big data powerhouse, no clusters, no engineers. We provide reliable and fast data driven solutions. With our state-of-the-art technology we build and deploy machine learning models faster than anyone on the market. Turn your data...
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  • 25
    Apache Mahout

    Apache Mahout

    Apache Software Foundation

    Apache Mahout is a powerful, scalable, and versatile machine learning library designed for distributed data processing. It offers a comprehensive set of algorithms for various tasks, including classification, clustering, recommendation, and pattern mining. Built on top of the Apache Hadoop ecosystem, Mahout leverages MapReduce and Spark to enable data processing on large-scale datasets. Apache Mahout(TM) is a distributed linear algebra framework and mathematically expressive Scala DSL...
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  • 26
    Lightly

    Lightly

    Lightly

    Lightly selects the subset of your data with the biggest impact on model accuracy, allowing you to improve your model iteratively by using the best data for retraining. Get the most out of your data by reducing data redundancy, and bias, and focusing on edge cases. Lightly's algorithms can process lots of data within less than 24 hours. Connect Lightly to your existing cloud buckets and process new data automatically. Use our API to automate the whole data selection process. Use...
    1 Rating
    Starting Price: $280 per month
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  • 27
    Deep Infra

    Deep Infra

    Deep Infra

    Powerful, self-serve machine learning platform where you can turn models into scalable APIs in just a few clicks. Sign up for Deep Infra account using GitHub or log in using GitHub. Choose among hundreds of the most popular ML models. Use a simple rest API to call your model. Deploy models to production faster and cheaper with our serverless GPUs than developing the infrastructure yourself. We have different pricing models depending on the model used. Some of our language models offer...
    1 Rating
    Starting Price: $0.70 per 1M input tokens
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  • 28
    Chalk

    Chalk

    Chalk

    Powerful data engineering workflows, without the infrastructure headaches. Complex streaming, scheduling, and data backfill pipelines, are all defined in simple, composable Python. Make ETL a thing of the past, fetch all of your data in real-time, no matter how complex. Incorporate deep learning and LLMs into decisions alongside structured business data. Make better predictions with fresher data, don’t pay vendors to pre-fetch data you don’t use, and query data just in time for online...
    Starting Price: Free
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  • 29
    Baidu AI Cloud Machine Learning (BML)
    Baidu AI Cloud Machine Learning (BML), an end-to-end machine learning platform designed for enterprises and AI developers, can accomplish one-stop data pre-processing, model training, and evaluation, and service deployments, among others. The Baidu AI Cloud AI development platform BML is an end-to-end AI development and deployment platform. Based on the BML, users can accomplish the one-stop data pre-processing, model training and evaluation, service deployment, and other works. The platform...
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  • 30
    Yandex DataSphere

    Yandex DataSphere

    Yandex.Cloud

    Select the configuration and resources needed for specific code segments in your ongoing project. It takes seconds to apply changes within a training scenario and save the work result. Choose the right configuration for computing resources to start training models in just a few seconds. Everything will be created automatically with no need to manage infrastructure. Choose an operating mode: serverless or dedicated. Manage project data, save it to datasets, and set up connections to...
    Starting Price: $0.095437 per GB
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