zenml
handbook
Our great sponsors
zenml | handbook | |
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33 | 6 | |
3,657 | 133 | |
3.1% | 3.8% | |
9.8 | 9.9 | |
1 day ago | 2 days ago | |
Python | TypeScript | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
zenml
- FLaNK AI - 01 April 2024
- What are some open-source ML pipeline managers that are easy to use?
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[P] I reviewed 50+ open-source MLOps tools. Hereโs the result
Currently, you can see the integrations we support here and it includes a lot of tools in your list. I also feel I agree with your categorization (it is exactly the categorization we use in our docs pretty much). Perhaps one thing missing might be feature stores but that is a minor thing in the bigger picture.
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[P] ZenML: Build vendor-agnostic, production-ready MLOps pipelines
GitHub: https://github.com/zenml-io/zenml
- Show HN: ZenML โ Portable, production-ready MLOps pipelines
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[D] Feedback on a worked Continuous Deployment Example (CI/CD/CT)
Hey everyone! At ZenML, we released today an integration that allows users to train and deploy models from pipelines in a simple way. I wanted to ask the community here whether the example we showcased makes sense in a real-world setting:
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How we made our integration tests delightful by optimizing our GitHub Actions workflow
As of early March 2022 this is the new CI pipeline that we use here at ZenML and the feedback from my colleagues -- fellow engineers -- has been very positive overall. I am sure there will be tweaks, changes and refactorings in the future, but for now, this feels Zen.
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Ask HN: Who is hiring? (March 2022)
ZenML is hiring for a Design Engineer.
ZenML is an extensible, open-source MLOps framework to create production-ready machine learning pipelines. Built for data scientists, it has a simple, flexible syntax, is cloud- and tool-agnostic, and has interfaces/abstractions that are catered towards ML workflows.
Weโre looking for a Design Engineer with a multi-disciplinary skill-set who can take over the look and feel of the ZenML experience. ZenML is a tool designed for developers and we want to delight them from the moment they land on our web page, to after they start using it on their machines. We would like a consistent design experience across our many touchpoints (including the [landing page](https://zenml.io), the [docs](https://docs.zenml.io), the [blog](https://blog.zenml.io), the [podcast](https://podcast.zenml.io), our social media, the product itself which is a [python package](https://github.com/zenml-io/zenml) etc).
A lot of this job is about communicating complex ideas in a beautiful way. You could be a developer or a non-coding designer, full time or part-time, employee or freelance. We are not so picky about the exact nature of this role. If you feel like you are a visually creative designer, and are willing to get stuck in the details of technical topics like MLOps, we canโt wait to work with you!
Apply here: https://zenml.notion.site/Design-Engineer-m-f-1d1a219f18a341...
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How to improve your experimentation workflows with MLflow Tracking and ZenML
The best place to see MLflow Tracking and ZenML being used together in a simple use case is our example that showcases the integration. It builds on the quickstart example, but shows how you can add in MLflow to handle the tracking. In order to enable MLflow to track artifacts inside a particular step, all you need is to decorate the step with @enable_mlflow and then to specify what you want logged within the step. Here you can see how this is employed in a model training step that uses the autolog feature I mentioned above:
- ZenML helps data scientists work across the full stack
handbook
- Ask HN: What companies have publicly available handbooks?
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Show HN: 27 Companies hiring software engineers based anywhere in the world
Sorry for the glitchy scrolling issue on our handbook, thank you both for re-raising this, and thank you @niel for the PR (https://github.com/sourcegraph/handbook/pull/6080). I confirmed that the PR fixed it, and I just merged the PR.
- Artsy Engineering Handbook
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Ask HN: Who is hiring? (January 2022)
My biggest endorsement of Sourcegraph is that on Sunday nights I look forward to getting back to it on Monday morning to work with my amazing team and solve hard problems. I struggled with Sunday scaries at my previous job and I've had nothing like that at Sourcegraph.
I highly encourage you to apply if you have even a passing interest in Sourcegraph. Check out our handbook (https://handbook.sourcegraph.com) where we answer most questions you'll have. Or send me an email and I'd gladly chat with you about the company and how we operate.
- sourcegraph/handbook: ๐ The new Sourcegraph handbook
What are some alternatives?
MLflow - Open source platform for the machine learning lifecycle
Zulip - Zulip server and web application. Open-source team chat that helps teams stay productive and focused.
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
tracee - Linux Runtime Security and Forensics using eBPF
seldon-core - An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
established-remote - A list of established remote companies
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
deno - A modern runtime for JavaScript and TypeScript.
Poetry - Python packaging and dependency management made easy
README - :wave: - The documentation for being an Artsy Engineer
pulsechain-testnet
PostHog - ๐ฆ PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.