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.
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 GitHub Gist. It has been mentiond 24 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.
Some tools for model validation include Neptune AI, Kolena, and Censius. - Source: dev.to / 6 months ago
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 / about 1 year 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 / over 1 year 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 / over 1 year 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: almost 2 years ago
If you are learning things, you could also create github gists. That way your repos will only be coding related, while you can create tutorials / work exercises in gists. Source: over 2 years ago
I use Github, both for full repos and for short gists. Source: about 3 years ago
On the other hand, shared DartPads are just gists on GitHub so theoretically they can include code that works with different packages. Of course, such gists will not compile in DartPad and will be displayed as having errors :(. Source: over 3 years ago
Perhaps github gists? https://gist.github.com/discover. Source: over 3 years ago
I looked at Github gists, but they are focused in displaying the markdown sourcecode (so e.g. Hyperlinks won't be clickable [1] ). Options just don't seem to be focused on simply hosting PDFs/information with clickable references. Source: over 3 years ago
Comet.ml - Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.
Pastebin.com - Pastebin.com is a website where you can store text for a certain period of time.
Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.
PrivateBin - PrivateBin is a minimalist, open source online pastebin where the server has zero knowledge of...
Weights & Biases - Developer tools for deep learning research
hastebin - Pad editor for source code.