neptune.ml

    OverviewSuggest Edit

    Neptune is a company that develops a tracking tool bringing organization and collaboration to data science projects. It tracks the work process and records metrics, hyperparameters, images, data versions, model files, and source code allowing to analyze it later.
    TypePrivate
    Founded2017
    HQWarszawa, PL
    Websiteneptune.ml

    Latest Updates

    Employees (est.) (Nov 2021)44(+5%)
    Cybersecurity ratingAMore
    Discover new suppliers and conduct deeper comparison analysis with Craft for EnterpriseLearn more
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    Key People/Management at neptune.ml

    Piotr Niedzwiedz

    Piotr Niedzwiedz

    CEO & Founder
    Michał Kłonowski

    Michał Kłonowski

    Head of Finance and Operations
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    neptune.ml Office Locations

    neptune.ml has an office in Warszawa
    Warszawa, PL (HQ)
    Krańcowa 5
    Show all (1)

    neptune.ml Financials and Metrics

    Summary Metrics

    Founding Date

    2017

    neptune.ml Cybersecurity Score

    Cybersecurity ratingPremium dataset

    A

    95/100

    SecurityScorecard logo

    neptune.ml Online and Social Media Presence

    Embed Graph

    neptune.ml Blogs

    The Best Weights & Biases Alternatives

    Weights & Biases, also known as WandB, is an MLOps tool for performance visualization and experimental tracking of machine learning models. It helps with automation, tracking, training, and improvement of ML models.  Weights & Biases is a cloud-based service that allows you to host your expe…

    Hugging Face Pre-trained Models: Find the Best One for Your Task

    When you are working on a Machine learning problem, adapting an existing solution and repurposing it can help you get to a solution much faster. Using existing models, not just aid machine learning engineers or data scientists but also helps companies to save computational costs as it requires less …

    Best Tools for ML Model Governance, Provenance, and Lineage

    ML software development is complex; building an ML model is one thing, improving and maintaining it, is another. If you want your machine learning models to be robust, compliant, and give reproducible results, you must invest time and money in quality model management.  Model governance, model prove…

    Moving From TensorFlow To PyTorch

    The concept of Deep Learning frameworks, libraries, and numerous tools exist to reduce the large amounts of manual computations that must otherwise be calculated. TensorFlow and PyTorch are currently two of the most popular frameworks to construct neural network architectures.  While TensorFlow was …

    K-Means Clustering Explained

    Clustering was introduced in 1932 by H.E. Driver and A.L.Kroeber in their paper on “Quantitative expression of cultural relationship”. Since then this technique has taken a big leap and has been used to discover the unknown in a number of application areas eg. Healthcare. Clustering is a type of uns…

    Top Model Versioning Tools for Your ML Workflow

    In recent times, Machine Learning has gained importance due to its ability to guide businesses in making precise and accurate decisions. Under the hood, Machine Learning is an iterative and repetitive process. Series of training jobs are done to optimize a model’s predictive performance.  Without th…
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    neptune.ml Frequently Asked Questions

    • When was neptune.ml founded?

      neptune.ml was founded in 2017.

    • Who are neptune.ml key executives?

      neptune.ml's key executives are Piotr Niedzwiedz and Michał Kłonowski.

    • How many employees does neptune.ml have?

      neptune.ml has 44 employees.

    • Who are neptune.ml competitors?

      Competitors of neptune.ml include Verint Monet, Cezanne HR and Acumen.

    • Where is neptune.ml headquarters?

      neptune.ml headquarters is located at Krańcowa 5, Warszawa.

    • Where are neptune.ml offices?

      neptune.ml has an office in Warszawa.

    • How many offices does neptune.ml have?

      neptune.ml has 1 office.