Track and version your notebooks Log all your notebooks directly from Jupyter or Jupyter Lab. All you need is to install a Jupyter extension.
Manage your experimentation process Neptune tracks your work with virtually no interference to the way you like to do it. Decide what is relevant to your project and start tracking: - Metrics - Hyperparameters - Data versions - Model files - Images - Source code
Integrate with your workflow easily Neptune is a lightweight extension to your current workflow. Works with all common technologies in data science domain and integrates with other tools. It will take you 5 minutes to get started.
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Only negative is I didn't see it integrated with Azure, does with Google, AWS and one more. Looks real nice, and pretty powerful and plenty useful features for a data science group
Based on our record, neptune.ai should be more popular than Crypto Buyer's Guide. It has been mentiond 23 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Experiment tracking tools like MLflow, Weights and Biases, and Neptune.ai provide a pipeline that automatically tracks meta-data and artifacts generated from each experiment you run. Although they have varying features and functionalities, experiment tracking tools provide a systematic structure that handles the iterative model development approach. - Source: dev.to / 25 days ago
Neptune.ai - Log, store, display, organize, compare, and query all your MLOps metadata. Free for individuals: 1 member, 100 GB of metadata storage, 200h of monitoring/month. - Source: dev.to / 5 months ago
Hi I am Jakub. I run marketing at a dev tool startup https://neptune.ai/ and I share learnings on dev tool marketing on my blog https://www.developermarkepear.com/. Whenever I'd start a new marketing project I found myself going over a list of 20+ companies I knew could have done something well to “copy-paste” their approach as a baseline (think Tailscale, DigitalOCean, Vercel, Algolia, CircleCi, Supabase,... - Source: Hacker News / 9 months ago
There are a lot of tools out there for experiment tracking (eg neptune.ai), but I'm really not sure whether that sort of thing is over the top for what I need to do. Source: 10 months ago
Welcome to another episode of The Developer-led Podcast, where we dive into the strategies modern companies use to build and grow their developer tools. In this exciting episode, we're joined by Jakub Czakon, the CMO at Neptune.ai, a startup that assists developers in efficiently managing their machine-learning model data. Jakub is renowned not only for his role at Neptune.ai but also for his developer marketing... - Source: dev.to / 10 months ago
There is a google docs form to fill out at the top of the ethos.io page ( I don't want to direct link it, not sure if it has identifiers in the URL?). Source: over 1 year ago
I hate pushing my opinion on folks (because I really do respect folks who want to be fully done and they're completely valid) but I really do think there should be at least some consideration to the waves or ethos.io proposals (or more due diligence since it seemed like Binance and a few other companies were involved). If FTX truly is the best deal fine, but I do think equity and our crypto being given back... Source: over 1 year ago
4) Voyager took multiple years to switch simple systems and was called out by ethos.io and former board director https://twitter.com/shingolavine/status/1574472263247634432. Source: almost 2 years ago
Shingo Lavine who's company Ethos.io (that was acquired by Voyager) made a statement on this as well: https://twitter.com/shingolavine/status/1573030726139727872 stating that that app remake and sharing revenue plan might work well with their Ethos.io plan / proposal here: https://cases.stretto.com/public/x193/11753/PLEADINGS/1175307292280000000006.pdf. Source: almost 2 years ago
And that ethos.io was not rebranded into VOyager. Voyager bought Ethos....2 very different scenarios. Source: over 2 years ago
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